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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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May 13, 2026

The AI Agent Metrics That Actually Matter: Beyond Tokens and Latency

Bryan Bamford
Marketing, Enterprise and Partnerships

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May 6, 2026

Tensormesh Inference: Cheaper LLM Inference for AI Agents

Sandro Mazziotta
Head of Product Management
Bryan Bamford
Marketing, Enterprise and Partnerships

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April 29, 2026

Agentic AI Inference Cost: How LLM Agent Loops Break Caching and Drain Your Budget

Bryan Bamford
Marketing, Enterprise and Partnerships

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April 28, 2026

Inside Tensormesh: Meet our CTO and Chief Scientist

Kuntai Du
Chief Scientist, Co-Founder
Yihua Cheng
CTO, Co-Founder

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April 22, 2026

Enterprise AI Vendor Lock-In: What It Costs When Your Provider Pulls Access

Bryan Bamford
Marketing, Enterprise and Partnerships

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April 15, 2026

Introducing Tensormesh Beta 2.2: Serverless Inference & $0 Cached Input Tokens

Bryan Bamford
Marketing, Enterprise and Partnerships

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April 8, 2026

How We Optimized Redis for LLM KV Cache: 0.3 GB/s to 10 GB/s

Samuel Shen
Software Engineer
Bryan Bamford
Marketing, Enterprise and Partnerships

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February 25, 2026

Introducing Tensormesh Beta 2: One-Click LLM Deployment, New UI & Real-Time Cost Savings

Bryan Bamford
Marketing, Enterprise and Partnerships

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*Results may vary based on specific client infrastructure, workload characteristics, and hardware configuration. The 10x performance claim represents peak optimization in controlled environments.
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