How do I contact together.ai sales or schedule a call for enterprise pricing, dedicated capacity planning, and procurement?

Most teams reach out to together.ai sales when they’re ready to move beyond ad‑hoc experiments and need clear answers on enterprise pricing, dedicated capacity, and procurement. You can do all of that through a single, streamlined path: the Contact Sales form, which routes you to the right experts for your scale, region, and workload mix.

Quick Answer: To contact together.ai sales or schedule a call, fill out the Contact Sales form on together.ai. You’ll get a tailored walkthrough of enterprise pricing, dedicated capacity options (Dedicated Inference, Dedicated Container Inference, GPU Clusters), and procurement steps based on your project stage and region.

The Quick Overview

What It Is: A direct line to together.ai’s sales and solutions team to discuss enterprise plans, dedicated GPU capacity, and commercial terms for the AI Native Cloud.
Who It Is For: Engineering, AI, and procurement leaders who need production-grade SLAs, cost predictability, and custom capacity planning beyond self‑serve usage.
Core Problem Solved: It removes guesswork around pricing and capacity—helping you design the right mix of Serverless Inference, Dedicated Inference, GPU Clusters, and fine-tuning services for your workloads.

How It Works

The Contact Sales flow is designed to collect just enough context to route you to the right specialists—whether you’re exploring enterprise pricing, planning a 1,000+ GPU cluster, or formalizing a procurement process.

Submit the Contact Sales Form:
- Go to https://www.together.ai/contact-sales.
- Provide basic details:
  - First Name and Last Name
  - Company Email (required for enterprise follow-up)
  - Company Location (North America, EMEA, APAC, LATAM)
- Indicate which products you’re interested in:
  - Inference
  - Fine-Tuning
  - GPU Clusters
  - Code Sandbox
  - Don’t Know / Other
- Share your AI project stage:
  - Just experimenting
  - Building a prototype
  - In active development
  - Near launch
  - Already in production
Share Capacity & Procurement Context (Optional but Recommended):
Use the “Share More Details about your request” field to specify:
- That you want to discuss enterprise pricing, dedicated capacity planning, and procurement
- Target workloads (e.g., voice agents, long‑context RAG, generative media, batch embedding)
- Expected scale (e.g., steady 200–500 TPS, 30B+ tokens/day, 1,000+ GPUs, specific regions)
- Your timeline (e.g., migrating in 60 days, near launch, RFP in progress)
Connect With Sales & Schedule a Call:
- The sales team reviews your submission and connects you with:
  - A sales representative for pricing and commercial terms
  - A solutions engineer for architecture and capacity planning
- Together, you can:
  - Schedule a live call or demo
  - Get enterprise pricing proposals (including volume discounts)
  - Align on capacity reservations (Dedicated Model/Container Inference, GPU Clusters)
  - Map out procurement and legal steps (MSA, DPAs, SOC 2 Type II documentation)

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
Contact Sales Form	Collects your company, region, product interests, and project stage.	Fast routing to the right sales + solutions team for your specific scale and use case.
Enterprise Pricing Consultation	Aligns pricing with your traffic pattern and deployment mode (serverless vs dedicated vs GPU).	Clear unit economics and volume discounts tied to real workloads, not guesswork.
Dedicated Capacity Planning	Designs reserved, isolated compute footprints (Dedicated Inference, GPU Clusters, 1,000+ GPUs).	Guarantees capacity and latency for production workloads with predictable costs and SLAs.

Ideal Use Cases

Best for Enterprise Pricing & Budgeting:
Because you can review per‑1M token economics, expected throughput, and how serverless vs dedicated vs batch affects your total cost of ownership—before committing to a migration or a net‑new deployment.
Best for Dedicated Capacity & Production SLAs:
Because you can co‑design Dedicated Model Inference, Dedicated Container Inference, or GPU Clusters to match:
- Predictable or steady traffic
- Latency‑sensitive applications
- High‑throughput production workloads
  and get guidance on regions (25+ cities) and scale (from 8 GPUs to 4,000+ and beyond).

