On-Demand GPU
Starting at $4.76
Per hour (H100 PCIe)
- Pay-as-you-go pricing
- Immediate availability
- No commitments
- Free data egress
- Free VPC setup
CoreWeave — Inference & Compute Platform
Founded 2017|Livingston, NJ|1001-5000 people|Usage-based
What is CoreWeave?
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.
Key features
Core capabilities this platform advertises.
- Large-scale GPU clusters (H100, A100)
- InfiniBand networking for distributed training
- Kubernetes-native orchestration
- On-demand and reserved capacity
- Bare-metal performance
Strengths and tradeoffs
What this tool does well, and the limitations to keep in mind.
Pros
- Significantly lower GPU pricing compared to AWS, Azure, and GCP hyperscalers
- Purpose-built for AI workloads with optimized networking and Kubernetes orchestration
- Transparent pricing with no hidden fees for data egress or core services
- Up to 60% discounts available for committed usage, excellent for predictable workloads
Cons
- No free tier or trial period, requiring upfront payment commitment
- Smaller ecosystem compared to major cloud providers may limit integration options
- Less mature than hyperscalers in terms of managed services and tooling
- À la carte pricing model requires careful calculation of total costs including CPU and RAM
Plans & pricing
What's included in each plan, and how the tiers compare.
Committed Usage
Custom
Per hour
- Up to 60% discount
- Reserved capacity
- Predictable pricing
- Priority support
- Custom terms
Common use cases
AI companies and startups that need large-scale GPU clusters for training and inference
- Large language model training
- Distributed training across GPU clusters
- High-performance inference at scale
- AI startup compute infrastructure
- Batch processing and fine-tuning
Using CoreWeave with Respan
CoreWeave and Respan together provide powerful GPU infrastructure with comprehensive AI observability. Run your models on CoreWeave's cost-effective GPUs while monitoring performance and costs with Respan.
- Track costs across CoreWeave GPU instances to optimize your compute spending
- Monitor model inference performance on CoreWeave infrastructure with Respan's detailed metrics
- Compare GPU utilization and LLM costs across CoreWeave and other cloud providers
- Debug model performance issues by correlating Respan traces with CoreWeave resource metrics
Best CoreWeave alternatives & competitors
Top companies in Inference & Compute you can use instead of CoreWeave.
NVIDIA
H100 and B200 GPU clusters
llama.cpp
GGUF universal model format (weights + tokenizer + metadata in one file)
Groq
Custom LPU inference chips
Together AI
Inference and training cloud
Nebius
GPT4All
LocalDocs — chat with your local files using built-in RAG
Fal.ai
Media inference
Lambda
NVIDIA GPU cloud instances
Anyscale
Plano
Cerebras
Wafer-scale inference chips
Fireworks AI
Optimized inference for open-source models
Modal
Serverless cloud for AI
Prime Intellect
Decentralized distributed AI training
Replicate
Hyperbolic
DePIN
RunPod
On-demand GPU instances
DigitalOcean
GPU droplets
Vultr
GPU cloud
SambaNova
Baseten
Vast.ai
Novita AI
RunAnywhere
On-device AI deployment
Klaus AI
OpenClaw model hosting
Cumulus Labs
Multimodal inference optimization
Piris Labs
Cerebras-class speed
Compare CoreWeave
Side-by-side comparisons with other tools in this category.
Best integrations for CoreWeave
Companies from adjacent layers in the AI stack that work well with CoreWeave.
Last verified: March 9, 2026