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Ai Accelerator

4 GoKawiil briefs on this topic

openTPU: open-source AI accelerator designed by AI agents runs on real FPGA hardware

A project called openTPU has released an open-source AI inference accelerator whose hardware design, instruction set, compiler and simulator were developed by AI agents rather than human engineers. The design was tested on an Inspur YPCB-00338 FPGA card, successfully running ten language models including LFM2.5, Qwen3, Gemma 4 and SmolLM3, with output matching the simulator bit-for-bit.

Alibaba unveils Zhenwu V900 AI chip, moves launch up to early 2027

At Apsara Conference 2026, Alibaba CEO Eddie Wu introduced the Zhenwu V900 accelerator, claiming it delivers three times the performance of the prior M890 chip and calling it China's most powerful AI chip. The V900 offers 216GB of GPU memory, 1,200GB/s inter-chip bandwidth, can scale to clusters of up to 500,000 cards, and is set for mass production in Q1 2027, earlier than the Q3 2027 date Alibaba previously targeted.

Leaker claims Nvidia RTX 60 and most AMD Radeon 10000 GPUs slip to 2028

Leaker Kepler_L2 says most of Nvidia's next-gen RTX 60 series and AMD's RDNA 5-based Radeon 10000 lineup won't launch until 2028, with AMD's midrange AT2 chip as the sole exception still on track for 2026. The claim contradicts an earlier report from Moore's Law is Dead suggesting Nvidia's RTX 6090 could arrive in early 2027, and AMD board partners have reportedly given inconsistent timelines ranging from late 2027 to early 2028.

Google's TPU chips diverge from GPUs and NPUs in AI hardware roles

The piece explains how Google's Tensor Processing Units (TPUs), built for AI workloads in data centers, differ from GPUs and NPUs. TPUs are now replacing NPUs in Google's upcoming Pixel 11 phones, with Google claiming up to 3.5 times faster AI processing at up to 3.5 times less energy use. GPUs, meanwhile, remain versatile chips handling gaming, 3D rendering, AI training and crypto mining.