Together AI : Fast Inference, Fine-Tuning & Scalable Training

What Is Together AI?

Together AI is the leading AI Acceleration Cloud engineered for speed, flexibility, and scale across the entire generative AI development lifecycle. Built for developers, researchers, and enterprises, it delivers industry-leading fast inference, production-ready fine-tuning, and massively parallel scalable training — all unified under one high-performance infrastructure layer. With OpenAI-compatible APIs, seamless access to 200+ open-weight models (LLMs, multimodal, code, vision, and embeddings), and bare-metal GPU orchestration, Together AI eliminates bottlenecks — accelerating time-to-production without compromising control, cost-efficiency, or model sovereignty.

How Does Together AI Work?

Getting started is streamlined: launch low-latency inference in seconds via serverless API calls, or spin up persistent, customizable endpoints on dedicated hardware. Fine-tune models using intuitive CLI commands or granular API controls — supporting both parameter-efficient (LoRA, QLoRA) and full-parameter adaptation. For large-scale training, request instant or reserved GPU clusters with enterprise-grade scheduling (Slurm/Kubernetes). All workflows — from prototyping in the interactive Code Sandbox to deploying production services — are managed through a unified web UI, REST API, or command-line interface.

Core Capabilities That Power Performance

Ultra-Low-Latency Serverless Inference

Production-Grade Dedicated Endpoints (Custom Hardware + Isolation)

Flexible Fine-Tuning: LoRA, QLoRA, Full Parameter, and Instruction Tuning

Together Chat — Real-Time Playground for Open-Source Models

Interactive Code Sandbox with Preconfigured Environments

Secure Code Interpreter for Safe, Executable LLM Output

High-Density GPU Clusters: GB200, B200, H200, H100, A100, L40, L40S

Extensive Model Hub — Curated, Benchmarked, and Updated Daily

Drop-in OpenAI-Compatible API Interface

Proprietary Acceleration Stack: FlashAttention-3, FP8 Kernels, QTIP Quantization

Multi-Tier Interconnect Fabric: NVLink + InfiniBand for Zero-Stall Scaling

Enterprise-Ready Orchestration: Slurm, Kubernetes, RBAC, and Audit Logs

Real-World Applications Across Industries

Accelerating enterprise AI adoption at scale (Salesforce, Zoom, InVideo)

Powering intelligent, high-throughput customer engagement bots (Zomato)

Enabling data-driven AI product development — from R&D to revenue

Training next-gen generative video architectures (Pika)

Building domain-specific cybersecurity agents (Nexusflow)

Optimizing latency, throughput, and TCO for mission-critical LLM services (Arcee AI)

Developing proprietary foundation models from scratch — no black boxes

Performing deep multi-document analysis, codebase reasoning, and personalization at scale

Orchestrating complex tool-use, function calling, and agent workflows

Generating, validating, and debugging production-grade code with state-of-the-art coders

Advancing visual intelligence — including video understanding and spatial reasoning

Extracting structured insights from unstructured data (classification, entity extraction, summarization)

Frequently Asked Questions

Which generative AI models are supported on Together AI?

What GPU infrastructure options are available?

How does Together AI achieve faster inference and lower training costs?

Can I bring my own model for fine-tuning or training?

Does Together AI meet enterprise security and compliance requirements?

• Support & Contact Information

  For technical assistance, billing inquiries, or refund requests, visit the official Contact Us page.

• About Together AI

  Company Name: Together AI
  Headquarters: San Francisco, CA 94114
  Learn more about our mission, team, and technology roadmap on the About Us page.

• Together AI Login

  Access your dashboard and resources: Login to Together AI

• Together AI Sign Up

  Start building in minutes — no credit card required: Create Your Free Account

• Together AI Pricing

  Transparent, usage-based pricing — explore plans and cost estimators: Together AI Pricing Page

• Together AI LinkedIn

  Follow for engineering insights, model releases, and AI infrastructure updates: Together AI on LinkedIn

• Together AI X (Twitter)

  Real-time announcements, benchmarks, and community highlights: @togethercompute

FAQ from Together AI

What is Together AI?

Together AI is an end-to-end AI Acceleration Cloud purpose-built for fast inference, production-grade fine-tuning, and scalable training of open-source generative models. It combines cutting-edge hardware, optimized software stacks, and developer-first tooling to empower teams to build, iterate, and deploy AI faster — without trade-offs on performance, cost, or control.

How do I get started with Together AI?

Begin with serverless inference using a single API call — or deploy persistent endpoints for predictable latency. Fine-tune models in minutes using CLI tools or programmatic APIs. Scale training across thousands of GPUs with reserved clusters and advanced scheduling. Everything integrates natively with existing MLOps pipelines and supports Python, PyTorch, and Hugging Face ecosystems.

What types of AI models does Together AI support?

Over 200 rigorously tested, open-weight models — including Llama 3, Mixtral, Phi-4, Stable Diffusion XL, CLIP, CodeLlama, and Whisper — spanning chat, coding, vision, audio, embeddings, and multimodal reasoning. All models are accessible via standardized APIs and pre-optimized for peak throughput and memory efficiency.

What GPU hardware is available on Together AI?

Access the latest NVIDIA data center GPUs: GB200 Blackwell Superchips, B200, H200, H100, A100, and L40/L40S — each selected and tuned for specific workloads (e.g., FP8 inference, mixed-precision training, or high-bandwidth video generation).

How does Together AI optimize performance and cost?

Through hardware-aware software acceleration: FlashAttention-3 for attention optimization, custom FP8 kernels, QTIP quantization for lossless compression, speculative decoding for 2–3× inference speedup, and intelligent auto-scaling that matches resource allocation to real-time demand — reducing idle time and cloud spend.

Can I fine-tune my own models on Together AI?

Absolutely. Bring any Hugging Face-compatible model — whether standard or custom-architected — and fine-tune using LoRA, QLoRA, or full-parameter methods. You retain full ownership, export weights anytime, and avoid vendor lock-in or hidden licensing fees.

Is Together AI suitable for enterprise use?

Yes. Together AI meets stringent enterprise requirements with SOC 2 Type II and HIPAA compliance, private VPCs, SSO/SAML integration, audit logging, role-based access control (RBAC), and dedicated account engineering support — enabling secure, auditable, and scalable AI deployment across regulated industries.

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