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Six Five Media returns to NVIDIA GTC March 16-19, 2026 in San Jose, CA with on-the-ground analyst coverage, delivering insight into the next wave of AI innovation — from physical AI and AI factories to agentic workflows and inference at scale.
Led by Daniel Newman and Patrick Moorhead, alongside analysts Brendan Burke, Ryan Shrout, and Anshel Sag, Six Five Media will capture exclusive perspectives from C-level executives and industry leaders shaping enterprise AI adoption.
With featured conversations from partners including Lenovo, HPE, MiTAC, Cisco, Solidigm, Samsung, and Everpure (formerly Pure Storage), our coverage connects developers, researchers, and business leaders with the real-world strategies turning AI infrastructure into outcomes.
Fusion’s Future: Accelerating AI-Driven Superconductor Discovery
AI is accelerating breakthroughs in fusion energy and materials science, but infrastructure remains the limiting factor. Lenovo and Quantum Formatics explore how private AI environments and purpose-built systems are enabling the next wave of discovery.
The Six Five Pod | EP 297: AI Control, Compute Power, and the Fight for the Stack
AI is becoming a scale and control business. On Episode 297 of The Six Five Pod, Patrick Moorhead and Daniel Newman examine the companies building the infrastructure, forming the alliances, and making the moves that will define who wins and who gets squeezed out. Control is shifting across compute, models, infrastructure, and enterprise distribution as NVIDIA, Microsoft, OpenAI, Meta, and others push to control the next phase of the AI market.
From AI Momentum to Reality: HPE on Building the AI Factory
AI is moving fast, but most organizations are not ready for what it takes to deploy it at scale. HPE’s Trish Damkroger explains why infrastructure, not models, is now the limiting factor and how the “AI factory” is redefining enterprise execution.
AI Gigafactories: From Design to First Token at Scale
As AI moves from design to deployment, infrastructure constraints are becoming the primary bottleneck. Lenovo and IREN explore how gigafactory-scale systems, vertical integration, and time-to-first-token metrics are redefining AI at scale.
AI Inferencing Everywhere: Scaling Enterprise AI from Core to Edge
As AI moves into production, enterprises must solve for distributed execution across core and edge environments. This conversation explores how infrastructure is evolving to support scalable, real-time AI inferencing.
Rethinking AI Infrastructure: Why Memory Now Drives Performance
As AI workloads scale, memory is emerging as the defining constraint on performance. This conversation explores how innovations in HBM and system integration are reshaping the future of AI infrastructure.
The Inference Inflection: MiTAC on Building Flexible AI Infrastructure for Enterprise Scale
As AI moves into production, infrastructure flexibility, orchestration, and data performance are becoming critical. MiTAC outlines how modular platforms and integrated partnerships are enabling scalable, high-performance AI deployments.
AI Is Writing the Code Now: Cisco’s Vision for the Agent Era - Six Five On The Road
Enterprises are under pressure to move beyond AI pilots and deliver real outcomes. This conversation explores the infrastructure, data, and operational shifts required to scale AI effectively across environments.
Fusion’s Future: Accelerating AI-Driven Superconductor Discovery
AI is accelerating breakthroughs in fusion energy and materials science, but infrastructure remains the limiting factor. Lenovo and Quantum Formatics explore how private AI environments and purpose-built systems are enabling the next wave of discovery.
The Six Five Pod | EP 297: AI Control, Compute Power, and the Fight for the Stack
AI is becoming a scale and control business. On Episode 297 of The Six Five Pod, Patrick Moorhead and Daniel Newman examine the companies building the infrastructure, forming the alliances, and making the moves that will define who wins and who gets squeezed out. Control is shifting across compute, models, infrastructure, and enterprise distribution as NVIDIA, Microsoft, OpenAI, Meta, and others push to control the next phase of the AI market.
From AI Momentum to Reality: HPE on Building the AI Factory
AI is moving fast, but most organizations are not ready for what it takes to deploy it at scale. HPE’s Trish Damkroger explains why infrastructure, not models, is now the limiting factor and how the “AI factory” is redefining enterprise execution.
AI Gigafactories: From Design to First Token at Scale
As AI moves from design to deployment, infrastructure constraints are becoming the primary bottleneck. Lenovo and IREN explore how gigafactory-scale systems, vertical integration, and time-to-first-token metrics are redefining AI at scale.
AI Inferencing Everywhere: Scaling Enterprise AI from Core to Edge
As AI moves into production, enterprises must solve for distributed execution across core and edge environments. This conversation explores how infrastructure is evolving to support scalable, real-time AI inferencing.
Rethinking AI Infrastructure: Why Memory Now Drives Performance
As AI workloads scale, memory is emerging as the defining constraint on performance. This conversation explores how innovations in HBM and system integration are reshaping the future of AI infrastructure.
The Inference Inflection: MiTAC on Building Flexible AI Infrastructure for Enterprise Scale
As AI moves into production, infrastructure flexibility, orchestration, and data performance are becoming critical. MiTAC outlines how modular platforms and integrated partnerships are enabling scalable, high-performance AI deployments.
AI Is Writing the Code Now: Cisco’s Vision for the Agent Era - Six Five On The Road
Enterprises are under pressure to move beyond AI pilots and deliver real outcomes. This conversation explores the infrastructure, data, and operational shifts required to scale AI effectively across environments.