Together AI
Together AI (Together Computer, Inc.) operates an AI Native Cloud — a full-stack AI platform for inference, fine-tuning, and GPU clusters, powered by cutting-edge research.
About Together AI
Together AI (Together Computer, Inc.) operates an AI Native Cloud — a full-stack AI platform for inference, fine-tuning, and GPU clusters, powered by cutting-edge research.
Products
The fastest way to run open-source models on demand.
Cost-effectively process massive workloads asynchronously.
Committed inference capacity with token-based pricing, reserved throughput, and a 99% uptime SLA.
Deploy models on dedicated infrastructure.
GPU infrastructure purpose-built for generative media workloads.
Scale from self-serve instant clusters to thousands of GPUs, all optimized for better performance with Together Kernel Collection.
Custom infrastructure at frontier scale.
Use fast, secure code sandboxes at scale to set up full-scale development environments for AI apps and agents.
High-performance managed storage for AI-native workloads.
Fine-tune open-source models for production workloads, using the latest research techniques.
Measure model quality.
Build voice agents that sound natural.
What customers say
“We’ve been thoroughly impressed with Together. They delivered a 2x reduction in latency and cut our costs by approximately a third.”
“Together AI offers optimized performance at scale, and at a lower cost than closed-source providers – all while maintaining strict privacy standards.”
- Dedicated Model Inference
Dippy AI deployed custom companion models on Together Dedicated Endpoints with autoscaling. Together reports median time to first token of 0.4 seconds, peak throughput of 4.1 million tokens per minute, and reduced…
Case study - GPU Clusters
Deep Cogito uses Together's custom H100/H200 clusters for large-model training and dedicated inference for Cogito models. Together reports sub-500ms time to first token at over 1,000 requests per minute and quantized…
Case study - Dedicated Container Inference
Hedra uses Together's Dedicated Container Inference, managed GPU clusters and storage for video generation and training; its CEO also identifies Frontier AI Factory for Character-3 training. Together reports 60% total…
Case study
Security and compliance
As reported by Together AI. Ask for audit reports before you buy.
- SOC 2 Type IICompliant
- Zero data retention (ZDR): Together does not store inputs or outputs by default; temporary caching may be used for performance unless otherwise configured.
- Training opt-in: Data sharing for training other models is opt-in and not enabled by default; configurable in Organization Settings under Privacy.
- Organization-level privacy toggles: Admins can control storing prompts/responses, allowing data for training, and allowing passthrough models.
- Passthrough model isolation: Non-passthrough models run on Together's own infrastructure with no call-out to model authors; passthrough is a separate organization-level toggle.
- VPC-based deployments and private networking available for enterprise customers.
- OIDC authentication supported for GPU Clusters.
- Single sign-on (SSO) listed under Administration features.
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