Gensonix AI DB efficiency combined with the power of Meta's Llama 3B model and AMD's Radeon GPU architecture makes LLMs ...

Below are the top five decentralized GPU platforms that AI developers should not ignore in 2026. Akash is a reverse auction ...

Dubbed the Vast CNode-X, the solution has been developed with Nvidia and will bring high-performance storage services to Nvidia GPU clusters, as well as make the OS directly available on the hardware.

Taalas, a Finnish AI company, has reportedly moved away from NVIDIA GPUs in favor of hardwired AI chips, claiming inference speeds of 17,000 tokens per second. The shift coincides with a broader ...

AMD and Meta announce a multi-year partnership to deploy 6 gigawatts of AMD Instinct GPUs, beginning with custom MI450-based hardware in late 2026, news ...

The Fight for the World's Most Critical Technology," says Google's TPU is designed especially for machine learning, while GPUs can take on a wider variety of AI-related tasks.

Meta has agreed to deploy up to 6 gigawatts of AMD Instinct GPUs to build out its AI technology development and models.

TL;DR: NVIDIA will ship its new B30 AI GPU in Q4 2024, offering 10-20% lower performance than the H20 but at 30-40% reduced cost. With eased US export restrictions, NVIDIA expects 400,000 H20 units ...

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 ...

Imagine this: you’re ready to fine-tune your latest AI model, but instead of diving into the creative process, you’re stuck wrestling with GPU configurations, dependency installations, and environment ...

A remarkably efficient way to handle two very different workloads ...