About This Site
AI Acceleration Cloud for fast inference, fine-tuning, and training. Together AI is an AI Acceleration Cloud providing an end-to-end platform for the full generative AI lifecycle. It offers fast inference, fine-tuning, and training capabilities for generative AI models using easy-to-use APIs and highly scalable infrastructure. Users can run and fine-tune open-source models, train and deploy models at scale on their AI Acceleration Cloud and scalable GPU clusters, and optimize performance and cost. The platform supports over 200 generative AI models across various modalities like chat, images, code, and more, with OpenAI-compatible APIs.
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Key Features AI
Core Features
Serverless Inference API for open-source models
Dedicated Endpoints for custom hardware deployment
Fine-Tuning (LoRA and full fine-tuning)
Together Chat app for open-source AI
Code Sandbox for AI development environments
Code Interpreter for executing LLM-generated code
GPU Clusters (Instant and Reserved) with NVIDIA GPUs (GB200, B200, H200, H100, A100)
Extensive Model Library (200+ generative AI models)
OpenAI-compatible APIs
Accelerated Software Stack (e.g., FlashAttention-3, custom CUDA kernels)
High-Speed Interconnects (InfiniBand, NVLink)
Robust Management Tools (Slurm, Kubernetes)
Advantages
Offers fast inference, fine-tuning, and training for generative AI models.
Provides highly scalable infrastructure with top-tier NVIDIA GPUs.
Optimizes performance and cost, claiming significantly lower costs than competitors for inference.
Features easy-to-use, OpenAI-compatible APIs for seamless integration.
Grants full model ownership and control over intellectual property, avoiding vendor lock-in.
Integrates cutting-edge AI research and optimizations (e.g., FlashAttention-3, custom kernels).
Supports a vast library of over 200 open-source and specialized generative AI models.
Ensures high reliability with a 99.9% uptime SLA for GPU clusters.
Compliant with SOC 2 and HIPAA standards for secure enterprise deployments.
Offers batch inference with an introductory 50% discount.
缺点：Pricing for NVIDIA GB200 and B200 GPUs, and custom large-scale deployments, requires direct contact, lacking immediate transparency.
缺点：Leveraging advanced features like fine-tuning hyperparameters and custom deployments may require significant technical expertise.
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