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 logo

Civo

Provider 1

5
GPUs Available
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TensorWave logo

TensorWave

Provider 2

2
GPUs Available
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Comparison Overview

7
Total GPU Models
Civo logo
5
Civo GPUs
TensorWave logo
2
TensorWave GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 7Both available: 0Civo: 5TensorWave: 2
Showing 7 of 7 GPUs
Last updated: 1/13/2026, 10:05:26 AM
A100 PCIE
40GB VRAM •
CivoCivo
$1.09/hour
Updated: 5/15/2025
Best Price
Not Available
A100 SXM
80GB VRAM •
CivoCivo
$14.32/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
H100
80GB VRAM •
CivoCivo
$19.92/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
H200
141GB VRAM •
CivoCivo
$27.92/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
L40S
48GB VRAM •
CivoCivo
$10.32/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
MI300X
192GB VRAM •
Not Available
TensorWaveTensorWave
$1.50/hour
Updated: 6/2/2025
Best Price
MI325X
256GB VRAM •
Not Available
TensorWaveTensorWave
$2.25/hour
Updated: 6/2/2025
Best Price

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

  1. 1
    Create an account

    Sign up and claim the trial credit to explore the platform

  2. 2
    Pick a region

    Choose London, Frankfurt, or New York for public cloud deployments

  3. 3
    Launch a cluster or GPU node

    Create a Kubernetes cluster or start GPU compute with your preferred accelerator

  4. 4
    Deploy your workload

    Use kubectl, Helm, or Civo CLI to ship apps or ML stacks

  5. 5
    Monitor and scale

    Scale node pools, add GPU nodes, and watch usage from the dashboard or API

TensorWave

Get Started
  1. 1
    Request Access

    Sign up on the TensorWave website to get access to their platform.

  2. 2
    Choose a Service

    Select between Bare Metal servers or a managed Kubernetes cluster.

  3. 3
    Follow Quickstarts

    Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.

  4. 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.