From the creators of vLLM

Frontier inference you control.

AMDApplied ComputeGoogle CloudIntelKimiMinimaxNvidiaPrime IntellectReflection
AMDApplied ComputeGoogle CloudIntelKimiMinimaxNvidiaPrime IntellectReflection
AMDApplied ComputeGoogle CloudIntelKimiMinimaxNvidiaPrime IntellectReflection

Production inference you control, optimized for your models, hardware, and workloads. Balance cost, latency, and throughput.

On your compute or ours.

Inferact Platform
A textured blue circular logo with an abstract design and the text 'ON YOUR OWN COMPUTE' in a highlighted box over the center.

Run inference on your compute

Deploy the Inferact Inference Platform in your cloud or datacenter. Everything you need for frontier inference, in your environment.

See How It Works
Inferact Cloud
A vintage computer setup including a CRT monitor displaying a logo, a desktop unit, a keyboard, and a floppy disk drive, all in a blue monochrome tone with a floating label reading 'ON OUR COMPUTE' accompanied by a network-like icon.

Run inference on our compute

Run the Inferact Inference Platform on GPUs we provision for you. Everything you need for frontier inference, ready to serve.

Peak efficiency

The engineers who created and maintain vLLM tune your inference for leading performance.

Control over your stack

Control cost, latency, and throughput tradeoffs as your models and workloads change.

Day-0 Support

New models and hardware are available fully optimized the day they launch.

One control plane. Any environment.

Inferact provides the platform to run inference at the cost-performance frontier. Here's how it works.

Optimized Performance

Agents tune configurations to meet your workload's latency and throughput requirements.

DAY-ZERO MODELS

Frontier models served under your control the day they launch, quality validated by the model vendor.

AUTOSCALING

Scale up or scale down compute based on demand to reduce unnecessary compute spend.

FRONTIER TUNING

Custom kernels, trained speculators and more—provided in-platform by the Inferact team.

ENDPOINTS & METERING

Authenticated endpoints with rate limits, token accounting, and governance controls.

OBSERVABILITY

Track throughput, latency and cost for every workload.

Built by the creators and maintainers of vLLM

Inferact was founded by vLLM's creators, and our team leads its roadmap. The project stays open source and community governed. Our work on vLLM gives us an early view of where inference is heading, letting us solve the most challenging problems at the foundation level.

Visit vLLM
Transparent blue overlay with white text 'vLLM' in the center, over a mechanical or industrial equipment background with muted blue and yellow accents.

Inferact is trusted by frontier AI leaders.

"Inference is a key component of the continuous learning loop. We work with Inferact to run frontier inference through vLLM, supported by the team that builds the engine."

Yash Patil

Co-Founder & CEO, Applied Compute

"We partner with Inferact to ensure MiniMax is ready for frontier inference at scale, backed by the team that builds vLLM."

Dr. Yan Junjie

Founder and CEO, MiniMax

"In large-scale RL, most of the compute goes to inference for sampling rollouts. Inferact helps us optimize inference to get more rollouts per GPU hour, so we can train faster and enable our customers to own their intelligence."

Johannes Hagemann

Co-Founder & CTO, Prime Intellect

"Inferact passes the Kimi Vendor Verifier across all benchmarks, so developers can confidently serve Kimi with Inferact."

Kimi Team

Moonshot AI

"Every frontier model release ships with vLLM support on AMD Instinct from day zero at production quality. Inferact's inference expertise is what makes that cadence possible."

Emad Barsoum

Corporate Vice President, AI and Engineering Group, AMD

464 tok/s

bs=1 decode on Kimi-K3 on launch day

18.3M tok / 1$

On Semianalysis AgentX, cost per token with Kimi K3

#1

On Artificial Analysis, May 2026

Take control of your inference.

Tell us a model to serve. We'll help optimize it.

Talk to an engineer

News from the team

Announcement

Oct 2026

Inferact Collaborates with AMD to Expand Agentic Inference to vLLM on AMD Instinct™ GPUs

Engineering

Sep 2026

700 TPS on Kimi K3: A Case for TPU Megakernels

Announcement

Sep 2026

Google and Inferact Announce Engineering Partnership to Make TPU a First-Class Target for Open Inference

Announcement

Aug 2026

Inferact Announces Full Certification of Kimi K3 Vendor Verification, Bringing Production Inference Stack to Everyone

All Posts