CoreWeave vs TensorWave
Compare GPU pricing, features, and specifications between CoreWeave and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.
CoreWeave
Provider 1
TensorWave
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | CoreWeave Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • CoreWeave |  $21.60/hr★ Best8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | $68.80/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | $42.00/hr★ Best 41x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | $6.50/hr★ Best | Not Available | — | |
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | $49.24/hr★ Best 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | $50.44/hr★ Best 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | $10.00/hr★ Best 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | $18.00/hr★ Best 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available |  $1.71/hr★ Best | — | |
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | $2.25/hr★ Best | — | |
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | $2.95/hr★ Best | — | |
MI355X 288GB VRAM • | ||||
A100 SXM 80GB VRAM • CoreWeave | $21.60/hr★ Best 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | $68.80/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | $42.00/hr★ Best 41x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | $6.50/hr★ Best | Not Available | — | |
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | $49.24/hr★ Best 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | $50.44/hr★ Best 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | $10.00/hr★ Best 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | $18.00/hr★ Best 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | $1.71/hr★ Best | — | |
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | $2.25/hr★ Best | — | |
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | $2.95/hr★ Best | — | |
MI355X 288GB 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
TensorWave
- AMD Instinct Accelerators
Powered by AMD Instinct™ Series GPUs for high-performance AI workloads.
- High VRAM GPUs
Offers instances with 192GB of VRAM per GPU, ideal for large models.
- Bare Metal & Kubernetes
Provides both bare metal servers for maximum control and managed Kubernetes for orchestration.
- Direct Liquid Cooling
Utilizes direct liquid cooling to reduce data center energy costs and improve efficiency.
- High-Speed Network Storage
Features high-speed network storage to support demanding AI pipelines.
- ROCm Software Ecosystem
Leverages the AMD ROCm open software ecosystem to avoid vendor lock-in.
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
TensorWave
Advantages
- Specialized in high-performance AMD GPUs
- Offers GPUs with large VRAM (192GB)
- Claims better price-to-performance than competitors
- Provides 'white-glove' onboarding and support
Considerations
- A newer and less established company (founded in 2023)
- Exclusively focused on AMD, which may be a limitation for some users
- Limited publicly available information on pricing
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
TensorWave
AMD GPU Instances
Bare metal servers and managed Kubernetes clusters with AMD Instinct GPUs.
Managed Kubernetes
Kubernetes clusters for orchestrated AI workloads.
- Scalable from 8 to 1024 GPUs
- Interconnected with 3.2TB/s RoCE v2 networking
Inference Platform (Manifest)
An enterprise inference platform designed for larger context windows and reduced latency.
- Accelerated reasoning
- Secure and private data storage
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
TensorWave
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
TensorWave
- 1
Request Access
Sign up on the TensorWave website to get access to their platform.
- 2
Choose a Service
Select between Bare Metal servers or a managed Kubernetes cluster.
- 3
Follow Quickstarts
Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.
- 4
Deploy Your Model
Deploy your AI model for training, fine-tuning, or inference.
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
TensorWave
Global Regions
Primary data center and headquarters are located in Las Vegas, Nevada. The company is building the largest AMD-specific AI training cluster in North America.
Support
Offers 'white-glove' onboarding and support, extensive documentation, and a company blog.
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