Tensormesh is the caching-based inference platform that makes large-language-model serving faster and cheaper. It automatically shares KV cache data across requests and nodes, cutting GPU costs while improving throughput and latency.
When can I join the beta?
We’re onboarding users in batches to ensure stability and support. Once your turn comes up, you’ll receive an invitation with setup instructions.
How does pricing work?
The beta is free apart from GPU usage costs. After launch, Tensormesh will charge based on the savings our caching engine delivers—so you only pay when you save.
Can I bring my own model or GPU provider?
Yes. You can use any model available on Hugging Face today, with private model and custom provider support coming soon.
Can I run Tensormesh on my own infrastructure?
An on-prem and private-cloud version will be available after v1, with enterprise deployment options (Kubernetes + Helm) and hybrid control-plane support.
What’s on the roadmap?
Upcoming milestones include:
Unified API + CLI Enterprise audit logging and SOC 2 readiness Advanced monitoring and cost dashboards Savings-based billing engine Custom model templates and configuration tools
