Infrastructure for open models.

IteraCompute operates and optimizes open-model inference infrastructure, providing OpenAI-compatible APIs, dedicated endpoints and custom deployments for enterprises and AI platforms.

Open models move fast. Infrastructure shouldn't slow you down.

New open-source models arrive every week, but turning them into reliable production infrastructure still requires model evaluation, quantization, engine tuning, capacity planning and continuous optimization.

  1. Faster adoption

    New models evaluated, optimized and deployed quickly.

  2. Better economics

    Quantization and inference optimization reduce the compute required per request.

  3. Less infrastructure work

    One OpenAI-compatible interface across multiple open-source models.

From model to production.

For models we operate directly, our team works across the inference stack — from model evaluation and quantization to engine configuration, memory optimization, deployment and production monitoring.

  1. ModelEvaluation
  2. PrecisionNVFP4 / FP8
  3. EnginevLLM / SGLang
  4. OptimizationKV Cache / Speculative Decoding
  5. InfrastructureGPU Compute
  6. APIOpenAI-compatible

Built on open-source technologies and standard APIs, so your team can keep using familiar tools.

IteraCompute

Legal entityIteraCompute Artificial Intelligence Technology (Chongqing) Co., Ltd.
LocationChina
BusinessOpen-model APIs, reserved inference capacity, dedicated inference and custom deployments for developers and enterprises, with model evaluation, quantization, fine-tuning and application integration.

Build on open models without building the infrastructure.

Explore models, or talk to us about your workload.