HPE’s Krista Satterthwaite and AMD’s Dan McNamara join Patrick Moorhead and Daniel Newman to explain how the shift from training to agentic inference is changing enterprise server buying, and why four new ProLiant Gen13 models target performance per watt. For enterprises, matching compute to each workload sets how quickly modernization and AI adoption can move.

A midterm election that put data centers on the ballot, followed by one of the sharpest two-day market swings in recent memory, changed the AI conversation this week, even as earnings from AMD, Arm, Lattice, and Coherent pointed to demand that hasn't slowed. Patrick Moorhead and Daniel Newman unpack what the election results could mean for the AI buildout, why the market reacted the way it did, and what the week's earnings actually showed.

IBM’s Max Jesch joins Jason Andersen to explain how IBM Bob pairs premium packages, rule-based migration tooling, and on-premises models to bring AI agents to mainframe and other mission-critical code. For regulated teams, where agents run and how much control developers keep determine whether modernization can move forward.

IBM’s Shaun Clowes joins Brad Shimmin to explain Streamhouse, an emerging architecture that continuously delivers the current state of the business to AI agents and applications alongside the lakehouse. Organizations that move real-time processing out of batch systems let agents act on what is happening now instead of stale data.

Sai Govender, Founder and CEO of Blue Pearl, joins Jason Andersen at IBM TechXchange 2026 to explain how IBM Bob cut Java, .NET, and Excel modernization work from months to days or weeks. He says the approach holds up because senior engineers stay in the loop to validate the output before it reaches production.

According to Signal65's findings, Arm AGI CPU delivers roughly twice the modeled work per rack compared with AMD EPYC 9755, building on a 1.2x average per-chip performance advantage, because density within a fixed power budget decides how much agentic CPU work a data center can host.

Anthropic's S-1 puts frontier AI economics on the public record, Oracle adds TPUs and Cerebras to a compute stack that was mostly NVIDIA, and hyperscaler earnings show cloud growth is exceeding free cash flow. Together they make capital structure, more than demand, the constraint on who can scale. Patrick Moorhead and Daniel Newman work through what the filings, the earnings, and a neocloud financing debate say about who can afford the build-out.

At OCP Global Summit 2026, LITEON, NVIDIA, and QCT explain why megawatt-scale AI racks are driving a shift from 54-volt to 800 VDC power architecture. For data center operators, the transition depends on a shared specification, retrofit paths for existing sites, and liquid-cooled power innovation.

At the Google Public Sector Summit, Field CTO Chris Hein explains how agencies can scale AI agents safely, from TPU capacity and smart model routing to zero trust for the agentic workforce. Agencies that get those foundations right can deliver government services that beat everyday consumer experiences.

At the Google Public Sector Summit, Katharyn White explains how agencies are turning moonshot AI goals into daily operations, from Gemini for Government Services to more than 500,000 user-built agents in a single deployment. Agencies that prioritize steady progress and real behavior change can deliver mission impact from day one.

Altera President and CEO Raghib Hussain explains why FPGAs now operate as programmable companions to CPUs, GPUs, and custom ASICs as AI model churn outpaces silicon design cycles. For infrastructure and physical AI teams, programmable data movement and sensor processing determine how quickly systems adapt after deployment.

At the F1 U.S. Grand Prix, Mercedes-AMG PETRONAS F1 Team CIO Michael Taylor and HPE’s Max Walker explain how the team rebuilds its IT at every race, self-hosts AI under the FIA cost cap, and cuts simulation time from three days to one. Their partnership shows how resilient infrastructure and iterative AI adoption let organizations move fast without breaking what works.

At the F1 U.S. Grand Prix, Toto Wolff and Antonio Neri join Patrick Moorhead and Daniel Newman to talk about what happens when the strategy model and the driver disagree, why Wolff’s strategy team wins that argument 99% of the time, and where the cost cap lets Mercedes spend on AI next. Nearly 10 years into the HPE partnership, the lesson for the enterprise is to decide who owns the final call before the pressure hits.

On this Six Five Virtual Webcast, AWS’s Chris Sullivan explains how partners and AWS Marketplace are helping mid-market companies move agentic AI from proof of concept to production without enterprise-sized IT teams. Starting with a real business problem and the right partner gives these organizations a faster path to measurable results.

On Six Five Connected, Diana Blass explores how HPE is scaling AI across its own business and what agentic AI demands from compute, memory, edge, and networking infrastructure. Enterprises that design infrastructure around their most valuable use cases can turn AI adoption into measurable savings.

On The Main Scoop, Vertali's Mark Wilson explains why AI-driven vulnerability discovery and looming post-quantum deadlines are forcing mainframe teams to rebuild their maintenance cycles. Teams that combine AI-assisted vigilance with security fundamentals and early cryptographic inventories will stay ahead of threat actors.

