CoreWeave vs UpCloud
Compare GPU pricing, features, and specifications between CoreWeave and UpCloud cloud providers. Find the best deals for AI training, inference, and ML workloads.
CoreWeave
Provider 1
UpCloud
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | CoreWeave Price | UpCloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GB300 576GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
GB300 576GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | 2x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | 2x 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 | 41x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GB300 576GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
GB300 576GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | 2x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | 2x 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
UpCloud
- Dedicated GPUs
No shared hardware — each GPU is always dedicated to a single server with full performance isolation
- 100% Renewable Energy
Helsinki data center powered entirely by renewable energy with up to 90% waste heat recovery for district heating
- European Data Sovereignty
GDPR-compliant infrastructure in Finland with strong jurisdictional protections and no third-party dependencies
- Zero-Cost Data Transfer
No egress fees — outbound data transfer is included at no extra cost
- Usage-Based Billing
Pay only for active compute time with hourly billing, no rigid contracts or long-term commitments required
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
UpCloud
Advantages
- 100% renewable energy with waste heat recovery — strong sustainability credentials
- Zero-cost egress eliminates surprise data transfer bills
- GDPR-compliant EU data sovereignty in Finland
- Dedicated GPUs with no shared hardware
Considerations
- GPU servers only available in Helsinki — no multi-region GPU presence
- Limited to NVIDIA L40S for public cloud (H200 NVL only via private cloud)
- No NVLink or MIG support — inter-GPU communication limited to PCIe 4.0
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
UpCloud
GPU Servers
On-demand NVIDIA L40S GPU instances with dedicated hardware and AMD EPYC 9575F processors
Private Cloud GPUs
Dedicated private cloud infrastructure with NVIDIA L4, L40S, and H200 NVL GPUs
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
UpCloud
On-Demand GPU Servers
Hourly billing for L40S GPU instances with no upfront commitment — pay only for active compute time
Private Cloud GPUs
Fixed monthly pricing for dedicated private cloud GPU infrastructure with L4, L40S, and H200 NVL
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
UpCloud
- 1
Create an UpCloud account
Sign up at upcloud.com and complete account verification
- 2
Select a GPU server plan
Choose from 1x, 2x, or 3x L40S configurations with varying vCPU and RAM options
- 3
Deploy with AI/ML template
Use pre-configured GPU Ubuntu templates to get started quickly with CUDA and ML frameworks
- 4
Attach storage
Add block storage devices (1 GB–4 TB each) from any storage tier for your operating system and data
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
UpCloud
Global Regions
Helsinki, Finland (Telia Helsinki Data Center)
Support
Documentation, API reference, and support team available through the UpCloud control panel
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