👨🏽‍🚀 Welcome to Episode 10 of "Tech Beats Unplugged" with Junchen Jiang, CEO & Co-Founder of Tensormesh.

$20M to Fix AI's Most Expensive Problem.

Fresh off Tensormesh's $20M funding announcement backed by AMD Ventures, CoreWeave, NVentures (NVIDIA), Valley Capital Partners, and Laude Ventures, Junchen joins Kosseila HD to unpack the journey from a research insight at the University of Chicago to building one of the fastest-growing AI infrastructure companies.

In this episode, we dive into the story behind LMCache, why KV cache evolved from a largely misunderstood concept in academia into one of the most critical layers of modern AI inference, and how Tensormesh is building an open, caching-accelerated inference platform for the next generation of AI.

We're excited to share one of our most technical conversations yet.

Topics discussed:

1. (00:00) Introduction
2. (01:08) The Origin Story and Insight Behind LMCache
3. (06:27) The Origin of "KV Cache" in Academia
4. (11:25) Day 2 of AI: The Inference Bottleneck
5. (14:59) The Secret to Sustaining a Thriving Open Source Community
6. (16:42) Tensormesh Inference Platform V1 and $0 Cached Tokens
7. (18:28) Designing an Open, Agnostic Ecosystem (Serverless to On-Prem)
8. (21:42) Working with Hardware Vendors
9. (24:01) KV Cache in the Agentic Era
10. (27:38) What GPU & AI Cloud Backing Says About Tensormesh
11. (29:49) Closing Thoughts: Where Tensormesh Goes Next

Show Notes

• LMCache (Open Source): https://github.com/LMCache/LMCache
• Tensormesh: https://www.tensormesh.ai/
• Tensormesh Funding Announcement: https://www.tensormesh.ai/blog-posts/
• Follow Tensormesh on X: https://x.com/tensormesh
• Connect with Junchen Jiang: https://www.linkedin.com/in/junchenjiang/

🎙 About Junchen Jiang

Junchen Jiang is the CEO & Co-Founder of Tensormesh and the co-creator of LMCache, an open-source project developed from research at the University of Chicago. His work focuses on large-scale AI inference infrastructure, KV cache systems, and building an open ecosystem that spans GPUs, inference engines, storage, and enterprise AI deployments.

Follow Tech Beats Unplugged for more conversations with founders, researchers, and engineers building the future of AI infrastructure, open source, cloud, and startups.

👨🏽‍🚀 Welcome to Episode 08 of "Tech Beats unplugged"

🌐🦘This time the episode cuts through the 𝗩𝗠𝘄𝗮𝗿𝗲 𝗕𝗿𝗼𝗮𝗱𝗰𝗼𝗺 chaos and breaks down where Nutanix really fits in today’s virtualized/multicloud world. With the help of no other than Nutanix Guru Michael Webster all the way from News Zeeland

🎧 We’re so excited to share our latest tech Beats show with you🧡! Please share away 🤗

We hope you'll enjoy it!!!

Topics discussed:

1. (00:21) Introduction
2. (01:58) What's your story with Nutanix
3. (09:41) Hyper Converged Infrastructure. What's that?
4. (13:38) Understanding Nutanix.
5. (18:25) The VMware–Broadcom Chaos for customers
6. (26:00) Running VMware on Nutanix (and moving off)
7. (30:05) Nutanix hardware ... a Lego of Nodes
8. (36:20) Nutanix building blocks - What's Controller VM
9. (43:05) Nutanix 𝗸𝗶𝗹𝗹𝘀 𝘁𝗵𝗲 𝗹𝗲𝗴𝗮𝗰𝘆 𝗥𝗔𝗜𝗗 storage - how?
10. (52:04) Nutanix; from 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝘁𝗼 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 company
11. (57:00) What is Nutanix MOAT going forward ?

Show Notes

• VMware customers face up to 1,500% price increase News⁠

• ⁠Nutanix How it works: ⁠⁠⁠Video

• Dutch court forces Broadcom to support VMware migration after 85% price hike: ⁠Networkworld⁠

• Nutanix Bible (nutanixbible.com)⁠

• ⁠AT&T sues broadcom over licensing: ⁠⁠⁠⁠Forbes

• Nutanix AHV: ⁠Built-in Enterprise-Class Virtualization⁠

🎙About Michael Webster:

• ⁠⁠⁠⁠⁠⁠Website: ⁠longwhiteclouds.com⁠

• LinkedIn: ⁠Steve Giguere⁠

• X(Twitter): @vcdxnz001

  
  

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