NetApp’s Adam Gale explains why sovereign AI now depends on moving complete services quickly while preserving control and security. For enterprises facing regulatory and geopolitical shifts, portability has to be built into the data platform before a crisis forces the move.

On Episode 324 of The Six Five Pod, Patrick Moorhead and Daniel Newman unpack the biggest stories from the week, including new agent models from Meta, Google, and NVIDIA, Microsoft's Maia 300, Applied Materials' EPIC Center, AMD, NVIDIA, and Cisco at OCP Global Summit 2026, and the Apple-Meta Muse Spark Open partnership, plus a Flip debate on whether AI leaderboards serve vendors more than enterprise buyers. Plus, Bulls & Bears covers the CPI and PPI shock that rattled the AI trade, Anthropic's investor event, ASML's record quarter, and TSMC's earnings results.

Snowflake’s Pavan Pothukuchi explains why enterprise AI agents still struggle to act on systems of record, and how governed data platforms, semantic layers, and scoped agent identity close the gap. For enterprise leaders, agent autonomy has become a data architecture decision.

On Connected, Diana Blass tours Applied Materials' $5 billion EPIC Center, where chipmakers, equipment developers, and researchers will work in parallel to move AI chip breakthroughs from lab to market faster. Earlier collaboration could cut years from development cycles as AI demand outpaces manufacturing capacity.

At OCP Global Summit 2026, MiTAC Computing's Raymond Huang explains why AI infrastructure has become a full-stack integration problem spanning compute density, cooling, firmware, and deployment speed. For data center operators, advanced cooling and open management are now as decisive to scaling AI as GPU selection.

Marvell’s Sandeep Bharathi, Xi Wang, and Russ Esmacher explain why connectivity has become AI’s next rate limiter, from the copper wall inside the rack to scale-across links between AI clusters. For hyperscalers, the connectivity bets made today must hold up across multiple bandwidth generations.

On the Six Five Virtual Webcast, Kestra's Kai Waehner explains how AI agents acting across fragmented automation are moving governance out of individual tools and into a unified orchestration layer. Enterprises that define accountability, access control, and sovereignty requirements in that layer first can scale agents without losing end-to-end control.

On Episode 323 of The Six Five Pod, Patrick Moorhead and Daniel Newman unpack the biggest stories from the week, including Microsoft and NVIDIA’s hybrid intelligence push for Windows, Marvell’s Investor Day, new models from Anthropic, Mistral, and Reflection, the AI labs’ accountability hearings in New York and Australia, Google’s model-neutral Gemini agent, and whether temporary construction jobs justify AI data centers. Plus, Bulls & Bears covers Thursday’s chip-led pullback, NVIDIA’s run past $240, and Samsung’s record Q3 guidance.

At AI Infra Summit 2026, Synopsys' Thomas Andersen joins Brendan Burke and Matt Kimball to explain how chip design is moving from AI copilots that suggest to agentic systems that execute tool orchestration, timing fixes, and verification from a written spec. For enterprises, that shift compresses spec-to-tapeout timelines and lowers the resource barrier to custom silicon.

The companies racing to build frontier AI just agreed to referee themselves. Over the same week, launches, investor days, and earnings put a price on that arrangement. Microsoft is charging for finished work, NVIDIA is selling agent containment as infrastructure, and the suppliers AI can't route around, from Synopsys to Micron, are collecting the premium. Patrick Moorhead and Daniel Newman separate signal from stagecraft, then split hard on whether the White House accord actually binds these key players to anything.

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HPE's Varma Kunaparaju talks with Patrick Moorhead and Daniel Newman about why virtualization licensing changes are forcing enterprises to confront a bigger decision than which hypervisor to choose next: what operating model sits underneath their private cloud and AI factory. He outlines how CxOs can sequence modernization in phases, extend governance across open and frontier models, and decide where automation should replace human approval in IT operations.

IFS Loops CEO Somya Kapoor joins Keith Kirkpatrick to explain why agentic digital workers stall between pilot and production, and why governance, escalation design, and change management now shape adoption more than building agents does. Drawing on new Futurum research, she shows how enterprises can start with imperfect data and redirect reclaimed capacity toward growth.

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Meta's Muse launch turned a consumer AI agent into a CPU demand story, a new round of frontier model releases sharpened the fight over token economics, and AMD crossed the trillion-dollar mark on the same compute thesis. Patrick Moorhead and Daniel Newman break down Meta Connect, Qualcomm's agentic-device push, the AI policy debate, and whether Meta has finally cracked mainstream AI wearables.

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Google is moving enterprise AI beyond general-purpose tools and into industry-specific workflows built for regulated sectors such as legal and financial services. Satish Thomas, Vice President, Business and Industry Solutions at Google, joins Six Five to explain how Gemini Enterprise for Industries combines purpose-built skills, ready-to-deploy agents, model choice, and an open partner ecosystem to bring AI into the workflows enterprises already run.

