- Drastically Reduce GPU Costs: Achieve a 5–10x reduction in GPU operational costs by maximizing the reuse of cached computations.
- Accelerate Inference Speed: Deliver significantly faster response times, including sub-millisecond latency for repeated queries and a lower time-to-first-token for new requests.
- Deploy with Ease: Go from setup to a live model in minutes on any public or private GPU infrastructure.
- Maintain Complete Control: Gain full observability and granular control over multi-tenant workloads, ensuring stability and performance.
Overview
Welcome to Tensormesh, an advanced AI inference platform meticulously engineered to dramatically reduce the cost and latency associated with Large Language Model (LLM) workloads. Tensormesh acts as an intelligent layer between model inference frameworks (such as vLLM or SGLang) and your GPU infrastructure—whether it’s on-premise or hosted on cloud platforms like AWS, GCP, Lambda, or Nebius.
At its core, Tensormesh employs cutting-edge techniques to automatically cache, reuse, and route computational tasks for maximum efficiency. By intelligently managing the KV Cache, Tensormesh minimizes redundant processing, leading to significant performance gains and cost savings.
With Tensormesh, you can unlock the following key benefits:
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