Limitations & Considerations

Not a Support Channel for Existing Accounts:
If you already use together.ai and need help with current products or subscriptions, use Contact Support instead of Contact Sales. The sales form is optimized for new or expanded commercial discussions, not break/fix issues.
Response Times May Vary by Region & Complexity:
Enterprise questions that involve:
- Multi‑region capacity (US + Europe)
- Bespoke GPU infrastructure at frontier scale (1,000+ GPUs)
- Complex procurement or compliance reviews
  may require additional coordination. Providing detailed context in your initial request helps accelerate this.

Pricing & Plans

together.ai’s pricing is tailored to workload patterns and deployment modes, so the sales conversation will center on how you actually serve tokens:

Serverless Inference:
Best for teams with variable or unpredictable traffic, experimentation, and early‑stage products. You pay per token with no infrastructure to manage and no long‑term commitments, and can still benefit from research-backed optimizations like ATLAS and CPD for faster, more economical inference.
Dedicated Capacity & Enterprise Plans:
Best for predictable or steady traffic, latency‑sensitive applications, and high‑throughput production workloads that need:
- Dedicated Model Inference: Together’s engine + reserved, isolated compute for a specific model or family.
- Dedicated Container Inference: Your model and runtime, fully managed on Together’s infrastructure. Ideal for generative media, non‑standard runtimes, or custom pipelines.
- GPU Clusters: Self-serve or bespoke clusters for training, fine-tuning, and large-scale batch inference—scaling from 8 GPUs to 4,000+.

In the enterprise sales call, you can also cover:

Volume discounts and committed‑use pricing
Region selection (USA, Europe, and additional regions across 25+ cities)
Security and compliance posture:
- SOC 2 Type II
- Tenant‑level isolation
- Encryption in transit and at rest
- Ownership guarantees: Your data and models remain fully under your ownership

Frequently Asked Questions

How do I directly contact together.ai sales for enterprise pricing?

Short Answer: Fill out the Contact Sales form at https://www.together.ai/contact-sales with your company details, region, products of interest, and project stage.

Details:
The Contact Sales form is the canonical entry point for enterprise pricing discussions. When you complete it:

You specify Company Email and Company Location so you’re routed to the correct regional team (North America, EMEA, APAC, LATAM).
You select products like Inference, Fine-Tuning, GPU Clusters, or Code Sandbox, or choose “Don’t Know” if you just want guidance.
You indicate whether you’re just experimenting, building a prototype, in active development, near launch, or already in production.

That context allows together.ai to prepare a pricing and architecture conversation that’s grounded in your actual workloads and scale.

How do I schedule a call for dedicated capacity planning and procurement?

Short Answer: Use the same Contact Sales form and explicitly mention “dedicated capacity planning” and “procurement” in the details section to trigger a deeper architecture + commercial review.

Details:
In the “Share More Details about your request” field:

Explain that you want to plan Dedicated Model Inference, Dedicated Container Inference, or GPU Clusters (or all three).
Include any known requirements:
- Target QPS / TPS, latency SLOs, and context length needs
- Whether you need generative media, non-standard runtimes, or custom inference pipelines
- Region constraints (e.g., US only, or mix of US and Europe)
- Procurement expectations (RFPs, security reviews, legal approvals, custom contracts)

Sales will loop in solutions engineers to:

Propose sizing for dedicated endpoints or clusters
Align on reserved, isolated compute footprints and region placement
Map out procurement steps (pricing proposals, contracts, and compliance documentation)
Coordinate timelines from prototype to near launch to already in production

Summary

To contact together.ai sales or schedule a call for enterprise pricing, dedicated capacity planning, and procurement, everything flows through one entry point: the Contact Sales form at https://www.together.ai/contact-sales. From there, the team can give you a custom walkthrough of the AI Native Cloud, propose the right mix of Serverless Inference and Dedicated Capacity, and align on pricing, regions, and procurement steps—so you can take your AI workloads from experimentation to massive scale with clear economics and guaranteed capacity.

Next Step

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