Keywords AI
CoreWeave vs Together AI
Compare CoreWeave 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 | AI companies and startups that need large-scale GPU clusters for training and inference | Developers and companies deploying open-source AI models in production |
| Website | coreweave.com | together.ai |
| Key Features |
|
|
| Use Cases |
|
|
When to Choose CoreWeave vs Together AI
- Large language model training
- Distributed training across GPU clusters
- High-performance inference at scale
- Hosting open-source LLMs in production
- Fine-tuning models on custom data
- Cost-efficient inference at scale
About CoreWeave
CoreWeave is a specialized cloud provider built from the ground up for GPU-accelerated workloads. Offering NVIDIA H100 and A100 GPUs on demand, CoreWeave provides significantly lower pricing than hyperscalers for AI training and inference. The platform includes Kubernetes-native orchestration, fast networking, and flexible scaling, making it popular with AI labs and startups that need large GPU clusters without long-term commitments.
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 →