The race to build bigger AI models is giving way to a more urgent contest over where and how those models actually run. Nvidia's multibillion dollar move on Groq has crystallized a shift that has been ...
AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...
Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. As OpenAI, Google, and other tech giants chase ever-larger ...
The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
Chipmakers Nvidia and Groq entered into a non-exclusive tech licensing agreement last week aimed at speeding up and lowering the cost of running pre-trained large language models. Why it matters: Groq ...
Nvidia is aiming to dramatically accelerate and optimize the deployment of generative AI large language models (LLMs) with a new approach to delivering models for rapid inference. At Nvidia GTC today, ...
SUNNYVALE, Calif. & SAN FRANCISCO — Cerebras Systems today announced inference support for gpt-oss-120B, OpenAI’s first open-weight reasoning model, running at record inference speeds of 3,000 tokens ...
SUNNYVALE, Calif.--(BUSINESS WIRE)--Cerebras and Hugging Face today announced a new partnership to bring Cerebras Inference to the Hugging Face platform. HuggingFace has integrated Cerebras into ...
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