Neo Cloud Providers Comparison
Compare GPU-first and AI-native cloud providers - GPU availability, pricing, performance, and specialized AI infrastructure.
TL;DR
Comparing CoreWeave, Lambda, Together AI, Crusoe Cloud, Voltage Park, RunPod across 40 features in 8 categories.
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| Feature |  CoreWeave |  Lambda |  Together AI |  Crusoe Cloud |  Voltage Park |  RunPod |
|---|---|---|---|---|---|---|
| General | ||||||
| Headquarters | Livingston, NJ | San Francisco, CA | San Francisco, CA | San Francisco, CA | San Francisco, CA | Cherry Hill, NJ |
| Founded | 2017 | 2012 | 2022 | 2018 | 2023 | 2022 |
| Company Type | Private (~$35B valuation) | Private (~$1.5B valuation) | Private (~$3.3B valuation) | Private (~$10B valuation) | Private | Private (~$500M+ valuation) |
| Total Funding | ~$12B+ (debt + equity) | ~$800M+ | ~$400M+ | ~$1.4B+ (Series E) | ~$100M+ | ~$20M+ |
| Business Model | GPU cloud IaaS (bare metal & VMs) | GPU cloud + on-prem GPU servers | AI inference & training API platform | Clean-energy GPU cloud | GPU-as-a-service marketplace | Serverless GPU cloud for AI |
| Target Customers | AI labs, enterprises, hyperscalers | ML researchers, startups, enterprises | AI developers, startups, researchers | AI companies, enterprises | Startups, researchers, AI companies | Indie developers, startups, researchers |
| GPU Availability | ||||||
| Nvidia H100 | ||||||
| Nvidia H200 | Limited | |||||
| Nvidia B200 (Blackwell) | Coming 2025-2026 | Coming 2026 | Coming 2026 | Coming 2026 (GB200) | TBD | TBD |
| Nvidia A100 | ||||||
| Nvidia L40S / L4 | ||||||
| Consumer GPUs (RTX 4090, etc.) | ||||||
| Total GPU Fleet Size(?) | 100,000+ H100s (growing to 250K+) | 10,000+ H100s | Thousands (not disclosed exactly) | Planned 400,000 GB200s (Abilene) | Thousands of H100s | Thousands (community + owned) |
| Pricing | ||||||
| H100 On-Demand (per GPU/hr) | ~$2.23/hr | ~$1.99/hr | ~$2.50/hr (dedicated) | ~$2.35/hr | ~$1.89/hr | ~$2.49/hr |
| A100 80GB On-Demand (per GPU/hr) | ~$1.28/hr | ~$1.10/hr | ~$1.25/hr | ~$1.20/hr | ~$0.99/hr | ~$1.64/hr |
| Reserved / Contract Pricing | 1-3 year contracts (significant discount) | Reserved instances available | Custom enterprise pricing | Long-term contracts available | Flexible commitments | Savings Plans available |
| Spot / Interruptible | ||||||
| Serverless (Pay-per-token/sec) | ||||||
| Price Competitiveness(?) | ~50-70% cheaper than hyperscalers | ~60-75% cheaper than hyperscalers | Competitive for inference APIs | ~50-65% cheaper than hyperscalers | ~60-80% cheaper than hyperscalers | ~50-70% cheaper than hyperscalers |
| AI Services & Features | ||||||
| Managed Inference API | ||||||
| Model Fine-tuning Service | ||||||
| Pre-built Model Catalog | 100+ open source models (Llama, Mistral, etc.) | Community templates | ||||
| Bare Metal Servers | ||||||
| Virtual Machines | Dedicated endpoints | GPU Pods | ||||
| Kubernetes Native | ||||||
| On-Prem GPU Servers (Purchase)(?) | ||||||
| Networking & Storage | ||||||
| InfiniBand(?) | Limited | |||||
| RDMA Support(?) | Limited | |||||
| NVLink / NVSwitch | ||||||
| High-Performance Storage | NVMe SSD, shared filesystems | NVMe SSD, persistent storage | Managed (transparent to user) | NVMe SSD, object storage | NVMe SSD | Network volumes, NVMe pods |
| Object Storage | ||||||
| Infrastructure & Regions | ||||||
| Data Center Locations | US (NJ, TX, IL, WA), Europe (London, Norway) | US (TX, UT, AZ) | US-based | US (TX, WY), Iceland | US-based | US, EU (distributed community + owned) |
| Number of Regions | 6+ | 3+ | 1-2 | 3+ | 1-2 | 10+ (incl. community) |
| Clean / Renewable Energy | Partial (varies by location) | Not emphasized | Not emphasized | Not emphasized | Not emphasized | |
| Uptime SLA | 99.9%+ | 99.9% | 99.9% (API) | 99.9%+ | Best effort | 99.9% (varies by tier) |
| Notable Customers & Partnerships | ||||||
| Key Customers | Microsoft, Nvidia, Cohere, Stability AI | ML researchers, universities, startups | Scale AI, Stanford HAI, Hugging Face | AI labs, enterprise GPU tenants | AI startups, researchers | Indie AI developers, Stable Diffusion community |
| Strategic Investors | Nvidia, Microsoft, Magnetar, Coatue, Cisco | G Squared, Gradient Ventures (Google) | Nvidia, Salesforce, Kleiner Perkins | Nvidia, Fidelity, Mubadala | Not publicly disclosed | Dell Technologies Capital, Intel Capital |
| Nvidia Partnership | Preferred cloud partner, DGX Cloud | Cloud partner, hardware reseller | Investor + GPU partner | Strategic investor | GPU customer | GPU customer |
| Key Differentiators | ||||||
| Primary Strength | Largest independent GPU cloud; Nvidia-preferred; enterprise-grade Kubernetes | Simplicity + best GPU cloud pricing; also sells on-prem servers | Best platform for open-source model inference + fine-tuning APIs | Clean energy powered; vertically integrated (energy + compute) | Lowest-cost H100 access; flexible commitments | Most accessible GPU cloud; serverless + community marketplace |
| Best For | Large-scale AI training, enterprise GPU infrastructure | ML researchers and teams wanting simple, affordable GPU access | Developers building AI apps with open-source models | AI companies wanting sustainable, clean-energy compute | Budget-conscious teams needing bulk H100 access | Individual developers, hobbyists, small teams, inference workloads |
Frequently Asked Questions
What is the difference between CoreWeave and Lambda?
CoreWeave and Lambda are both leading tools in this category but serve different use cases. Our comparison breaks down their differences across performance, pricing, reliability, and ease of use — so you can pick the right one for your workflow.
Which is better: CoreWeave or Lambda?
The answer depends on your use case. CoreWeave typically excels for users who prioritise ecosystem integrations and ease of onboarding. Lambda tends to lead on performance depth. See our full score breakdown and "choose if" guide above for a definitive recommendation.
How is We Compare AI's comparison data collected?
All data is collected independently by our team of AI specialists using a standardised benchmark methodology. We test each tool directly, track public pricing from official sources, and update scores when models release significant updates. No vendor pays to appear or influence their ranking.
How does CoreWeave compare to Together AI?
CoreWeave and Together AI target overlapping use cases but differ in pricing models and feature sets. Our comparison table above includes Together AI alongside CoreWeave and Lambda so you can evaluate all options side by side.
Is there a free version of CoreWeave?
Most major AI tools including CoreWeave offer a free tier with usage limits. Check our pricing comparison above for exact plan details, token limits, and cost-per-million-token breakdowns for CoreWeave, Lambda, Together AI, Crusoe Cloud, Voltage Park, RunPod.
Last updated: 2026-02-11 · How we collect data →