Inferact

What it does

Inferact is a production inference platform for serving AI models. Teams choose the models to serve and the cost, latency, and throughput tradeoffs that matter, and the platform runs them as authenticated endpoints with rate limits, token accounting, and governance controls.

It is built on vLLM, the open-source inference engine whose creators and maintainers founded the company. Described features include day-zero support for newly released models, agents that tune configurations to workload latency and throughput requirements, autoscaling that scales compute with demand, and an observability view of throughput, latency, and cost for every workload.

Inferact fits engineering teams and AI companies serving frontier or open models at scale who want control over their stack and data. It can be deployed inside a customer's own cloud or datacenter (Inferact Platform) or run on GPUs Inferact provisions (Inferact Cloud). Access starts by talking to an engineer, and performance figures are vendor-reported.

What it can do

• Serve frontier and open models on customer-owned or Inferact-provisioned GPUs
• Day-zero model support added to vLLM before model release
• Autoscaling of replicas based on request demand
• Authenticated endpoints with rate limits, token accounting, and governance controls
• Observability dashboards tracking throughput, latency, and cost per workload
• Agent-driven tuning of serving configurations for latency and throughput targets

Before you choose

• Pricing is not published; confirm costs directly with Inferact.
• Performance figures such as tokens per second and leaderboard rankings are vendor-reported.
• SOC 2, GDPR readiness, and data residency controls are vendor statements; confirm their scope for your use.

Listed under

• Coding
• Sandboxes and infrastructure
• Byoc
• Cost optimization
• Enterprise AI
• GPU serving
• LLM inference
• Model serving

Get started

Contact is through the site; no self-serve signup is described.

1. Choose deployment mode: Inferact Platform in your own cloud or datacenter, or Inferact Cloud on provisioned GPUs.
2. Tell the Inferact team which model to serve and the target latency, throughput, and cost requirements.
3. Validate model rollouts and monitor throughput, latency, and cost through the control plane.

Pricing is arranged through Inferact; verify cost for your deployment mode (own cloud or Inferact Cloud) when you contact the team.

We couldn’t find published prices for Inferact.

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Inferact | Frontier Inference You Control ↗inferact.ai
• Inferact | Frontier Inference You Control ↗inferact.ai

Company website

inferact.ai: product, pricing and policy pages

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Human review

Checked by a person

knowledge_base

manual_review

Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.