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Together AI Dedicated Inference

San Francisco, California, United States

Plans and prices

Dedicated Inference — NVIDIA HGX H100 (on-demand)

Priced on request

Single-tenant GPU instances · guaranteed performance (no sharing) · custom models · autoscaling and traffic spike handling

Dedicated Inference — NVIDIA HGX B200 (on-demand)

Priced on request

Single-tenant GPU instances · guaranteed performance (no sharing) · custom models · autoscaling and traffic spike handling

Dedicated Inference — reserved capacity

Priced on request

Reserved GPU capacity · pricing depends on hardware and configuration

Every plan, in full

On the record

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.together.ai · read 8 Oct 2026
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.together.ai · read 8 Oct 2026
Best suited for
Together lists predictable or steady traffic, latency-sensitive applications, and high-throughput production workloads as best suited to Dedicated Model Inference.together.ai · read 8 Oct 2026
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.together.ai · read 8 Oct 2026
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.together.ai · read 8 Oct 2026
Custom models
Customers can deploy custom or fine-tuned models from Hugging Face or their own S3 storage through the UI or CLI.together.ai · read 8 Oct 2026
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.together.ai · read 8 Oct 2026
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.together.ai · read 8 Oct 2026
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.together.ai · read 8 Oct 2026
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.together.ai · read 8 Oct 2026
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.together.ai · read 8 Oct 2026
Support
The product FAQ directs users to contact Together's team for help, and the product page offers a Talk to Sales option.together.ai · read 8 Oct 2026

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