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What is Together AI?

Together AI is a full-stack AI platform designed to accelerate the development and deployment of generative AI models. Built by a team of researchers and engineers, it addresses the challenges of inference speed, cost, and scalability. The platform offers serverless inference, batch inference, dedicated model inference, and container inference for generative media workloads. It also provides fine-tuning capabilities, accelerated compute with GPU clusters, managed storage, and code sandboxes. Core capabilities include cutting-edge research integration, such as FlashAttention-4 and ATLAS runtime-learning accelerators, which deliver up to 4x faster LLM inference. Together AI is trusted by enterprises and researchers for its performance, cost efficiency, and full-stack approach. It fits workflows ranging from experimentation to massive-scale production, serving AI developers, data scientists, and engineering teams.

AI Tool Review Summary

Performance Score

4.7/5

Content/Output Quality

High, consistent, and on-brand

Interface

Clean and minimal

AI Technology
LLMNLPComputer VisionSpeech Recognition
Purpose of Tool

To provide a research-optimized, full-stack AI cloud platform for inference, fine-tuning, and pre-training.

Compatibility

Integrates with major frameworks and offers APIs, SDKs, and GPU clusters for seamless workflow integration.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

Serverless Inference

Batch Inference

Dedicated Model Inference

Fine-Tuning Platform

Accelerated Compute with NVIDIA GPUs

Managed Storage

Code Sandboxes

Research-Driven Optimizations

Who Is It For?

AI Researchers

Machine Learning Engineers

Data Scientists

Startups

Enterprise AI Teams

Generative Media Developers

Open-Source Contributors

Academic Institutions

AI Agents Developers

Large Language Model Users

Pricing

Free

$0/free
  • Serverless inference up to 1M tokens/month
  • Code sandbox limited hours
Popular

Pro

$19/monthly
  • Serverless inference up to 10M tokens/month
  • Batch inference access
  • Priority support

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Pros & Cons

Pros

  • Cutting-edge research directly integrated into platform for superior performance.
  • Comprehensive full-stack solution covering inference, training, and storage.

Cons

  • Pricing details not transparent on website.
  • May have a learning curve for users new to cloud AI platforms.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

Quick Together AI Comparision

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