March 16–21, 2026 · SAP Center & Convention Center, San Jose, CA

GTC 2026

Nvidia GPU Technology Conference — "The Age of AI"

The world's most influential AI conference returns to Silicon Valley. Over 30,000 in-person attendees and hundreds of thousands of virtual participants turn to GTC for the biggest hardware, software, and partnership announcements defining the next era of artificial intelligence.

30,000+

In-Person

100s of K

Virtual

Mar 16

Jensen Keynote

900+

Sessions

🟢 Official Site — nvidia.com/gtc📍 SAP Center, San Jose, CA

Event Details

Dates
March 16–21, 2026
Keynote
Mon, March 16 — 11:00 AM PT
SAP Center, San Jose
Location
SAP Center & San Jose
Convention Center, CA
Host
Nvidia Corporation
Theme
"The Age of AI"

What Is GTC?

The GPU Technology Conference is Nvidia's annual flagship event and, over the last five years, has evolved from a graphics-focused developer conference into the definitive "World's Fair" for Artificial Intelligence. Every major player in AI infrastructure — chipmakers, cloud providers, software companies, and enterprise buyers — treats GTC as the calendar event where the industry's next year is defined.

GTC 2026 is expected to be the largest edition ever, with over 30,000 in-person attendees in San Jose and hundreds of thousands joining virtually. The event's scale and the weight of expected announcements have drawn comparisons to the original Apple Macintosh reveals and Intel Developer Forums at their peak — moments when a single week reshaped an entire industry's trajectory.

🤖

AI Hardware

Next-generation GPU and inference chip platforms, including the Vera Rubin architecture and the rumored Feynman chip

🔗

Partnerships

The Intel-Nvidia "frenemy" alliance goes public with NVLink x86 CPUs, foundry discussions, and consumer SOC chiplets

🧠

Agentic AI

Autonomous AI systems that execute complex workflows — not just answer questions — take center stage at GTC 2026

⚙️

Software & Frameworks

OpenClaw, CUDA extensions, and new inference optimization tools for the post-Blackwell era

Keynote

Jensen Huang's Opening Keynote — March 16, 11:00 AM PT

Nvidia founder and CEO Jensen Huang will deliver the opening keynote from the SAP Center — San Jose's 18,000-seat arena — on Monday, March 16 at 11:00 AM PT. The venue choice alone signals the scale of ambition: Huang has previously used the arena format to turn product announcements into theatrical events that drive global media coverage and stock market movements simultaneously.

Huang has teased the keynote with characteristic dramatic framing, hinting at innovations that will "surprise the world." Analysts and industry insiders have spent weeks parsing his public statements and supply chain signals to reconstruct what is likely to be unveiled. The two headline items generating the most anticipation are the Vera Rubin VR200 NVL72 GPU platform and a mysterious new silicon architecture referred to internally as "Feynman."

The keynote will also address Agentic AI and its implications for enterprise software — a theme Huang has been developing in public forums throughout early 2026, arguing that AI agents increase rather than displace the value of platforms like ServiceNow, SAP, and Oracle.

Keynote At a Glance

Speaker
Jensen Huang, Founder & CEO
Date
Monday, March 16, 2026
Time
11:00 AM PT
Venue
SAP Center, San Jose
Expected Topics
Vera Rubin · Feynman · Agentic AI · Intel Alliance
Available
Live stream via nvidia.com/gtc

What to Expect: Key Announcements

Based on Nvidia's public statements, supply chain analysis, and analyst briefings, here are the major announcements expected at GTC 2026.

GPU Platform

Vera Rubin — VR200 NVL72

The official launch of the VR200 NVL72 GPU platform — the next architecture after Blackwell — is the most anticipated hardware announcement of GTC 2026. Named after pioneering astronomer Vera Rubin, the platform is expected to deliver a 3.3x inference performance boost over the previous Blackwell generation and slash per-token costs by up to 90%.

The 72-chip NVLink rack configuration (NVL72) builds on the NVL36 Blackwell cluster architecture, scaling the interconnect fabric to support larger model inference in a single rack footprint. The Groq LPU licensing deal is expected to play a role in how inference is handled within the Vera Rubin ecosystem.