Signal65 President Ryan Shrout and Senior Performance Analyst Mitch Lewis review a new three-level inference infrastructure evaluation of AMD's Instinct MI355X against NVIDIA's HGX B200 with AMD's Andrew Dieckmann and Anush Elangovan. The MI355X's memory bandwidth advantage compounds as context and concurrency scale, delivering up to 2.25x throughput gains and roughly 40 percent lower cost per GPU hour.

Anthropic's "Pace the Frontier" essay set off a week in which nearly every major AI leader, and two heads of state, weighed in on whether the frontier should slow down. Patrick Moorhead and Daniel Newman read the incident as something larger than a safety debate. Whoever sets the pace of the frontier also sets the pace for open-weight models, enterprise custom models, and the trillion-dollar valuations riding on top of them. That contest, not the essay itself, is the through-line of Episode 320 of The Six Five Pod.

Western Digital's Tim Rausch argues that AI's compounding data growth, more than GPU capacity, sets the real ceiling on infrastructure scaling. He joins Matt Kimball at AI InfraSummit 2026 to walk through how total cost of ownership, archived data reuse, and WD's capacity roadmap are reshaping enterprise plans to scale AI over the next several years.

Chad Rikansrud, R&D Software Security Engineer at Broadcom, explains how frontier AI models are finding decades-old mainframe vulnerabilities in seconds, collapsing the complexity advantage that once protected legacy platforms. He outlines why enterprises need faster Security Intelligence (SECINT) ingestion and disciplined human oversight to keep pace with adversaries wielding the same tools.

Physical AI is shifting from lab prototypes to fleets of machines operating reliably in the real world, and Ambarella's Muneyb Minhazuddin joins Six Five On The Road at AI Infra 2026 to explain what that shift demands of silicon, memory and developer workflows. Minhazuddin traces the case back to a 22-year-old chip architecture and forward to a developer cloud built to compress model porting time from months to days, and he identifies enterprise ROI proof points as the biggest hurdle left before physical AI scales into millions of deployed units.

A viral AI extinction claim, a federal advisory naming six Chinese AI labs for industrial-scale distillation, and a $60 billion Qualcomm-AWS silicon pact define a week when enterprise AI risk and opportunity collided head-on. Patrick Moorhead and Daniel Newman weigh in on what's signal and what's noise across AI safety, chip supply deals, and a market rally still betting big on compute.

A Six Five study found an eight-to-one cost gap between running an AI agent through a leading frontier model and running it on modest on-prem hardware. Paul Turner, Chief Product Officer of the VMware Cloud Foundation Division at Broadcom, joins Daniel Newman and Patrick Moorhead at VMware Explore 2026 to explain how VMware's AI Factory turns GPU provisioning, model management, and security into a repeatable path from infrastructure to production AI.

What infrastructure model makes the most sense when AI workloads move from experimentation into production?

In this analyst recap of VMware Explore 2026, Patrick Moorhead and Daniel Newman examine this central question facing enterprise technology leaders and how Broadcom and VMware are positioning private cloud as a critical foundation for bringing enterprise AI into production.

Enterprise AI economics are pulling workloads back toward on-premises infrastructure, with control over data as the primary driver. Ram Velaga, President of Broadcom's Infrastructure Software Group, joins Patrick Moorhead and Daniel Newman at VMware Explore 2026 to detail how Broadcom is helping customers route AI workloads, govern agents, and rebuild VMware's role underneath the AI buildout.

NVIDIA closes its $12.93 billion acquisition of Hugging Face, Anthropic signs its third $30 billion-plus compute deal in three weeks, and Signal65 launches its new PINNACLE agentic AI benchmark just in time to catch Claude Fable 5.1 topping the charts, all while Dell, HPE, Broadcom, and Snowflake post a blowout week of AI-driven earnings. Patrick Moorhead and Daniel Newman have all the details on Ep. 318 of The Six Five Pod.

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Two days after Signal65 launched its new Pinnacle benchmark for agentic AI, a new model release reversed one of its most consistent early findings. Ryan Shrout, President of Signal65, and Mitch Lewis join JV Roig of Kamiwaza.ai to discuss why Claude Fable 5.1 posted frontier-level performance with a fabrication rate other top models haven't matched, and what Pinnacle's early results reveal about evaluating AI for real enterprise work.

Broadcom is running its own software development lifecycle on a swarm of 21 AI agents, citing 2x feature velocity and a 60 percent drop in time to resolve issues. Purnima Padmanabhan, Vice President and General Manager of the Tanzu Division at Broadcom, joins Daniel Newman and Patrick Moorhead at VMware Explore 2026 to explain how agent sandboxing, governed data, and identity policy combine to build trust for agentic AI in production.

