At GTC 2026, Nvidia launched the Vera CPU, a processor built specifically to meet the growing demands of agentic AI. Vera is ...

Nvidia and AMD are seeing huge demand for CPUs and Jensen Huang is poised to unveil details for processors specialized for agentic AI at the GTC conference.

NVIDIA Vera CPU Delivers the Highest Performance and Energy Efficiency for Data Processing, AI Training and Agentic Inference ...

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x token throughput and 4x energy efficiency for agentic AI ...

Early adopters of STX for context memory storage include CoreWeave, Crusoe, IREN, Lambda, Mistral AI, Nebius, Oracle Cloud ...

A new AMD engineering sample processor has surfaced in the Geekbench benchmark database, offering an early glimpse at what may be part of the company’s next-generation Zen 6 mobile processor lineup.

AIStor provides a unified data foundation supporting the NVIDIA STX reference architecture, accelerating training, enterprise RAG, and real-time agentic inference throughout the AI lifecycle ...

Today Quantum Machines launches The Open Acceleration Stack, a first-of-its-kind framework allowing users to integrate any ...

Broadening the data center assault ...

Advanced Micro Devices offers significant upside at current levels; the AI accelerator business presents major optionality.

Nvidia's N1X chips with Arm architecture debut at GTC—20-core gaming laptops using half the power could finally kill x86.

While it's premature to draw any real conclusions (particularly performance), there are some interesting details in the listing.