Tensordyne Converts AI Matrix Math to Logs to Crank Up Inference Oomph
Tensordyne has developed an AI inference engine that converts matrix math to logarithms, allowing for faster and more efficient processing. This approach enables the company's Napier chip to achieve more than an order of magnitude better performance, lower price, and lower power consumption than hybrid architectures from Nvidia and Amazon Web Services. The Tensordyne architecture has the potential to be a significant development in AI hardware, particularly if it can support all major inference engines and overcome supply chain challenges.
- ▪Tensordyne's Napier chip converts matrix math to logarithms to improve AI inference performance.
- ▪The company's approach provides more than an order of magnitude better performance, lower price, and lower power consumption than hybrid architectures.
- ▪Tensordyne has partnered with Broadcom as its chip shepherd and supplier of HBM memory.
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