The cubicals of the agentic AI age are cores GTC Intel and AMD take notice. At GTC on Monday, Nvidia unveiled its latest liquid-cooled rack systems. But unlike its NVL72 racks, this one isn't powered by GPUs or even Groq LPUs,

Nvidia on Monday unveiled its new Groq 3 processor and its effort to take on Intel in the CPU space during the chipmaker's GTC event.

Broadening the data center assault

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 plans to use Intel’s Xeon 6 chips as the host CPU for the AI infrastructure giant’s upcoming DGX Rubin NVL8 systems as it makes a bigger push into the CPU market.

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

Supermicro's NVIDIA Vera Rubin NVL72 and HGX Rubin NVL8 systems are built on the DCBBS liquid-cooling stack, targeting up to 10x throughput per watt and one-tenth the token cost, compared to NVIDIA Blackwell solutions.

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 workloads.

Nvidia CEO Jensen Huang on Monday elaborated on his vision for keeping his company at the forefront of the artificial intelligence boom that he predicted will produce a $1 trillion backlog in orders within the next year.

CRN explains how Nvidia has expanded its AI dominance to networking as it plans to make a bigger push with CPUs and evolve its approach to accelerated computing with the recent Groq deal.