Together AI Dedicated Inference

together.ai · checked 8 Oct 2026

#15 · AI Development Tools

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How it plugs in

—Public API

NoOpen source

NoFree tier

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Together AI Dedicated Inference home page

Pricing

Dedicated Inference — NVIDIA HGX H100 (on-demand)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$5.49
Dedicated Inference — NVIDIA HGX B200 (on-demand)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$8.99
Dedicated Inference — reserved capacityContact sales · Reserved GPU capacity · pricing depends on hardware and configurationOn request

As together.ai lists them, checked 8 Oct 2026.

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Facts

Website: together.ai
Price: Not published
Free trial: Not stated
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.
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.
Best suited for: Together lists predictable or steady traffic, latency-sensitive applications, and high-throughput production workloads as best suited to Dedicated Model Inference.
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.
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.
Custom models: Customers can deploy custom or fine-tuned models from Hugging Face or their own S3 storage through the UI or CLI.
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.
Founded: 2022
Headquarters: San Francisco, California, United States
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.
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.
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.

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