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AI factories must support increasingly large models and more complex reasoning workloads. To keep up with the insatiable compute demands of AI workloads,...
Read at NVIDIA Technical Blog (opens in a new tab)
Prompt Claude, ChatGPT, Gemini, or any other popular large language model with a question like “What is the best film ever made?” and the response will vary. And you (and most worryingly, the people who built the LLM) have little idea exactly how it came up with that specific an…
Read at IEEE Spectrum (opens in a new tab)ChatGPT for Teachers is expanding to 55 U.S. school systems, bringing secure AI tools, training, and support to over 100,000 more educators and staff.
Read at OpenAI (opens in a new tab)
The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
Read at MIT News (opens in a new tab)OpenAI shares findings from the Hugging Face security incident and the steps we’re taking to strengthen AI model security, monitoring, and alignment.
Read at OpenAI (opens in a new tab)Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.
Read at OpenAI (opens in a new tab)
When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,...
Read at NVIDIA Technical Blog (opens in a new tab)OpenAI CFO Sarah Friar explains how advances across chips, compute, models, and products compound to deliver more useful intelligence at greater scale and lower cost.
Read at OpenAI (opens in a new tab)Jalapeño is a custom inference chip from OpenAI that delivers faster, more power-efficient AI inference, with higher throughput and lower latency for modern models.
Read at OpenAI (opens in a new tab)
The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,...
Read at NVIDIA Technical Blog (opens in a new tab)A practical plan for an AI-assisted service, including a clearly hypothetical project budget, delivery checklist and ways to test customer demand.
A repeatable evaluation worksheet for usefulness, error rates, review effort, privacy and total cost, with a comparison against your existing workflow.
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