AI silicon beyond the GPU: NVIDIA, AMD, Huawei and custom accelerators, covering architecture, memory bandwidth, supply and what each means for inference cost.
Intel has officially unveiled the GPU D-Series, a new lineup of enterprise AI accelerators based on the Crescent Island architecture. The flagship D270 model delivers 1.3 PFLOPS of FP8 compute performance and 1.5 TB/s of memory bandwidth for inference workloads.
Anthropic has been named a top XPU customer amid a Q3 AI chip surge, according to a TradingView weekly recap — a shift that reshapes how Claude models are served at scale.
Intellectia AI has published an analysis of Nvidia’s AI dominance and growth potential. The snippet carries no figures, so we read the claim against the VRAM footprints and token prices developers actually pay.
BlackRock’s Li says Nvidia has earnings pricing power going into its second-quarter report, which Yahoo Finance frames as a test of the resurgent AI trade. Here is what the framing means for anyone buying GPUs or paying for model access.
According to The Motley Fool, 88% of Nvidia’s disclosed equity portfolio is concentrated in just three artificial intelligence companies — a signal of unusual conviction from the world’s leading AI chipmaker.
TradingView reports Intel is raising approximately $20 billion in capital as Nvidia holds around 214.8 million shares — two headline figures reshaping how investors and AI hardware practitioners read the semiconductor landscape in mid-2026.
AI: Reset to Zero’s ARD #138 argues that Nvidia, OpenAI, and Anthropic each exploit structural positions — not just technical merit — to shape the competitive landscape of frontier AI development.
Taiwanese authorities have detained an Nvidia employee in an AI chip-smuggling investigation, with the individual reportedly held on suspicion of falsifying business documents. Nvidia has dismissed the smuggling allegation as “a nonstarter”.
Siemens is folding Nvidia AI software and hardware into its electronic design automation portfolio to support agentic engineering workflows for printed circuit boards and semiconductors, according to Fierce Sensors. Here is what the move signals for engineers and AI developers.
Nvidia and South Korea’s SK Group have announced an AI data centre initiative valued at more than $500 billion, alongside a memory partnership, according to Reuters. The scale signals how tightly AI compute is now coupled to memory supply.
SiliconANGLE reports that Anthropic plans to procure up to 2 gigawatts of GPU capacity from AMD, a scale-defining commitment for the AI model developer’s compute pipeline.
AMD has launched Helios, its first rack-scale AI system built to rival Nvidia, and Microsoft has signed on as the newest buyer, according to CNBC and RTTNews.
