GTC 2026
The biggest developer artificial intelligence conference, GTC, takes place in San Jose, California, from March 16 to March 19, 2026.
3DTested will be on the ground, attending keynotes, important conferences, and reporting on some of the latest upcoming AI technology from the show.
This year promises to be another exciting event, starting with a keynote with Nvidia CEO Jensen Huang.
▪️Nvidia Keynote - Monday, March 16, 2026, at 11:00 a.m. PT
Latest about GTC

Nvidia reportedly building its own AI agent to compete with OpenClaw, report claims
By Jowi Morales published
NemoClaw could potentially give AI tools more independence and do more things without direct human supervision in the corporate setting.

Nvidia's N1/N1X SoCs tipped for release in first half of 2026, debuting on Dell & Lenovo laptops
By Hassam Nasir published
N1 silicon is finally right around the corner.

Fake Nvidia GTC stream hosting deepfake Jensen Huang crypto scam garners 100,000 YouTube viewers, 5x more than real event
By Stephen Warwick published
A terrible time all round

Nvidia calms fears and hypes Europe's impending AI future
By Jon Martindale published
News Analysis Everything Nvidia announced at the GTC Paris keynote at VivaTech

Nvidia Blackwell RTX Pro with up to 96GB of VRAM — even more demand for the limited supply of GPUs
By Jarred Walton published
GB202, GB203, and GB205 are coming to professional and data center GPUs. (Updated with full specs.)

Nvidia RTX Pro 6000 up close: Blackwell RTX Workstation, Max-Q Workstation, and Server variants shown
By Jarred Walton published
300W to 600W GPU, depending on the model.

Nvidia announces Rubin GPUs in 2026, Rubin Ultra in 2027, Feynman also added to roadmap
By Jarred Walton published
NVL144 and NVL576 configurations coming down the pipe.

Nvidia announces Blackwell Ultra B300 —1.5X faster than B200 with 288GB HBM3e and 15 PFLOPS dense FP4
By Jarred Walton published
Nvidia officially revealed its Blackwell Ultra B300 data center GPU, which packs up to 288GB of HBM3e memory and offers 1.5X the compute potential of the existing B200 solution.
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