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Overspending on AI infrastructure by cloud providers has some forecasting an AI bust, but there are signs that enterprises are starting to put AI to work.
New program will provide Gemini AI coding assistance, Project IDX workspaces, and other new tools, training, and community resources for software developers.
Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy.
GPT-in-a-Box is a full-stack platform for running generative AI workloads that integrates Nvidia NIMs and the Hugging Face LLM library.
Balancing performance, energy efficiency, and cost-effectiveness, CPUs adeptly handle the less-intensive inference tasks that make up the lion’s share of AI workloads.
Microsoft is not simply making a big bet on AI in Windows, but betting that natural language and semantic computing are the future of Windows.
Exec Scott Sellers says Java will eventually compete with Python in the AI space, and says removing sun.misc.Unsafe from Java is long overdue.
Using edge systems to run elements of generative AI could be game-changing. It requires planning and skill, but this hybrid approach may be the future.
The schoolyard chaos at OpenAI could detract from corporate adoption of AI. Microsoft may be best suited to restore order and trust.
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