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Tensormesh Inference
Serverless and Reserved inference with built-in context caching.
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Bring production context caching to your on-prem Al stack.
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Latest News
July 23, 2026
Tensormesh and AMD Collaborate to Empower Fewer GPUs to Serve More Models
Junchen Jiang
CEO, Co-Founder
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May 27, 2026
Tensormesh Raises $20M from Investors Including AMD Ventures, CoreWeave, NVentures, Launches Tensormesh Inference to Fix AI’s Most Expensive Problem
Junchen Jiang
CEO, Co-Founder
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News
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October 23, 2025
Tensormesh Emerges From Stealth to Slash AI Inference Costs and Latency by up to 10x
Junchen Jiang
CEO, Co-Founder
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Articles
August 18, 2026
Building Production AI Infrastructure: Lessons from AI at Hyperscale
Qian Cao
Founding Engineer
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July 30, 2026
Why LLM Inference Is a Data Problem, Not Just a Compute Problem
Yihua Cheng
CTO, Co-Founder
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July 1, 2026
Designing AI Infrastructure Products for Developers
Bryan Bamford
Marketing, Enterprise and Partnerships
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June 24, 2026
Persistent KV Cache: Own Your Context Caching Lifecycle
Sandro Mazziotta
Head of Product Management
Bryan Bamford
Marketing, Enterprise and Partnerships
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June 17, 2026
Fighting the Amnesia Tax: The Hidden Cost of Open-Weight LLM Serving
Sandro Mazziotta
Head of Product Management
Bryan Bamford
Marketing, Enterprise and Partnerships
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June 10, 2026
Run Open-Weight LLMs in Claude Code via Tensormesh Serverless Inference
Sandro Mazziotta
Head of Product Management
Bryan Bamford
Marketing, Enterprise and Partnerships
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June 2, 2026
Run Open-Weight LLMs in Your AI Agent with Codex CLI & Tensormesh Serverless Inference
Sandro Mazziotta
Head of Product Management
Bryan Bamford
Marketing, Enterprise and Partnerships
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May 28, 2026
Fixing AI's Most Expensive Problem — Junchen Jiang, Tensormesh CEO
Junchen Jiang
CEO, Co-Founder
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May 20, 2026
KV Cache isn't just Cache, it's Memory: A Guide for LLM & Agent Devs
Samuel Shen
Software Engineer
Bryan Bamford
Marketing, Enterprise and Partnerships
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