Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and ...

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The future of AI compute is heterogenous, according to Microsoft's GM of Azure Maia Andrew Wall. The implications of this are ...

As AI compute costs rise, Microsoft is seeking to reduce reliance on third-party chips, extending its push from custom ...

Microsoft is steadily broadening Azure's AI platform so developers have both richer building blocks for AI application development and more flexibility in where those applications can run. The effort ...

KubeCon Europe 2026 made AI inference its central focus with major CNCF donations including llm-d, Nvidia's GPU DRA driver ...

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 ...

With their focus on providing accelerated infrastructure for AI workloads, neoclouds are becoming a popular option alongside ...

Azilen launches Inference Engineering practice to optimize AI performance, reduce costs, and scale efficiently across ...

Pure Storage announces 20x faster AI inference through new Key Value Accelerator with NVIDIA integration, expanded VMware migration tools, and enhanced security features as the company positions ...

How to run open-source AI models, comparing four approaches from local setup with Ollama to VPS deployments using Docker for ...