Keywords AI

CoreWeave vs Fireworks AI

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

Quick Comparison

	CoreWeave	Fireworks AI
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 deploying open-source models who need fast, reliable, and cost-efficient inference
Website	coreweave.com	fireworks.ai
Key Features	Large-scale GPU clusters (H100, A100) InfiniBand networking for distributed training Kubernetes-native orchestration On-demand and reserved capacity Bare-metal performance	Optimized inference for open-source models Function calling and JSON mode Fast iteration with model playground Competitive pricing Enterprise deployment options
Use Cases	Large language model training Distributed training across GPU clusters High-performance inference at scale AI startup compute infrastructure Batch processing and fine-tuning	Production inference for open-source LLMs Fine-tuned model deployment Low-latency AI applications Compound AI systems Cost-optimized inference

When to Choose CoreWeave vs Fireworks AI

Choose CoreWeave if you need

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

Pricing: Usage-based

Choose Fireworks AI if you need

Production inference for open-source LLMs
Fine-tuned model deployment
Low-latency AI applications

Pricing: Usage-based

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

About Fireworks AI

Fireworks AI is a generative AI inference platform that offers fast, cost-efficient model serving. The platform hosts popular open-source models and supports custom model deployments with optimized inference using proprietary serving technology. Fireworks specializes in compound AI systems with features like function calling, JSON mode, and grammar-guided generation that make it easy to build structured AI applications.

View Fireworks AI 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 →