Nvidia, Cerebras, and AMD could all be inference winners.

AMD is acquiring Taalas, a Toronto startup that revolutionizes AI inference by etching model weights directly into silicon.

The companies attributed this speed to a deep software-hardware co-development process that actively used OpenAI’s own models to accelerate parts of the chip design.

Sonic Inference Pods ship ready to deploy and are live today across the United States and Europe. Each pod joins a ...

First large-scale inference cluster with Together AI on IBM Cloud using NVIDIA HGX B300 systems to help enterprises run AI workloads, designed for fast and efficient production. IBM and Together AI ...

OpenAI's inference residency now covers the UAE, letting eligible API, ChatGPT Enterprise and Edu customers run model inference on GPUs inside the country.

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

Model inversion and membership inference attacks create unique risks to organizations that are allowing artificial intelligences to be trained using their data. Companies may wish to begin to evaluate ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Stop thinking of the edge as a remote extension of the cloud and start treating it as a ...

You picked the open-source models. Now comes the hard part: production. Compare DIY inference, managed APIs, and SIE for ...

AMD acquires Toronto startup Taalas to hardwire AI models directly into silicon logic, bypassing HBM memory bandwidth and power bottlenecks for AI inference.