Salesforce and Anthropic launch Claudeforce as Marc Benioff and Dario Amodei explain the collaboration together on CNBC, AWS commits to 2 million more NVIDIA GPUs on top of its GTC pledge, plus six new earnings this week from NVIDIA, Salesforce, Synopsys, HP, Everpure, and Marvell test every bear thesis on AI infrastructure and software at once. Patrick Moorhead and Daniel Newman also cover Hot Chips 2026, the NVIDIA-Hugging Face acquisition rumor, and debate whether Anthropic's SaaS reassurances hold up on Ep. 317 of The Six Five Pod.

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Patrick Moorhead and Daniel Newman break down Marvell's $120 billion custom-silicon deal with Google, Qualcomm-owned Modular's open-source compiler push at ModCon 2026, and state-level pushback against AI data center construction in Texas and Pennsylvania. The hosts also flip roles to debate whether NVIDIA's reduced Ohio financing guarantee signals cracks in the AI infrastructure buildout.

Sovereign AI has moved from a compliance question to a matter of national autonomy, and enterprise leaders are now navigating it as a board-level infrastructure decision. Tom Shields and Russell Fishman of NetApp join Nick Patience of Futurum to unpack what's driving that shift, how sovereign strategy differs by region, and what data infrastructure requirements regulated organizations can no longer treat as optional.

NVIDIA mobilizes over $500 billion in third-party capital to finance AI infrastructure, Anthropic doubles down on data-center ownership and mandatory content watermarking, and Patrick Moorhead and Daniel Newman debate whether distributed AI at the edge is finally ready to accelerate, all on Ep. 315 of The Six Five Pod.

AI keeps getting framed as the disruption that finally sidelines the mainframe. Tom McPherson, General Manager of IBM Z and LinuxONE, joins Daniel Newman and Greg Lotko on The Main Scoop to explain why the opposite is happening, and what platform-native modernization delivers that lift-and-shift migration can't.

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Patrick Moorhead and Daniel Newman cover Tesla and SpaceX's $16.8 billion TerraFab chip factory, Samsung's zHBM debut at FMS 2026, a week of frontier model launches, and a simulated debate for “The Flip” over whether custom silicon will capture the majority of AI workload dollars by 2028. The episode closes with earnings from SpaceX, Palantir, AMD, Astera Labs, IonQ, and Lattice Semiconductor.

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AI infrastructure is running into a physical wall, and Samsung's answer is architectural. At FMS 2026, Samsung Semiconductor's Donovan Hwang and Eyal Pnini join Six Five to unveil zHBM and V10-BV, concept architectures designed to close the physical distance between memory and logic and keep pace with AI's growing demands.

As AI adoption accelerates, Zoho's Raju Vegesna argues enterprises must rethink sovereignty beyond data residency to include who owns the models processing that data. Vegesna joins Six Five to explain why retaining AI intelligence, not just information, determines whether a company remains a customer or becomes a hostage to its technology provider.

Mohamad Ali, SVP and Head of IBM Consulting, joins Daniel Newman to discuss how AI is transforming enterprise workflows, why consulting is becoming software, and what it takes to operationalize agentic AI at scale.

As enterprises move from AI experimentation to execution, data is emerging as the primary constraint on scale. Fragmented systems, unclear ownership, and weak governance are limiting outcomes.

This conversation explores why AI success depends on data discipline, orchestration, and treating data as a core enterprise asset.

Abe Dev, Vice President, Digital and Innovation at Riyadh Air, describes building a digital-native airline as "liberating" and "a bit terrifying" at once: no legacy systems to migrate off of, but also no working example to check decisions against. Daniel Newman gets into how orchestration became the discipline that replaced that missing benchmark.

Jason Kelley, GM and Managing Partner at IBM Consulting, and Tim Hatton, Vice President of Global Strategic Alliances at Oracle, tell Daniel Newman what it actually takes to make a multi-vendor AI partnership work: reward sharing, built-in failure prevention, and agreement on the outcome before any partner is assigned a role.

Nestlé's SAP modernization consolidated its global platform — but exposed that technology upgrades alone do not resolve accountability gaps, integration overhead, or execution speed. In this Six Five Virtual Webcast with IBM, David Mullen, Head of Strategic IT Sourcing at Nestlé, details how the company rebuilt its operating model around a vertically integrated delivery structure, outcome-based commercial agreements, and a single prime integrator — redefining what enterprise IT sourcing looks like at 200-country scale

79% of executives expect AI to significantly contribute to their revenue by 2030. Only 24% know what those revenue streams will actually be. Salima Lin, Managing Partner at IBM Consulting, and Dalia Tarabay, EVP of Corporate Strategy at IBM, tell Daniel Newman why that gap, not the technology itself, is what's holding most CEOs back from turning AI into real strategic advantage.

