Cuts time-to-first-token, delivers sub-millisecond repeated queries, and drastically reduces GPU load per inference — all deployable in under 5 minutes.
Reliability & Control
Deploy on public GPU providers or on-prem, with full observability and confidentiality-conscious design.
Developer Experience
SDKs, APIs, and metrics dashboards that make it simple to plug Tensormesh into existing inference pipelines and track cache hit rates, throughput, and cost savings.
Ecosystem Compatability
Works out of the box with leading inference engines like vLLM plus flexible APIs for custom stacks.
Continuous Innovation
We’ll keep releasing new features and enhancing performance based on user feedback.
Trusted by leading teams building with LMCache.
Tensormesh enabled distributed KV-cache sharing across servers—delivering performance that exceeded expectations.
Rowan T.
CEO
The LMCache team rapidly adapts and delivers results that stabilize and optimize model hosting. It’s a major step forward for enterprise LLM performance.
Prashant P.
Software Engineer
Our collaboration with LMCache accelerated our GDS open-source release and achieved a 41× reduction in time-to-first-token—transforming large-scale AI economics.
Callan F.
Product Lead
We’ve seen major LLM efficiency and cost savings using the vLLM Production Stack from Tensormesh’s founders.
Ido B.
CEO
COMPARE TENSORMESH
What makes us better than the rest?
Tensormesh optimizes every layer of inference - from caching to compute - to deliver unmatched speed and efficiency.
Tensormesh
Speed
Optimized per model
Performance
UP to 10x faster inference
Efficiency
Cuts GPU load in half
Cost
Savings-based pricing
The Others
Speed
Basic caching
Performance
Average
Efficiency
Standard
Cost
High fixed GPU cost
VS
"Enterprises everywhere are wrestling with the huge costs of AI inference, Tensormesh’s approach delivers a fundamental breakthrough in efficiency and is poised to become essential infrastructure for any company betting on AI."
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