Build what's next
on the AI Native Cloud
Full-stack AI platform, powered by cutting-edge research.
👁 Abstract 3D shapes including a red hexagon, a light blue circular disc with a notch, and a translucent blue propeller-like form.
The Together AI Platform
Accelerate inference, model shaping and pre-training on a research-optimized platform.
2x
powered by cutting-edge research.
60%
with workload-specific optimization.
90%
with Together Kernel Collection.
Full-stack cloud
Powering every step of the AI development journey —from experimentation to massive scale.
Serverless Inference
The fastest way to run open-source models on demand. Powered by cutting-edge inference research. No infrastructure to manage, no long-term commitments.
Batch Inference
Cost-effectively process massive workloads asynchronously. Scale to 30 billion tokens per model with any serverless model or private deployment.
Dedicated Model Inference
Deploy models on dedicated infrastructure. Purpose-built for teams who need speed, control, and the best economics in the market.
Dedicated Container Inference
GPU infrastructure purpose-built for generative media workloads. Deploy video, audio, and image models with performance acceleration powered by Together Research.
Accelerated Compute
Scale from self-serve instant clusters to thousands of GPUs, all optimized for better performance with Together Kernel Collection.
Sandbox
Use fast, secure code sandboxes at scale to set up full-scale development environments for AI apps and agents.
Managed Storage
High-performance managed storage for AI-native workloads. Object storage and parallel filesystems optimized for AI, with zero egress fees.
👁 Imageimport { CodeSandbox } from "@codesandbox/sdk" const sdk = new CodeSandbox() const sandbox = await sdk.sandboxes.create({ id: "node-template" }) const client = await sandbox.connect() await client.commands.run("npm install && npm run build") const previewUrl = client.hosts.getUrl(3000) await sdk.sandboxes.hibernate(sandbox.id) // Snapshot saved — resume anytime in <1sFine-Tuning
Fine-tune open-source models for production workloads, using the latest research techniques. Improve accuracy, reduce hallucinations, and control behavior — without managing training infrastructure.
