Together AI

Together AI

Freemium

Description

Together AI is a leading cloud platform that provides ultra-fast, scalable, and efficient solutions for building, deploying, and optimizing generative AI models. It offers a comprehensive suite of services including inference, fine-tuning, and access to scalable GPU clusters and over 200 open-source models for various applications like chat, images, and code. The platform is designed to make advanced AI capabilities accessible to individual developers, startups, academic researchers, and large enterprises alike.

#AI Acceleration
#Generative AI
#Llms
#Fine Tuning
#Model Deployment
#Open Source AI
#Gpu Cloud
#AI Api
#Machine Learning Infrastructure
#Scalable AI

Features

  • Ultra-fast Inference Engine: Provides industry-leading speed for running AI models, often up to 4x faster than traditional deployments, through proprietary optimizations and technologies like FlashAttention.
  • Comprehensive Model Library: Hosts over 200 open-source and specialized multimodal generative AI models for various tasks, including chat, language, image, and code generation.
  • Custom Model Fine-tuning: Offers full and lightweight fine-tuning capabilities, allowing users to train existing open-source models on their private data with ease, including a browser-based no-code option.
  • Scalable GPU Clusters: Provides flexible and powerful GPU clusters (including NVIDIA H100/H200/GB200) for training, fine-tuning, and deploying AI models at production scale.
  • OpenAI-Compatible APIs: Supports drop-in replacement for proprietary APIs, simplifying the migration process for teams previously using closed platforms and ensuring broad compatibility.

Compatibilities and Integration

  • API Access: Together AI offers a robust API that allows seamless integration with existing applications and systems. It supports OpenAI-compatible endpoints for easy migration.
  • Cloud Platforms: The platform works with major cloud providers and can be deployed in private VPCs (e.g., on AWS EKS) for enhanced data governance and security.
  • Development Frameworks & Tools: It integrates with popular tools and frameworks such as Vercel, Appwrite, Helicone, LlamaIndex, AutoGen, and ONLYOFFICE via its API and SDKs (Python, TypeScript).
  • Custom Data Integration: Together AI supports the use of private datasets for fine-tuning models, enabling users to train existing open-source models with their proprietary data.

Pros

  • Speed and Efficiency: Together AI dramatically reduces training and inference times, offering industry-leading speed for AI workloads through optimized infrastructure and technologies like FlashAttention.
  • Cost-Effectiveness: The platform offers competitive pricing for high-performance AI, with usage-based billing and optimized costs, making advanced AI more accessible compared to other providers.
  • Flexibility and Open-Source Support: Users have access to a wide range of open-source models (over 200) across various modalities, along with the flexibility to build and fine-tune custom models tailored to specific needs.
  • Developer-Friendly APIs: Together AI provides well-documented, OpenAI-compatible APIs and SDKs (Python, TypeScript), enabling seamless integration with existing systems and simplifying AI development for engineers.

Cons

  • Complexity for Beginners: While powerful, the advanced settings and broad capabilities of Together AI may present a steep initial learning curve for new users unfamiliar with large-scale AI model deployment.
  • Resource Intensity: Optimal use of Together AI's capabilities, especially for training and fine-tuning large models, often requires substantial computational resources.
  • Limited Multilingual Focus: Although it supports various models, the platform primarily focuses on English for its core functionalities, which might limit its direct application for some multilingual use cases.

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