Google plans an AlphaEvolve rollout through Google Cloud after showing gains in TPU design, Spanner efficiency, genomics, ...

Advances in AI are enabling systems to help create future versions of themselves, with companies like OpenAI, Anthropic, and Google DeepMind deploying models to write code and optimize designs. While ...

Enabling on-device inference with up to 2 billion (2B) parameters, accelerating expansion into ultra-low-power edge AI ...

A growing list of Chinese firms - from Huawei to Cambricon - moves fast to integrate DeepSeek's latest AI model across ...

Zyphra announced Zyphra Cloud, a full-stack AI platform on AMD powered by Tensorwave. The platform launches with Zyphra Inference, a serverless inference service for frontier open-weight models ...

Do you have a favorite apologetics argument Students often ask me this, and my answer is always an unhesitating Yes ...

If you spend any time on crypto YouTube right now, you will see the exact same tutorial. "How to use Claude to write a Solana ...

I/ONX High Performance Compute (HPC), a leading provider of heterogeneous AI systems, today announced the appointment of Steven Eliuk as Chief Executive Officer. Eliuk joins I/ONX to lead the ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. KubeCon + CloudNativeCon Europe 2026 in Amsterdam made one thing clear. Kubernetes is no ...

Nvidia is not just a leader in training, but also in AI inference. AMD has carved out a nice niche in inference, and also has a nice agentic AI opportunity with its CPUs. Broadcom is set to benefit ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x ...