Keywords AI

Cerebras vs CoreWeave

Compare Cerebras and CoreWeave side by side. Both are tools in the Inference & Compute category.

Quick Comparison

	Cerebras	CoreWeave
Category	Inference & Compute	Inference & Compute
Pricing	Usage-based	Usage-based
Best For	Enterprises and developers who need the fastest possible LLM inference	AI companies and startups that need large-scale GPU clusters for training and inference
Website	cerebras.net	coreweave.com
Key Features	Wafer-scale inference chips Record-breaking inference speed Simple API deployment Optimized for large language models Custom silicon architecture	Large-scale GPU clusters (H100, A100) InfiniBand networking for distributed training Kubernetes-native orchestration On-demand and reserved capacity Bare-metal performance
Use Cases	Ultra-fast LLM inference Real-time AI applications High-throughput text generation Enterprise inference infrastructure Latency-critical AI deployments	Large language model training Distributed training across GPU clusters High-performance inference at scale AI startup compute infrastructure Batch processing and fine-tuning

When to Choose Cerebras vs CoreWeave

Choose Cerebras if you need

Ultra-fast LLM inference
Real-time AI applications
High-throughput text generation

Pricing: Usage-based

Choose CoreWeave if you need

Large language model training
Distributed training across GPU clusters
High-performance inference at scale

Pricing: Usage-based

About Cerebras

Cerebras builds the world's largest AI chips—wafer-scale processors that contain millions of cores on a single silicon wafer. The Cerebras CS-2 system delivers massive parallelism for AI training and ultra-fast inference for open-source models. Through Cerebras Inference, developers can access some of the fastest LLM inference speeds available, particularly for Llama models.

View Cerebras profile →Visit website

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.

View CoreWeave profile →Visit website

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 →