OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

CAMPBELL, Calif.--(BUSINESS WIRE)--OXMIQ Labs Inc., a unified GPU and AI architecture company founded by Raja Koduri, today closed its $35 million Series A financing, bringing the company’s total ...

Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...

Meanwhile, Electron apps need more RAM than this OS.

A minimal, fully open-source GPU implementation in Verilog — designed for learning how GPUs work from the ground up, all the way from architecture down to control signals. What's different from ...

On standard, cache-miss pricing, DeepSeek-V4-Pro comes in at roughly one-seventh the cost of GPT-5.5 and about one-sixth (1/6th) the cost of Claude Opus 4.7. With cached input, the gap widens: ...

Researchers from Stanford, Nvidia, and Together AI have developed a new technique that can discover new solutions to very complex problems. For example, they managed to optimize a critical GPU kernel ...

NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise. Requires Blackwell GPUs. NVIDIA has released Triton-to-TileIR, a ...

cLean is a domain-specific language (DSL) embedded in Lean 4 for writing, verifying, and executing GPU kernels. It bridges the gap between high-level functional programming and low-level GPU ...

Have you ever imagined running a powerful NVIDIA GPU on a tiny Raspberry Pi? It sounds like a tech enthusiast’s dream, or perhaps a logistical nightmare, but recent breakthroughs have turned this into ...