Serverless inference
Route requests to the fastest healthy endpoint with automatic batching, speculative decoding, and per-token load balancing.
Together deploys, scales, and serves frontier models on dedicated GPU clusters and a global inference edge — one manifest, minutes to production.
A full control plane for inference — from the first request to planet-wide throughput.
Route requests to the fastest healthy endpoint with automatic batching, speculative decoding, and per-token load balancing.
Reserve H-class accelerators in seconds and scale from one node to thousands with live migration and zero-downtime rollovers.
Serve from 30+ regions with latency-based routing, so every user sits within 20ms of a warm model replica.
Link your model weights, container, or Hugging Face repo. Weights sync automatically and cache in every region.
Declare replicas, autoscaling rules, and GPU type in one versioned, reviewable YAML manifest.
Ship to global endpoints in minutes with canary rollouts, instant rollback, and live traffic dashboards.
We cut inference spend by 58% in the first month and nobody touched an ops runbook. It just scales.
Rollouts that took our old platform an afternoon now finish before standup. The edge routing is unfair.
Start free, scale predictably, and go custom when compliance demands it.
Any weights you own or license: open-weight models like Llama, Mistral, and Qwen, plus your own fine-tunes. Bring safetensors, a container, or a Hugging Face repo — we handle the rest.
You pay a monthly rate for reserved capacity and per-request pricing for serverless inference. Annual plans save 20%, and unused serverless credits roll over for 90 days.
Yes. Prompts and completions are never used for training, are encrypted in transit and at rest, and can be pinned to single-region processing for compliance workloads.
Join thousands of teams serving production traffic on Together. Request access and we'll provision your first cluster today.