RunPod vs TensorWave
Compare GPU pricing, features, and specifications between RunPod and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.
RunPod
Provider 1
TensorWave
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | RunPod Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • RunPod |  $0.60/hr★ Best | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | $0.79/hr★ Best | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • RunPod | $0.06/hr★ Best | Not Available | — | |
A2 16GB VRAM • | ||||
A30 24GB VRAM • RunPod | $0.11/hr★ Best | Not Available | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • RunPod | $0.40/hr★ Best | Not Available | — | |
A40 48GB VRAM • | ||||
B200 192GB VRAM • RunPod | $5.98/hr★ Best | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • RunPod | $1.50/hr★ Best | Not Available | — | |
H100 80GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | $1.40/hr★ Best | Not Available | — | |
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | $1.35/hr★ Best | Not Available | — | |
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | $3.59/hr★ Best | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | $6.19/hr★ Best | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | $0.69/hr★ Best | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | $0.40/hr★ Best | 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 • | ||||
A100 PCIE 40GB VRAM • RunPod | $0.60/hr★ Best | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | $0.79/hr★ Best | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • RunPod | $0.06/hr★ Best | Not Available | — | |
A2 16GB VRAM • | ||||
A30 24GB VRAM • RunPod | $0.11/hr★ Best | Not Available | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • RunPod | $0.40/hr★ Best | Not Available | — | |
A40 48GB VRAM • | ||||
B200 192GB VRAM • RunPod | $5.98/hr★ Best | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • RunPod | $1.50/hr★ Best | Not Available | — | |
H100 80GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | $1.40/hr★ Best | Not Available | — | |
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | $1.35/hr★ Best | Not Available | — | |
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | $3.59/hr★ Best | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | $6.19/hr★ Best | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | $0.69/hr★ Best | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | $0.40/hr★ Best | 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 • | ||||
Features Comparison
RunPod
- Secure Cloud GPUs
Access to a wide range of GPU types with enterprise-grade security
- Pay-as-you-go
Only pay for the compute time you actually use
- API Access
Programmatically manage your GPU instances via REST API
- Fast cold-starts
Pods typically ready in 20-30 s
- Hot-reload dev loop
SSH & VS Code tunnels built-in
- Spot-to-on-demand fallback
Automatic migration on pre-empt
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
RunPod
Advantages
- Competitive pricing with pay-per-second billing
- Wide variety of GPU options
- Simple and intuitive interface
Considerations
- GPU availability can vary by region
- Some features require technical knowledge
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
RunPod
Pods
On‑demand single‑node GPU instances with flexible templates and storage.
Instant Clusters
Spin up multi‑node GPU clusters in minutes with auto networking.
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
RunPod
TensorWave
Getting Started
RunPod
- 1
Create an account
Sign up for RunPod using your email or GitHub account
- 2
Add payment method
Add a credit card or cryptocurrency payment method
- 3
Launch your first pod
Select a template and GPU type to launch your first instance
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
RunPod
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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