Together AI Dedicated Inference
together.ai
Spec sheet
- Deployment
- Customers select a target model and hardware configuration to deploy a production-ready endpoint, and Together says it can be live in minutes without deep infrastructure expertise.Read 8 Oct 2026 · together.ai
- Support
- The product FAQ directs users to contact Together's team for help, and the product page offers a Talk to Sales option.Read 8 Oct 2026 · together.ai
- Headquarters
- San Francisco, California, United StatesRead 28 Sep 2026 · together.ai
- Founded
- 2022Read 28 Sep 2026 · together.ai
- API compatibility
- Dedicated and serverless inference use the same OpenAI-compatible API, so a serverless prototype can move to a dedicated endpoint by changing the endpoint.Read 8 Oct 2026 · together.ai
- Autoscaling and routing
- The product page lists SLO-driven autoscaling based on time to first token, latency, and throughput, along with least-loaded, session-affinity, and prefix-cache-aware routing.Read 8 Oct 2026 · together.ai
- Best suited for
- Together lists predictable or steady traffic, latency-sensitive applications, and high-throughput production workloads as best suited to Dedicated Model Inference.Read 8 Oct 2026 · together.ai
- Company mission
- Together AI describes its mission as designing a full-stack AI platform powered by systems research to help teams ship faster, scale reliably, and achieve superior unit economics.Read 8 Oct 2026 · together.ai
- Compliance and data residency
- Together says customers can choose a deployment region for data residency and identifies SOC 2 Type II and ISO 27001 as supporting certifications.Read 8 Oct 2026 · together.ai
- Custom models
- Customers can deploy custom or fine-tuned models from Hugging Face or their own S3 storage through the UI or CLI.Read 8 Oct 2026 · together.ai
- Pricing basis
- Dedicated Inference is billed per GPU-hour based on GPU type and replica count; the pricing page lists on-demand rates for HGX H100 and HGX B200, while reserved rates require contacting sales.Read 8 Oct 2026 · together.ai
- Rollouts
- Customers can test updated deployments with shadow traffic or A/B testing, and Together says it manages the rollout without taking the serving endpoint down.Read 8 Oct 2026 · together.ai
- Security and privacy
- Dedicated deployments use single-tenant, isolated GPUs; Together says traffic and data are not shared and that it does not train on customer prompts or model weights.Read 8 Oct 2026 · together.ai
- Service
- Dedicated inference runs a model on GPUs reserved exclusively for a customer's workload, providing consistent latency, predictable cost, and control over the model and hardware.Read 8 Oct 2026 · together.ai
Plans and prices
Dedicated Inference — NVIDIA HGX H100 (on-demand) Priced on request On-demand, pay as you go; billed per GPU per hour Single-tenant GPU instances · guaranteed performance (no sharing) · custom models · autoscaling and traffic spike handling Read 8 Oct 2026 · together.ai
Dedicated Inference — NVIDIA HGX B200 (on-demand) Priced on request On-demand, pay as you go; billed per GPU per hour Single-tenant GPU instances · guaranteed performance (no sharing) · custom models · autoscaling and traffic spike handling Read 8 Oct 2026 · together.ai
Dedicated Inference — reserved capacity Priced on request Contact sales Reserved GPU capacity · pricing depends on hardware and configuration Read 8 Oct 2026 · together.ai
Where Specifiction places it
- Ai Development Tools#16 of 266.7