… ATI acquisition helped AMD to build its Instinct accelerator lineup for high-performance computing and AI workloads. The Instinct family has become AMD's answer to NVIDIA's data center GPUs and has powered AI training and inference across cloud providers and enterprise servers. …
… NVIDIA is also investing big in made-in-US initiative with the company likely signing a deal with Intel to build its next-gen Feynman GPUs in the US & also prioritizing its Rubin and Blackwell GPUs for US-based AI enterprises and datacenters. …
… The deal was NVIDIA's largest to date at the time and it covered the startup's AI inference technology. According to the Nebius expert, inference is now responsible for between 90% to 95% of the total demand of enterprise workloads. …
… Also, Chinese enterprises are adopting creative workarounds to deal with US export controls. For instance, Alibaba unveiled the XuanTie C950 in March 2026, marketing the chip as a RISC-V-based offering for edge AI. Unlike typical ASICs, the XuanTie C950 does not rely on GPUs for AI workloads. …
… NVIDIA is also investing big in made-in-US initiative with the company likely signing a deal with Intel to build its next-gen Feynman GPUs in the US & also prioritizing its Rubin and Blackwell GPUs for US-based AI enterprises and datacenters. …
… With GDDR, the primary issues Micron could face are maintaining thermal and signal integrity if it sticks to wire bonding. …
… What's more, the company has already contracted $6.7 billion of cloud deals in the first weeks of Q3, and intends to continue renting out its compute capacity, especially as just 10 percent of SpaceXAI's compute goes to train newer iterations of the Grok AI model, with the rest either reserved for … …
… Related Story Microsoft’s Brings The “NVIDIA Power” To Devs With Passive-Cooled Surface RTX Spark Dev Box, Coming Later This Year With 128 GB Memory Unlike the Data Center segment, which has two sub-markets: Hyperscale and ACIE AI Clouds, Industrial and Enterprise , the Edge Computing segment is a … …
… It will also be available on the NVIDIA GitHub page. These announcements show that NVIDIA wants to accelerate AI not just for enterprises but for mainstream audiences too. …
… What it is — NVIDIA’s first custom CPU, designed for agentic AI What it handles — Orchestration, tool-calling, RL workloads, data analytics, agent sandboxing, long-context state management Who it’s for — AI labs, cloud providers, and enterprises running agentic AI at scale Core specs — 88 custom Ol… …