Keywords AI
CoreWeave vs Replicate
Compare CoreWeave and Replicate side by side. Both are tools in the Inference & Compute category.
Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | Usage-based | — |
| Best For | AI companies and startups that need large-scale GPU clusters for training and inference | — |
| Website | coreweave.com | replicate.com |
| Key Features |
| — |
| Use Cases |
| — |
When to Choose CoreWeave vs Replicate
- Large language model training
- Distributed training across GPU clusters
- High-performance 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 Replicate
Replicate is a platform for running AI models in the cloud with a simple API. It hosts thousands of open-source models including Llama, Stable Diffusion, and Whisper, letting developers run them with a single API call. Replicate handles GPU provisioning, scaling, and model optimization automatically.
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 →