Keywords AI
CoreWeave vs Groq
Compare CoreWeave and Groq side by side. Both are tools in the Inference & Compute category.
Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | Usage-based | Freemium |
| Best For | AI companies and startups that need large-scale GPU clusters for training and inference | Developers building real-time AI applications where inference speed is the top priority |
| Website | coreweave.com | groq.com |
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When to Choose CoreWeave vs Groq
- Large language model training
- Distributed training across GPU clusters
- High-performance inference at scale
- Real-time AI applications needing lowest latency
- Interactive conversational AI
- High-throughput batch inference
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 Groq
Groq builds custom AI inference chips (Language Processing Units / LPUs) designed for extremely fast token generation. Groq's cloud platform offers the fastest inference speeds in the market, generating hundreds of tokens per second for models like Llama and Mixtral. The company's hardware architecture eliminates the memory bandwidth bottleneck that limits GPU-based inference, making it ideal for real-time and latency-sensitive AI applications.
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 →