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Compare GPU and LLM inference API pricing between Cudo Compute and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Cudo Compute Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A40 48GB VRAM • Cudo Compute | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 PCIe 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX A5000 24GB VRAM • Cudo Compute | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Cudo Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A40 48GB VRAM • Cudo Compute | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 PCIe 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX A5000 24GB VRAM • Cudo Compute | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Cudo Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
On-demand and reserved GPU capacity with latest NVIDIA models including H200, H100, A100 80 GB, L40S, and legacy options like V100 and A40
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Design and manage GPU facilities powered by NVIDIA GB300 NVL72, B300 and GB200 systems for production-ready AI infrastructure
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
CPU and GPU-backed VMs for general workloads and AI inference.
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Hourly per-GPU pricing with published rates by data center and GPU model
Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply
Dedicated hardware and multi-node clusters priced per reservation with private networking options
Pay for compute capacity per hour or per second, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Save up to 80% for fault-tolerant workloads that can be interrupted.
Sign up and log into the Cudo Compute console.
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Data centers listed across Manchester (UK), Stockholm and Kristiansand (Nordics), Lagos (Nigeria), and US sites including Carlsbad, Dallas, and New York, with additional locations in the catalog.
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.