Patrick Moorhead and Daniel Newman break down a chaotic week that included Jensen Huang's debut on X in defense of open models, a new enterprise agentic reference blueprint from EY, NVIDIA, and LangChain, and a 24-hour market whiplash triggered by a hedge fund's forced liquidation into Citadel. The hosts also cover a stacked earnings week from Microsoft, Meta, Qualcomm, Arm, Apple, and Amazon, plus IonQ's move into vertical integration with its SkyWater acquisition.

QumulusAI CEO Michael Maniscalco joins Six Five following the company’s NASDAQ debut to explain why traditional gigawatt-scale infrastructure cannot keep pace with AI demand and how a portfolio of smaller, faster-to-deploy compute pockets could reshape enterprise infrastructure strategy.

OpenAI files for a trillion-dollar IPO the same week a pre-release model breaches Hugging Face and 42 state attorneys general open a coordinated investigation. Patrick Moorhead and Daniel Newman also break down AMD's hyperscaler CPU numbers from Advancing AI, the Moonshot distillation accusations, a wave of coordinated AI governance moves in Washington, and a stacked earnings slate spanning TSMC, Alphabet, IBM, ServiceNow, and Intel.

Enterprises are rethinking creative workflows as AI reshapes how content gets produced, governed, and measured. Elliot Sedegah, Director of B2B Product Marketing and Strategy at Adobe, joins Keith Kirkpatrick of Futurum to unpack what separates organizations capturing measurable ROI from generative AI from those still stuck in fragmented experimentation.

Ryan Shrout and Mitch Lewis of Signal65 walk through their independent validation of the Lenovo xIQ platform and Lenovo Super Agent for Retail with Paige Grady, Director of AI Solutions at Lenovo SSG. The conversation covers what stalls retail AI at the pilot stage, how full-stack integration addresses the operational challenges that custom builds cannot, and what Signal65 found across deployment time, agent accuracy improvement, and lifecycle management in testing.

Mainframe security carries a persistent myth: that the platform is secure by default. Philip Young, Director of Mainframe Penetration Testing at NetSPI, joins Daniel Newman and Greg Lotko on The Main Scoop to explain why integration layers, not the mainframe core, tend to introduce the most risk, and what enterprise leaders need to challenge about their own assumptions on trust.

Tae-won (Tony) Chey, Chairman of SK Group, joins Daniel Newman at Nasdaq in New York following SK hynix’s ADR listing to trace the strategic decisions, from the 2012 Hynix Semiconductor Inc. acquisition to the 2019 push into AI, that positioned SK Group at the center of today's AI memory market.

Patrick Moorhead and Daniel Newman unpack OpenAI's reported equity offer to the U.S. government, Anthropic's phased return following export controls, and why AWS and Microsoft are betting billions on the engineers who deploy AI rather than the labs that train it. They also dig into NVIDIA's response to its roadmap critics, Meta's expanding cloud ambitions, and the week's biggest market developments, from SpaceX to Samsung. Catch the full analysis on Episode 311 of The Six Five Pod.

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A 2.7x reduction in cost per token and a ruggedized edge device capable of running 80 billion parameter models are reshaping how enterprises think about AI infrastructure economics. Justin McGarry, VP and GM of Compute and AI Infrastructure Software at HPE, and Justin Christiansen, GM and HPE Global Sales Director at Intel, join Six Five at HPE Discover 2026 to break down how virtualization savings, workload-specific CPU and GPU architecture, and component supply pressure are shaping enterprise AI decisions right now.

On Episode 310 of The Six Five Pod, Patrick Moorhead and Daniel Newman unpack the biggest stories from the week, including insights from Qualcomm Investor Day 2026, OpenAI and Broadcom's Jalapeño AI chip, Anthropic's Micron partnership, SpaceX's massive Reflection AI compute deal, Sakana AI's new Fugu orchestrator, and why memory is emerging as a critical layer of AI infrastructure. Plus, Bulls & Bears covers NVIDIA's $25B bond offering, Apple's MacBook price increases, Micron's record quarter, and Cerebras' first earnings as a public company.

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As organizations race to operationalize AI, quantum computing, intelligent systems, and next-generation infrastructure are already converging to redefine what becomes possible by 2030. Kirk Bresniker, HPE Fellow, Vice President, and Chief Architect at HPE, joins Six Five at HPE Discover 2026 to examine how research, ecosystem collaboration, and hybrid computing architectures are unlocking the breakthroughs enterprises will need to compete over the next decade.

Enterprises are managing infrastructure modernization, AI adoption, security resilience, and cost pressure at the same time, and changes across the VMware ecosystem are forcing virtualization decisions onto a timeline organizations did not choose. Dante Orsini, CRO, and Justin Giardina, CTO at 11:11 Systems, join Six Five at HPE Discover 2026 to examine how enterprises can simplify cloud strategy and strengthen cyber resilience without sacrificing flexibility or control.

