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THE AI SUPERCLOUD FOR OPEN MODELS

The Best AI is Built, Not Bought

Train, inference, and continuously improve any model.

Cognition
Microsoft
NVIDIA
Harvey
Handshake
DoorDash
NTT Data
Bridge
Mercor
Latch Bio
Semgrep
Manifold Bio
Decagon
Microsoft

“There should be as many models in the world as there are firms.”

Satya Nadella, Chairman and CEO of Microsoft, discusses the future of enterprise AI and model ownership with our CEO, Yash Patil.

Satya Nadella & Applied Compute fireside chat

Train it. Serve it.
Improve it.

Our team of frontier lab veterans and applied research engineers help you train custom models on your data, deploy them at scale, and improve them continuously.

|·Train·|

Scalable infrastructure for better, faster, cheaper models.

Post-train tool-using, long-horizon agents.Train across text, images, code, and structured data on a state-of-the-art stack using your own harness and graders.

Optimize your models towards your evals.Calibrate rewards to your product KPIs and domain expertise. Inspect what your model is learning with rollout-level observability.

Stay model-flexible.Train from the best available base models, then upgrade as stronger ones ship without changing your harness, data pipeline, or deployment stack.

|·Serve·|

Flexible, production grade inference in seconds

Serve in the harness you trained in.Move from training to production with zero train-to-deployment mismatch.

Optimize for any production workload.Configure deployments around the throughput, latency, and concurrency your product needs, from asynchronous agents to real-time user experiences.

Promote checkpoints to production instantly.Deploy your latest model as soon as it is ready, with replicas that spin up in seconds.

|·Improve·|

Models that get better the more they are used

Transform real usage into training data.Mine training data and reward signals directly from production traces to continually improve your model.

Improve deployments with real-time training.Attach your production inference endpoints to a training runtime. Update deployments online as real user feedback comes in using online RL and self-distillation.

Fearlessly roll out deployments with monitoring and observability.Directly run A/B tests with release candidates, and roll out production model updates frequently and with confidence.

|·Applied Compute Agent Cloud·|

One platform to train, run, and improve the model you own

|·Model Library·|

Train and inference the best open models

Moonshot AI logo

Kimi K2.7 Code

Moonshot AI

Moonshot AI logo

Kimi K2.6

Moonshot AI

Z.ai logo

GLM-5.2

Z.ai

NVIDIA logo

Nemotron 3 Ultra

NVIDIA

MiniMax logo

MiniMax M2.7

MiniMax

NVIDIA logo

Nemotron 3 Super

NVIDIA

Qwen logo

Qwen3.6-35B-A3B

Qwen

Qwen logo

Qwen3-8B

Qwen

Qwen logo

Qwen3-4B

Qwen

|·How we partner·|

Deployed with you from day one

Our team has pioneered RL post-training, long-horizon agents, and continual learning at frontier labs.

Embedded

We sit with your engineers, from co-designing the first eval, to deploying the model and beyond.

Managed

Your team designs and runs experiments. We manage the training, serving, and infrastructure load.

Your data. Your model. Your edge.

Built for the most security-conscious customers in AI, enterprise, and the public sector.

SOC 2 Certified
ISO 42001 Certified

Data never leaves your perimeter

Choose serverless or a VPC deployment based on the control you need.

Full access and audit

Role-based access control, audit logs on every dispatch, lifecycle automation for checkpoints, datasets, and artifacts.

You own the intelligence

The model is yours. You decide what trains, what deploys, and what memory is retained. Opt out of training any time.

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