Civo vs TensorWave
Compare GPU pricing, features, and specifications between Civo and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.
Civo
Provider 1
TensorWave
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Civo Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Civo | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Civo | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
H100 80GB VRAM • Civo | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Civo | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Civo | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
A100 PCIE 40GB VRAM • Civo | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Civo | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
H100 80GB VRAM • Civo | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Civo | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Civo | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
Features Comparison
Civo
- Fast Kubernetes
K3s-based managed clusters that typically launch in under 90 seconds
- GPU Cloud
NVIDIA B200, H200, H100 (PCIe/SXM), L40S, and A100 options for AI training and inference
- Public and Private Cloud
Public regions plus private cloud with CivoStack and FlexCore appliances for sovereignty needs
- Predictable Pricing
Transparent hourly rates with no control-plane fees and straightforward egress costs
- Developer Tooling
CLI, API, Terraform provider, and Helm-ready clusters out of the box
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
Civo
Advantages
- Very fast cluster provisioning and simple developer UX
- Clear pricing with no managed control-plane charges
- Range of modern NVIDIA GPUs including B200/H200
- Supports both Kubernetes clusters and standalone GPU compute
Considerations
- Smaller global region footprint than hyperscalers
- GPU capacity can be limited depending on region
- Fewer managed services compared to larger clouds
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
Civo
Managed Kubernetes
K3s-based managed Kubernetes with fast launch times and built-in load balancers, ingress, and CNI.
- Clusters typically ready in under 90 seconds
- Built-in CNI and ingress with no control-plane fee
GPU Compute
On-demand NVIDIA GPU instances for AI training, inference, and 3D 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
Civo
On-Demand GPU Instances
Hourly pricing for GPU compute with simple, per-accelerator rates
Pay-as-you-go Kubernetes
Node-based billing with free control plane and straightforward bandwidth pricing
Private Cloud Reservations
Dedicated CivoStack or FlexCore deployments for sovereignty and predictable spend
TensorWave
Getting Started
Civo
- 1
Create an account
Sign up and claim the trial credit to explore the platform
- 2
Pick a region
Choose London, Frankfurt, or New York for public cloud deployments
- 3
Launch a cluster or GPU node
Create a Kubernetes cluster or start GPU compute with your preferred accelerator
- 4
Deploy your workload
Use kubectl, Helm, or Civo CLI to ship apps or ML stacks
- 5
Monitor and scale
Scale node pools, add GPU nodes, and watch usage from the dashboard or API
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
Civo
Global Regions
Public regions in London (LON1), Frankfurt (FRA1), and New York (NYC1); private cloud available globally via CivoStack/FlexCore.
Support
Documentation, community Slack, and ticketed/email support with account team options for enterprise customers.
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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