isoquant
Run open models at low cost and latency with APIs compatible with existing stacks.
Isoquant is an inference platform for running open models with optimized serving, exposing an API compatible with existing stacks through a base URL and API key. It addresses the tradeoff between model quality, latency, and cost by tuning execution to each model's architecture and to the customer's workload.
The platform's engineering spans architecture-aware optimization (mixed precision), GPU performance work (kernel and memory optimization), accelerated decoding (speculative decoding, decode optimization), and workload-aware serving (KV cache, load balancing) for long context and concurrent traffic. It also provides a workflow for connecting a workload with tasks and success criteria, evaluating and improving models through evals, configs, optimizations, and trained specialists, then deploying the best-fit model. The API follows a Chat Completions interface.
Isoquant is aimed at companies running inference workloads and at developers integrating model APIs. Pricing is usage-based, with per-token rates for input, output, and cached input tokens, and no top-up fees; automatic prompt caching is included.
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