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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| Original publisher | nextplatform |
| Canonical URL | https://www.nextplatform.com/compute/2026/06/16/tensordyne-converts-ai-matrix-math-to-logs-to-crank-up-inference-oomph/5256558 |
| Publication time | Mon, 29 Jun 2026 06:24:53 +0000 |
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(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); compute Tensordyne Converts AI Matrix Math To Logs To Crank Up Inference Oomph Timothy Prickett Morgan Timothy Prickett Morgan Co-Editor, Co-Founder, The Next Platform Published tue 16 Jun 2026 // 19:52 UTC Right off the bat, let’s give a shout out to the mathematician propeller-heads who create the transformations that make it possible to do all kinds of high performance computing to simulate, model, and generate insight from massive amounts of noisy data.Transformations are the key to…
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