Compare CoreWeave and Vast.ai side by side. Both are tools in the Inference & Compute category.
Updated March 10, 2026
Choose CoreWeave if significantly lower GPU pricing compared to AWS, Azure, and GCP hyperscalers.
Choose Vast.ai if production-ready platform.
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Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| 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 | vast.ai |
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CoreWeave is a specialized cloud infrastructure provider founded in 2017 in New Jersey by Michael Intrator, Brian Venturo, Brannin McBee, and Peter Salanki. Originally started by three commodities traders, CoreWeave has grown into a leading GPU cloud platform built specifically for AI and machine learning workloads. Based in Livingston, New Jersey, with approximately 1,871 employees as of January 2026, CoreWeave offers on-demand access to NVIDIA H100 and A100 GPUs with significantly lower pricing than traditional hyperscalers. The platform provides Kubernetes-native orchestration, fast networking, and flexible scaling, making it popular with AI labs, research institutions, and startups that need large GPU clusters without long-term commitments. CoreWeave's infrastructure is designed from the ground up for GPU-accelerated workloads, offering up to 60% discounts over on-demand prices for committed usage, with transparent pricing that doesn't charge for data egress, IOPS, or core networking services.
AI platform providing comprehensive solutions for enterprise applications. The platform offers robust features for production AI deployment with focus on scalability, reliability, and developer experience. Suitable for teams building modern AI systems at scale.
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.
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