Tensordyne's R K Anand: HPE Juniper Fabric, Logarithmic Math, MoE Inference, Air Cooling, 3nm
Tensordyne's R K Anand: HPE Juniper Fabric, Logarithmic Math, MoE Inference, Air Cooling, 3nm  
Podcast: Semi Doped
Published On: Tue Aug 18 2026
Description: Tensordyne co-founder and CPO R K Anand joins Austin to discuss the company's strategy for disrupting AI inference. RK explains how Tensordyne combines power-efficient logarithmic math with a battle-hardened networking fabric from partner HPE Juniper. The result is a high-density, air-cooled system designed to efficiently run massive Mixture-of-Experts models in existing data centers.Key Takeaways:- The core innovation isn't just log math, it's the patented method for accumulation. This turns expensive multiplications into cheap additions, freeing die space for a massive on-chip SRAM cache.- Networking is a partnership, not a project. Tensordyne leverages HPE Juniper's 7th-gen router fabric, skipping development cycles to get a 1-2 microsecond latency solution ideal for random MoE traffic.- The power and density claims are radical. By combining log math silicon with an air-cooled fabric, Tensordyne packs 72 chips into a 13U chassis at just 30 kW — a quarter of the space and power of an NVL72.- One go-to-market advantage is air cooling. The 30 kW, 19-inch rack system can be deployed in existing 'brownfield' enterprise and telco data centers that cannot support liquid cooling.- Partnerships de-risk the aggressive timeline. Broadcom provides access to TSMC 3nm and HBM, while strategic investor HPE Juniper provides the carrier-grade fabric with 'five nines' reliability.Chapters:0:00 Introducing Tensordyne5:32 The Juniper vs. Cisco Playbook11:29 Origin Story: Automotive Power Constraints15:37 The Secret Sauce of Log Math18:02 Pivoting to the Data Center22:08 Leveraging a Router Backplane for AI27:22 Why Router Fabrics Suit MoE Models34:12 The Three Phases of Inference Hardware37:40 How One Chip Handles Pre-fill & Decode40:34 The 'Too Good to Be True' System Specs43:31 Go-to-Market: The Air-Cooled Advantage48:21 De-risking with Strategic Partnerships52:37 Solving the Software Problem with AIFollow Chipstrat:Newsletter: https://www.chipstrat.comX: https://x.com/chipstratFollow Vik:Newsletter: https://www.viksnewsletter.com/X: https://x.com/vikramskrFollow Semi Doped:Get more of Austin and Vik daily, free: https://daily.semidoped.com/- The software moat is eroding. Tensordyne argues that modern agentic AI workflows can now automate the generation of optimized software kernels, solving the classic adoption problem for new hardware.