  • 3.3x inference performance vs. Blackwell
  • • Up to 90% reduction in token costs
  • NVL72 rack: 72-chip NVLink configuration

Mystery Architecture

The "Feynman" Chip

Huang's promise to "surprise the world" has focused analyst attention on a rumored architecture codenamed "Feynman" — a chip that, if the supply chain signals are accurate, would represent the most fundamental architectural departure in Nvidia's history.

Feynman is speculated to leverage silicon photonics — transmitting data using light rather than electrons — built on a 1.6nm process node. If confirmed, this would place Nvidia beyond the 2nm frontier where both Intel's 18A and TSMC's N2 currently operate, and would dramatically reduce memory bandwidth bottlenecks that currently limit large model inference.

  • Silicon photonics — data via light, not electrons
  • • Rumored 1.6nm process node
  • • Could revolutionize memory bandwidth for LLM inference

Software Platform

Agentic AI & OpenClaw

Alongside hardware, GTC 2026 is positioning itself as the defining event for Agentic AI — autonomous systems that don't simply answer questions but execute complex, multi-step workflows across tools, databases, and external systems independently.

A major focus will be OpenClaw, an open-source project for building and deploying persistent AI agents — systems that maintain state and memory across sessions rather than resetting with each query. Jensen Huang has been explicit that he sees agentic AI as the next $10 trillion layer of the software stack — above and alongside existing enterprise platforms.

  • OpenClaw — open-source persistent AI agent framework
  • • Focus on multi-step autonomous workflow execution
  • • New CUDA extensions for agentic workload optimization

Strategic Partnership

Intel × Nvidia: The Frenemy Alliance

The most surprising development heading into GTC 2026 is the confirmed presence of Intel as a strategic partner — once Nvidia's primary CPU rival, now a collaborator following their landmark September 2025 agreement in which Nvidia invested $5 billion in Intel stock.

Intel is showcasing new x86 CPUs with native NVLink support — a fundamental architectural integration that allows unprecedented data throughput between Intel processors and Nvidia GPUs, eliminating PCIe bandwidth as a bottleneck in AI training and inference systems. The partnership also includes the first glimpse at Intel x86 SOCs integrating Nvidia RTX GPU chiplets, targeting thin-and-light laptops with professional AI inference capability.

Analysts are also watching for any confirmation that Intel's 18A foundry process will manufacture future Nvidia chips — which would be the most significant Intel Foundry customer win since the company restructured its foundry business.

  • $5B Nvidia investment in Intel (Sept 2025)
  • • Intel x86 CPUs with native NVLink support
  • • Intel x86 + Nvidia RTX chiplet SOCs for laptops
  • • Potential Intel 18A foundry confirmation for Nvidia chips

The "Five-Layer Cake" of AI Infrastructure

Industry analysts have framed the Intel-Nvidia overlap as a "Five-Layer Cake" — five distinct AI infrastructure layers where the two companies now both operate and, in some cases, collaborate.

1

Process & Fabrication

Intel 18A foundry as a potential manufacturer of future Nvidia networking and secondary chips. The most consequential — and least confirmed — layer of the partnership.

Intel 18A high-volume manufacturing →
2

CPU + GPU Integration

Intel x86 CPUs with native NVLink support, enabling direct high-bandwidth CPU-GPU data paths that eliminate the PCIe bottleneck in AI servers and workstations.

Intel coverage →
3

Consumer SOC Chiplets

Intel x86 cores fused with Nvidia RTX GPU chiplets on a single SoC substrate — targeting mainstream laptops with AI inference performance previously exclusive to discrete GPU workstations.

Intel coverage →
4

Inference Platform

The Vera Rubin NVL72 and the Groq LPU-integrated inference stack, where Intel CPUs serve as host processors orchestrating Nvidia's inference accelerator racks.

Nvidia Groq inference platform →
5

Agentic Software Stack

OpenClaw and Nvidia's agentic AI frameworks running on Intel-powered edge and enterprise hardware — extending the partnership from data center silicon to distributed software.

Jensen Huang on agentic AI →