CoreWeave vs Fireworks AI
Compare GPU pricing, features, and specifications between CoreWeave and Fireworks AI cloud providers. Find the best deals for AI training, inference, and ML workloads.
CoreWeave
Provider 1
Fireworks AI
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | CoreWeave Price | Fireworks AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
A100 SXM 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
Features Comparison
CoreWeave
- Kubernetes-Native Platform
Purpose-built AI-native platform with Kubernetes-native developer experience
- Latest NVIDIA GPUs
First-to-market access to the latest NVIDIA GPUs including H100, H200, and Blackwell architecture
- Mission Control
Unified security, talent services, and observability platform for large-scale AI operations
- High Performance Networking
High-performance clusters with InfiniBand networking for optimal scale-out connectivity
Fireworks AI
- 400+ Open-Source Models
Instant access to Llama, DeepSeek, Qwen, Mixtral, FLUX, Whisper, and more
- Blazing Fast Inference
Industry-leading throughput and latency processing 140B+ tokens daily
- Fine-Tuning Suite
SFT, DPO, and reinforcement fine-tuning with LoRA efficiency
- OpenAI-Compatible API
Drop-in replacement for easy migration from OpenAI
- On-Demand GPUs
A100, H100, H200, and B200 deployments with per-second billing
- Batch Processing
50% discount for async bulk inference workloads
Pros & Cons
CoreWeave
Advantages
- Extensive selection of NVIDIA GPUs, including latest Blackwell architecture
- Kubernetes-native infrastructure for easy scaling and deployment
- Fast deployment with 10x faster inference spin-up times
- High cluster reliability with 96% goodput and 50% fewer interruptions
Considerations
- Primary focus on North American data centers
- Specialized nature may not suit all general computing needs
- Learning curve for users unfamiliar with Kubernetes
Fireworks AI
Advantages
- Lightning-fast inference with industry-leading response times
- Easy-to-use API with excellent OpenAI compatibility
- Wide variety of optimized open-source models
- Competitive pricing with 50% off cached tokens and batch processing
Considerations
- Limited capacity with some serverless model limits
- Primarily focused on language models over image/video generation
- BYOC only available for major enterprise customers
Compute Services
CoreWeave
GPU Instances
On-demand and reserved GPU instances with latest NVIDIA hardware
CPU Instances
High-performance CPU instances to complement GPU workloads
Fireworks AI
Pricing Options
CoreWeave
On-Demand Instances
Pay-per-hour GPU and CPU instances with flexible scaling
Reserved Capacity
Committed usage discounts up to 60% over on-demand pricing
Transparent Storage
No ingress, egress, or transfer fees for data movement
Fireworks AI
Serverless pay-per-token
Starting at $0.10/1M tokens for small models, $0.90/1M for large models
Cached tokens
50% discount on cached input tokens
Batch processing
50% discount on async bulk inference
On-demand GPUs
Per-second billing from $2.90/hr (A100) to $9.00/hr (B200)
Getting Started
CoreWeave
- 1
Create Account
Sign up for CoreWeave Cloud platform access
- 2
Choose GPU Instance
Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture
- 3
Deploy via Kubernetes
Use Kubernetes-native tools for workload deployment and scaling
Fireworks AI
- 1
Explore Model Library
Browse 400+ models at fireworks.ai/models
- 2
Test in Playground
Experiment with prompts interactively without coding
- 3
Generate API Key
Create an API key from user settings in your account
- 4
Make first API call
Use OpenAI-compatible endpoints or Fireworks SDK
- 5
Scale to production
Transition to on-demand GPU deployments for production workloads
Support & Global Availability
CoreWeave
Global Regions
Deployments across North America with expanding global presence
Support
24/7 support from dedicated engineering teams, comprehensive documentation, and Kubernetes expertise
Fireworks AI
Global Regions
18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise
Support
Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs
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