Hybrid cloud, networking, and AI are converging into a single set of architectural decisions for enterprise IT, and separating the signals that matter from the noise requires analysts tracking the market in real time. David Nicholson convenes a Six Five analyst roundtable with Tom Hollingsworth, Fernando Montenegro, and Alastair Cooke at HPE Discover 2026 to break down the trends shaping the next era of enterprise technology.

Scaling AI from pilot to production exposes infrastructure readiness, operational complexity, and governance gaps that most enterprises underestimate until deployments are already live. Lakshmanan A V, VP and Global Practice Head, Cloud Infrastructure and Security Services at Wipro, joins Matt Kimball and David Nicholson at HPE Discover 2026 to examine how organizations are building scalable AI foundations through hybrid cloud strategy, operational transformation, and the HPE and Wipro collaboration that connects AI-ready platforms to the operational capabilities required to deliver long-term business value.

Patrick Moorhead and Daniel Newman return from a packed week of travel, covering HPE Discover 2026 and Pure Accelerate hosted by Everpure. They break down the government-forced shutdown of Anthropic's Mythos 5, the Apple-Intel foundry signal, the xAI-Cursor acquisition, and whether enterprise AI spending is actually contracting or simply concentrating. Episode 309 of The Six Five Pod covers the week’s events, market moves, and the structural questions that follow.

As AI moves from experimentation to production, networking is becoming a strategic foundation for enterprise transformation rather than a background infrastructure consideration. Kevin Hutchins, SVP of Strategy and Corporate Development for HPE Networking, joins Six Five at HPE Discover 2026 to examine how the HPE and Juniper combination has evolved over the past year, what self-driving networking means in operational practice, and what enterprise leaders should prioritize to prepare for the next generation of network architecture.

As enterprises move agentic AI from experimentation into operational deployment, leaders are confronting new questions around governance, token economics, and measurable business value. Dan Waibel, Global Chief Data and AI Officer at HPE, joins Six Five at HPE Discover 2026 to examine the practical priorities organizations need to address to scale AI responsibly while maximizing return on investment.

As hybrid work environments continue to evolve, organizations are under pressure to deliver collaboration experiences that feel seamless, secure, and intelligent across devices, meeting spaces, and platforms. Carles Farre, Division President of Collaboration Communications Solutions at HP, joins Six Five at InfoComm 2026 to examine the shift from disconnected collaboration tools to unified, AI-driven workplace experiences, and what IT leaders should prioritize to simplify operations while improving employee experience and measurable business outcomes.

Enterprise infrastructure teams are managing an expanding mix of AI, edge, and traditional business workloads while controlling cost, risk, and operational complexity. Krista Satterthwaite, SVP and GM of Mainstream Compute at HPE, joins Six Five at HPE Discover 2026 to examine how agentic AI and distributed environments are reshaping enterprise IT strategy, and where technology leaders should focus first to build a foundation for what's next.

Enterprise AI deployments are evolving from isolated projects into end-to-end operational platforms, and the convergence of AI infrastructure, networking, and open architectures is at the center of that shift. Trish Damkroger, SVP and Chief Product Officer for HPC and AI at HPE, and Praveen Jain, SVP and GM of Data Center at HPE, join Six Five at HPE Discover 2026 to examine how sovereign AI, networking, and infrastructure decisions are converging to shape the next phase of enterprise AI adoption.

 Organizations are looking for faster, more flexible ways to scale AI and cloud infrastructure while balancing performance, cost, and operational complexity. Phil Mottram, EVP and Chief Sales Officer at HPE, and Nathan Goulding, SVP of Engineering at Vultr, join Six Five at HPE Discover 2026 to examine how the HPE and Vultr partnership is helping enterprises accelerate AI adoption and cloud transformation through technology innovation and infrastructure built for next-generation cloud customers.

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As enterprises move from AI experimentation toward large-scale deployment, production economics and operational efficiency are becoming the deciding factors in whether AI initiatives reach scale. Fidelma Russo, EVP and GM at HPE, and Hasmukh Ranjan, SVP and CIO at AMD, join Patrick Moorhead and Daniel Newman at HPE Discover 2026 to examine what it takes to build the foundation for the agentic enterprise, from compute and memory engineering to leveraging existing datacenter investments.

Antonio Neri's HPE Discover 2026 keynote repositioned networking as the platform AI performance depends on, not infrastructure support underneath it, while sovereign AI, governance, and customer proof points emerged as the connective tissue behind the agentic enterprise. Daniel Newman and Patrick Moorhead break down the keynote's biggest themes and what enterprise leaders should actually prioritize, fresh off Newman's conversation with Neri.

