Keywords AI
Anyscale vs Together AI
Compare Anyscale and Together AI side by side. Both are tools in the Inference & Compute category.
Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | — | Usage-based |
| Best For | — | Developers and companies deploying open-source AI models in production |
| Website | anyscale.com | together.ai |
| Key Features | — |
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| Use Cases | — |
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When to Choose Anyscale vs Together AI
- Hosting open-source LLMs in production
- Fine-tuning models on custom data
- Cost-efficient inference at scale
About Anyscale
Anyscale is the company behind Ray, the open-source distributed computing framework used by OpenAI, Uber, and Spotify for scaling AI workloads. Anyscale's platform provides managed Ray clusters for distributed training, batch inference, and model serving, making it easy to scale AI applications across hundreds of GPUs.
About Together AI
Together AI provides a cloud platform for running, fine-tuning, and training open-source AI models. The platform hosts popular models like Llama, Mistral, and Stable Diffusion with optimized inference that delivers fast generation at competitive prices. Together AI also offers GPU clusters for custom training jobs and has contributed to several breakthrough open-source AI research projects.
What is Inference & Compute?
Platforms that provide GPU compute, model hosting, and inference APIs. These companies serve open-source and third-party models, offer optimized inference engines, and provide cloud GPU infrastructure for AI workloads.
Browse all Inference & Compute tools →