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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Isoquant
Isoquant

Isoquant

Run open large language models with fast inference speeds and low latency using APIs

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Isoquant to run open large language models with reduced latency and lower compute costs. It provides drop-in API endpoints compatible with standard chat completion formats, allowing developers to switch inference providers without rewriting existing codebases. Isoquant applies custom kernel adjustments, memory engineering, and accelerated decoding to speed up token generation for demanding applications. The service includes automatic prompt caching, workload routing, and options to train smaller specialized models for dedicated tasks like intent classification, code repair, and multi-step customer order resolution.

What Isoquant does

Route chat completion requests through high-speed endpointsCache common input prompts to reduce token billingDeploy fine-tuned open models for domain-specific tasksBenchmark inference latency against alternative cloud providersHandle concurrent user requests with long context windowsIntegrate open model endpoints into existing software stacksAutomatic prompt caching for repeated context windowsAccelerated token decoding and custom kernel adjustmentsDrop-in OpenAI compatible chat completions endpointFast time to first token under 500 millisecondsHigh throughput token generation exceeding 150 tokens per secondSpecialist model training for domain-specific tasksServing orchestration engineered for high concurrent traffic

Pricing breakdown

Pricing model: Paid

PlanList price
Input Tokens (per 1M)$0.03 / mo
Cached Input Tokens (per 1M)$0.02 / mo
Output Tokens (per 1M)$0.49 / mo

Tutorials & Demos

Frequently asked

OpenAI API, cURL

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Isoquant, AI hosting, LLM inference, model serving, prompt caching, speculative decoding, low latency inference, GPU engineering, open models, Qwen, GLM, API endpoints, chat completions, token throughput, developer tools