As organizations move beyond AI experimentation into large-scale deployment, new demands on infrastructure, networking, operations, and governance are exposing the gap between AI adoption and AI value. Antonio Neri, President and CEO of HPE, joins Six Five at HPE Discover 2026 to examine what it takes to build resilient, intelligent environments capable of supporting the agentic enterprise and turning AI investment into measurable business outcomes.

As customer expectations continue to shift, modern brand strategy increasingly depends on connecting brand, customer experience, data, and technology into a single discipline. Jennifer Temple, EVP and Chief Marketing and Communications Officer at HPE, Patrick Moorhead and Daniel Newman at HPE Discover 2026 to examine how the CMO role has evolved, what consumer behavior shift marketers need to watch most closely, and what will separate brands building durable customer relationships from everyone else.

As AI deployments move from experimentation into production, networking is emerging as the factor that determines performance, scalability, and operational success at scale. Rami Rahim, EVP, President and GM of Networking at HPE, joins Daniel Newman at HPE Discover 2026 to examine how enterprises are rethinking network architecture, automation, and operations to build the foundation AI infrastructure actually depends on.

Distribution has moved well past fulfillment, and Eric Kohl, VP of Global Vendor Engagement at Ingram Micro, makes the case that complexity itself has become the distributor's value proposition. Kohl joins Six Five at HPE Discover 2026 to break down how Ingram Micro is helping channel partners build credible practices across networking, security, and AI, and why identity is the next adjacency partners cannot afford to ignore.

Enterprise infrastructure decisions around hybrid, edge, and sovereign cloud are no longer modernization exercises. They are long-term architectural commitments being shaped by AI adoption, data residency requirements, and governance mandates that cloud-only strategies cannot satisfy. Meena Gowdar and Justin Slane from Microsoft join Six Five at HPE Discover 2026 to examine how the Microsoft and HPE partnership is helping enterprises extend cloud capabilities, address sovereignty requirements, and modernize mission-critical workloads on a foundation built for what comes next.

Patrick Moorhead and Daniel Newman cover Tim Cook's final WWDC as CEO and Apple's Gemini-powered Siri strategy, the $35 billion Apollo and Blackstone deal backing Anthropic's capacity expansion, Intel's packaging wins with Google and NVIDIA, SpaceX's IPO at a $1.77 trillion valuation, Anthropic's Claude Fable 5 and Mythos 5 launch across every major cloud, and earnings reactions from Oracle, Micron, and Adobe.

The enterprise data bottleneck in the agentic AI era is not storage capacity. It is making the data that matters visible and accessible to AI models at the moment of decision. In this Six Five Virtual Webcast, Snowflake CEO Sridhar Ramaswamy joins Patrick Moorhead and Daniel Newman to examine how coding agents are becoming the foundational infrastructure of the agentic enterprise, why architectural flexibility across models, formats, and cloud providers is a competitive requirement, and what enterprise data leaders must prioritize to build a compounding advantage in the next 12 months.

Nobody predicted that agents would be the thing that brought CPUs back to the center of the infrastructure conversation. Patrick Moorhead and Daniel Newman sit down with Mark Russinovich and Arun Kishan from Microsoft Azure to break down Cobalt 200, Azure's open-source infrastructure strategy, and what the next phase of enterprise cloud compute actually looks like.

Cleveland Clinic, IBM, and RIKEN completed the first large-scale quantum simulation of a protein-ligand complex in explicit water, scaling across 10,000 to 13,000 atoms using an atom-by-atom embedded wave function framework. Dr. Kenneth Merz, Principal Investigator at Cleveland Clinic Research, outlines how this milestone connects to free energy calculations, lead optimization in drug discovery, and the hybrid quantum-classical architecture that defines quantum's role in biomedical research today.

AI inference performance depends on storage architecture more than most enterprise infrastructure teams have accounted for. Analyst Ryan Shrout and Avi Shetty, VP of AI Ecosystem and Market Enablement at Solidigm, breaks down why growing context windows force GPU recompute when storage is under-provisioned, how the three-tier inference storage architecture addresses that constraint, and why Jensen Huang's projection that the context memory tier will consume the entire TAM of storage signals the scale of infrastructure commitment enterprises need to be planning for now.

Microsoft Build 2026 announced an end-to-end agentic AI stack. COMPUTEX Taipei confirmed heterogeneous AI infrastructure across ARM, Marvell, Intel, Qualcomm, and NVIDIA. Alphabet raised $80 billion. Cisco Live repositioned the network as the AI platform. Patrick Moorhead and Daniel Newman break it all down alongside earnings from Broadcom, HPE, Palo Alto Networks, and CrowdStrike, plus the token cost conversation, the edge AI push, and what Palantir and Oracle are saying about proprietary data as the real AI moat.

