Agentic inference is reshaping AI infrastructure, shifting the focus from training to inference and creating new storage bottlenecks, according to Greg Matson, senior vice president and head of market…
Tensordyne announced its Napier inference processor, which uses logarithmic math to convert matrix multiplications into additions, and said the 3nm TSMC chip is now in production. The company claims t…
AI infrastructure startup Tensordyne has taped out its first commercial accelerator, Napier, on TSMC's 3nm process, claiming up to 17x more tokens per watt and 13x higher throughput than Nvidia's Blac…
Tensordyne, a Sunnyvale startup, announced its Napier (TDN) AI inference processor on June 15, claiming its TDN72 rack system delivers 13 times higher throughput and 17 times more tokens per watt than…
AI chip startup Tensordyne unveiled its Napier inference engine, which converts matrix multiplication to logarithmic addition to dramatically boost performance and efficiency. The company claims the a…
Startup Tensordyne claims its new Napier AI chip, using logarithmic math to replace multipliers with adders, can run large language models four times faster using one-fifth the power of a comparable N…
Tensordyne announced Napier, a 3nm AI processor and rack-scale inference platform using logarithmic math to reduce multiplier area and improve inference economics. The company claims its TDN72 rack ca…
Tensordyne, the AI chip startup formerly known as Recogni, previewed Napier, an AI inference system that uses logarithmic math to replace multiplication with addition for transformer workloads. The co…
AI chip startup Tensordyne has taped out its data center inference chip, claiming an order-of-magnitude improvement in power efficiency over Nvidia GPUs. The company's 72-chip Napier server, built on …