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

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 ...

These tech stocks look particularly well positioned to benefit from this opportunity.

The big four cloud giants are turning to Nvidia's Dynamo to boost inference performance, with the chip designer's new Kubernetes-based API helping to further ease complex orchestration. According to a ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

Likewise, a global audit, tax, and professional services firm is leveraging Hyperscience to orchestrate complex tax and invoice workflows, combining Hypercell models with Google G ...

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has been shown time and again by AI upstarts ...

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