A small Korean fabless startup, Hyper Accel, says its first AI chip — designed for language-model inference in data centers — ...

GPUzilla's $20B acquihire paves to way to AI agents that halucinate faster than ever GTC Nvidia will use Groq's language processing units (LPUs), a technology it paid $20 billion for, to boost the ...

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Driving shift to open-source based Agents with an Open, Inference-First full-Stack AI Platform SAN JOSE, Calif., March 16, 2026 /PRNewswire/ -- Qubrid AI, a leading Open, Inference-First Full-Stack AI ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

Nvidia CEO Jensen Huang sees $1T GPU demand by 2027 as AI inference surges; CUDA ecosystem and cloud partners fuel growth.

The company’s newly announced Groq 3 LPX racks, which pack 256 LP30 language processing units (LPUs) into a single system, show time-to-market was the reason Nvidia bought rather than built. We're ...

Ahead of Nvidia Corp.’s GTC 2026 this week, we reiterate our thesis that the center of gravity in artificial intelligence is ...

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

At DevSparks 2026 in Pune, NVIDIA’s Sunil Patel demonstrated how DGX Spark enables developers to prototype and fine-tune large AI models locally, dramatically reducing infrastructure barriers.

Nvidia CEO Jensen Huang talks up efforts by the AI technology giant to pave the way for self-evolving, multi-agent systems ...