9 results for “custom silicon”
NVIDIA unveiled NVLink Fusion, letting hyperscalers plug custom XPUs into its 72‑XPU NVLink domain and MGX rack architecture. The program cuts non‑differentiated engineering so silicon teams can ship custom accelerators faster while reusing proven power, cooling, and cluster software.
Anthropic confirmed on August 5 that it is hiring an in-house semiconductor team to design custom chips for its Claude AI models, co-designing hardware. Anthropic confirmed on August 5 that it is hiring an in-house semiconductor team.
OpenAI published measured Jalapeño inference results (1.5–1.9× performance per watt on InferenceX) and, in a companion full-stack strategy post, detailed how chips, partners, data centers, and serving software compound to lower the cost of useful intelligence.
d-Matrix will connect its Raptor XPUs to NVIDIA's AI platform using NVLink Fusion. This gives the inference chipmaker a validated rack-scale path without building infrastructure from scratch.
NVIDIA launched NVLink Fusion with NVHBM on August 26, 2026, giving hyperscalers a standardized path to deploy custom XPUs alongside NVIDIA GPUs. The co-designed memory and interconnect stack promises 30% higher bandwidth, 25% more compute area, and 15% lower HBM power versus standard HBM4e.
NVIDIA announced it has agreed to acquire Hugging Face for $12.93 billion, pledging to keep the open-model hub multi-cloud and multi-accelerator. The deal locks in the open distribution layer after weeks of unsigned takeover talks.
Nokia unveiled the industry's first commercial AI-native radio access network (AI-RAN) platform on July 15, built on its anyRAN software and NVIDIA's. Radio access networks account for the largest share of telecom infrastructure spending.
Amazon and Nvidia expanded their partnership with a 2 million GPU order for 2027-2028 delivery, tripling the previous commitment. The deal spans Blackwell Ultra, Rubin, and Vera CPUs while Amazon simultaneously builds competing Trainium chips.
AMD launched its Helios rack-scale AI system at Advancing AI 2026, combining 72 MI455X GPUs with 18 EPYC Venice CPUs to challenge Nvidia's Vera Rubin platform. The system will begin shipping to customers including Microsoft, Meta, and OpenAI later in 2026.