Nvidia's $20B Groq deal and Groq 3 LPU debut at GTC 2026 signal a shift from GPU-only inference to heterogeneous AI computing ...

The Arc Pro B70 comes with 32GB or RAM, enabling smaller AI models to run locally. It compares favorably with products from ...

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage ...

Powering the AI Grid across data center and edge sites with QCT Application-Ready Solutions Our innovations with NVIDIA ...

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 ...

AI labs and frontier model developers including Anthropic, Meta, Mistral AI and OpenAI are looking to use the NVIDIA Vera ...

Africa’s first NVIDIA RTX PRO GPU servers have landedIssued by HOSTAFRICAJohannesburg, 16 Mar 2026 Africa’s first NVIDIA RTX PRO GPU servers have landed. For years, African developers, researchers, ...

I'm using SDL and CEF to build a web browser with Dolphin Smalltalk, and have observed a leak of dedicated GPU memory when using the SDL_Renderer to render a shared GPU texture. There's two system ...

Even the fastest GPU can stall if it runs out of memory. CAD, BIM visualisation, and AI workflows often demand more than you think, and it all adds up when multi-tasking, writes Greg Corke When people ...

GPU memory (VRAM) is the critical limiting factor that determines which AI models you can run, not GPU performance. Total VRAM requirements are typically 1.2-1.5x the model size due to weights, KV ...

The intensifying memory shortage already has its winners. SK Hynix has raised its prices by as much as 70% compared to the final quarter of 2025. Micron has moved away from the consumer sector to ...