Seeweb vs TensorWave
Compare GPU pricing, features, and specifications between Seeweb and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.
Seeweb
Provider 1
TensorWave
Provider 2
Comparison Overview
Average Price Difference: $1.05/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Seeweb Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Seeweb |  $1.16/hr★ Best | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Seeweb | $0.34/hr★ Best | Not Available | — | |
A30 24GB VRAM • | ||||
H100 80GB VRAM • Seeweb | $2.22/hr★ Best | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Seeweb | $3.06/hr★ Best | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Seeweb | $0.45/hr★ Best | Not Available | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Seeweb | $1.00/hr★ Best | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • SeewebTensorWave | $2.76/hr |  $1.71/hr★ Best | ↑+$1.05(+61.4%) | |
MI300X 192GB VRAM • Seeweb$2.76/hour Updated: 2/20/2026 TensorWave$1.71/hour Updated: 2/18/2026 ★Best Price Price Difference:↑+$1.05(+61.4%) | ||||
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 • | ||||
RTX 6000 Pro 96GB VRAM • Seeweb | $0.34/hr★ Best | Not Available | — | |
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Seeweb | $0.87/hr★ Best | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
A100 SXM 80GB VRAM • Seeweb | $1.16/hr★ Best | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Seeweb | $0.34/hr★ Best | Not Available | — | |
A30 24GB VRAM • | ||||
H100 80GB VRAM • Seeweb | $2.22/hr★ Best | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Seeweb | $3.06/hr★ Best | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Seeweb | $0.45/hr★ Best | Not Available | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Seeweb | $1.00/hr★ Best | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • SeewebTensorWave | $2.76/hr | $1.71/hr★ Best | ↑+$1.05(+61.4%) | |
MI300X 192GB VRAM • Seeweb$2.76/hour Updated: 2/20/2026 TensorWave$1.71/hour Updated: 2/18/2026 ★Best Price Price Difference:↑+$1.05(+61.4%) | ||||
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 • | ||||
RTX 6000 Pro 96GB VRAM • Seeweb | $0.34/hr★ Best | Not Available | — | |
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Seeweb | $0.87/hr★ Best | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
Features Comparison
Seeweb
- Pay Per Use Billing
Hourly billing with no minimum commitment, pay only for what you use
- Multi-GPU Configurations
Scale from 1 to 8 GPUs per instance across all available models
- Infrastructure as Code
Full Terraform support for automated provisioning and management
- Kubernetes Integration
Native Kubernetes support for orchestrating GPU workloads
- 10 Gbps Networking
High-bandwidth network connectivity for data-intensive workloads
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
Seeweb
Advantages
- Competitive European GPU pricing with no minimum commitment
- Wide range of GPUs from L4 to H200 and AMD MI300X
- 99.99% uptime guarantee
- European data centers for GDPR-compliant workloads
Considerations
- Primarily European data center presence
- Pricing listed in EUR (no native USD billing)
- Smaller provider compared to hyperscalers
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
Seeweb
Cloud Server GPU
On-demand GPU cloud servers with hourly billing and flexible configurations.
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
Seeweb
On-Demand (Hourly)
Pay-per-hour billing with no commitment
3-Month Commitment
Discounted hourly rate with 3-month commitment
6-Month Commitment
Further discounted rate with 6-month commitment
12-Month Commitment
Best rate with annual commitment
TensorWave
Getting Started
Seeweb
- 1
Create Account
Register on the Seeweb platform
- 2
Select GPU Configuration
Choose GPU model and quantity (1, 2, 4, or 8 GPUs)
- 3
Deploy Server
Launch your cloud GPU server and start using it
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
Seeweb
Global Regions
Data centers in Frosinone (Italy), Milan (Italy), Lugano (Switzerland), Zurich (Switzerland), and Sofia (Bulgaria)
Support
24/7/365 support desk with three support tiers
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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