Inferact

Founded by Woosuk Kwon in 2026

Deploy and serve large language models at scale across diverse hardware accelerators

Pricing model

Free Tier

Rating

★ People love it

Time to value

Requires Expertise

You can use Inferact to deploy and run large language models efficiently in production environments. Built by the creators of vLLM, it provides high-throughput model serving across hundreds of GPU and TPU architectures. You can run complex mixture-of-experts models, multimodal systems, and agentic workflows without maintaining custom infrastructure. The system lowers inference compute costs, speeds up token generation, and maintains compatibility with open-source models. It connects directly with various hardware accelerators, making large-scale AI deployment as straightforward as managing standard serverless cloud databases.

What Inferact does

Serve open-source foundation models via standardized APIsRun low-latency inference on Google Cloud TPUsConfigure high-throughput generation on NVIDIA Blackwell GPUsManage distributed model weights across multi-node setupsProcess multimodal inputs and generate text responsesEvaluate model serving throughput under heavy query loadsHigh-throughput token generation engine based on vLLMHardware support for over 200 accelerator architectures including GPUs and TPUsServing support for over 500 open-source model architecturesCustom TPU megakernels for high tokens-per-second performanceSpecialized execution layers for mixture-of-experts and multimodal modelsServerless-style architecture for scalable model serving

Pricing breakdown

Pricing model: Free tier

Frequently asked

PyTorch

Hugging Face

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