Keywords AI
RunPod vs Together AI
Compare RunPod and Together AI side by side. Both are tools in the Inference & Compute category.
Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | Usage-based | Usage-based |
| Best For | Individual developers and small teams who need affordable GPU computing | Developers and companies deploying open-source AI models in production |
| Website | runpod.io | together.ai |
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When to Choose RunPod vs Together AI
- Cost-efficient model training
- Serverless inference endpoints
- AI development and experimentation
- Hosting open-source LLMs in production
- Fine-tuning models on custom data
- Cost-efficient inference at scale
About RunPod
RunPod is a cloud GPU platform offering on-demand and spot GPU instances for AI training, inference, and development. Known for competitive pricing and a simple developer experience, RunPod provides NVIDIA A100, H100, and consumer-grade GPUs with serverless endpoints, persistent storage, and Docker-based environments. Popular with indie developers, researchers, and startups for running Stable Diffusion, LLM fine-tuning, and custom AI workloads.
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 →