MiTAC Computing is addressing the core constraints of enterprise AI scaling: floor space, power capacity, and cooling efficiency. Matt Kimball catches up with Raymond Huang at Computex 2026 to walk through a full portfolio spanning high-density liquid-cooled racks, diamond-cooled air servers, unified POD management, and containerized modular AI factories that cut deployment timelines from years to weeks.

Corsair is extending its high-performance computing expertise into AI workstations and server infrastructure, targeting enterprises that need local AI compute for security, data sovereignty, and cost efficiency. Anshel Sag catches up with Matthew Hsu, SVP & GM at Corsair, at COMPUTEX Taipei 2026 to examine how the company is addressing the full AI lifecycle from inference to model training and deployment.

The challenge for enterprise AI is no longer proving its potential. It is operationalizing AI securely, efficiently, and at scale. In this Six Five On The Road conversation at Dell Technologies World 2026, Varun Chhabra, SVP ISG Marketing at Dell Technologies, and Jason Schroedl, Director of Product Marketing for Enterprise Platforms at NVIDIA, join Patrick Moorhead and Daniel Newman to examine the Dell AI Factory evolution, what agentic AI deployment demands from governance and infrastructure, how data readiness determines production AI performance, and what enterprise leaders must prioritize to move from pilots into meaningful business outcomes.

As enterprises scale AI into production, the variable that determines whether AI delivers measurable ROI is increasingly the data layer. In this Six Five On The Road conversation at Dell Technologies World 2026, Ihab Tarazi, ISG CTO at Dell Technologies, and Jason Hardy, VP of Storage Technology at NVIDIA, join Patrick Moorhead and Daniel Newman to examine how the token economy is reshaping enterprise AI infrastructure strategy, what the Dell AI Data Platform and Exascale Storage announcements change about production AI architecture, and why co-engineering between Dell and NVIDIA produces outcomes that standard integration partnerships cannot match.

Patrick Moorhead and Daniel Newman cover Daniel's acquisition of Enterprise Technology Research, IBM's historic $15 billion single-day commitment spanning quantum and open-source security, Anthropic's Claude Opus 4.8, and the heaviest single earnings night of the season featuring Dell, Marvell, Salesforce, Synopsys, Snowflake, HP, and Micron crossing $1 trillion in market cap.

AI is restructuring how enterprise buyers discover, evaluate, and engage with technology providers, compressing timelines and shifting the discovery layer before any human conversation begins. Gerri Tunnell, CMO at Dell Technologies, joins Six Five at Dell Technologies World 2026 to examine how organizations must rethink speed, discoverability, and trust as AI becomes embedded in both the buying process and the customer experience itself.

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Industrial AI is crossing the line from deterministic automation into systems that can see, think, act, and learn. Honeywell CTO Suresh Venkatarayalu, who studied neural networks 31 years ago when he joined the company, calls it a physical AI transformation, and at Dell Technologies World 2026, he joined Sam Grocott, SVP of Product Marketing and AI Product Management at Dell Technologies, to break down what Honeywell Forge chapter two looks like, why the Dell AI Factory with NVIDIA was the right infrastructure foundation for scaling AI across 50 to 60 million industrial and commercial assets, and what the shift from AI pilot to enterprise-scale deployment actually requires.

Layering AI onto legacy service architecture produces incremental improvements on a model that was not designed for autonomous resolution at scale. In this Six Five On The Road conversation at Zendesk Relate 2026, Vishnu Parimi, VP of Product at Zendesk, joins Keith Kirkpatrick and Melody Brue to examine what AI-native service operations actually require: unified resolution systems, specialized agents built for domain-specific workflows, and governance embedded into the architecture from the start rather than retrofitted after deployment.

Accenture and ServiceNow launched the Forward Deployed Engineering program at Knowledge 2026 to address the delivery gap that keeps 88% of enterprise AI initiatives from reaching scale production. David Kanter, Senior Managing Director and Global Head of the ServiceNow Business Alliance at Accenture, and Miku Jha, GVP of Applied AI and Forward Deployed Engineering at ServiceNow, outline how embedding co-engineering teams inside customer environments from day one, backed by 300+ agentic AI workflows and a governance-first architecture, changes what enterprise AI deployment actually produces.

Ryan Shrout and Mitch Lewis of Signal65 walk through their independent validation of the Lenovo Knowledge Superagent with Sarah Lundgren, Director of Technical Enablement for Hybrid Cloud and AI at Lenovo. The conversation covers why agentic AI addresses knowledge management failures that wikis and enterprise search could not, how Lenovo deployed the platform internally to drive organic adoption, and what Signal65 measured: 30% reduction in retrieval time, 81% employee adoption, 120 hours saved per employee annually, and up to $17 million in potential productivity value at scale.