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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 • | ||||
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | 2x GPU | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | 2x GPU | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Cudo Compute | Google Cloud | Input Diff ↕ |
|---|---|---|---|
Google | Not available | $0.150 in $0.600 out | — |
Google | Not available | $0.075 in $0.300 out | — |
Google | Not available | $0.300 in $2.50 out | — |
Google | Not available | $0.100 in $0.400 out | — |
Google | Not available | $1.25 in $10.00 out | — |
Google | Not available | $0.500 in $3.00 out | — |
Google | Not available | $0.250 in $1.50 out | — |
Google | Not available | $2.00 in $12.00 out | — |
Google | Not available | $1.50 in $9.00 out | — |
Google | Not available | $0.300 in $2.50 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Google | Not available | $0.750 in $3.75 out | — |
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
Dedicated access to NVIDIA GPUs including GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 in SXM and PCIe form factors
Multi-node GPU clusters for training and inference, commissioned to acceptance criteria before entering production
Infrastructure across the UK, EU, North America, APAC, and the Middle East with in-region options for latency, residency, and regulatory needs
Foundational SRE included as standard with 24/7 monitoring, incident response, firmware management, and NVIDIA escalation paths
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Controlled environments for enterprise and regulated workloads with jurisdictional control and sovereign data residency enforcement
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.
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
Dedicated multi-node GPU clusters for high-performance training and inference.
InfiniBand and Ethernet fabrics with high-performance storage for cluster workloads.
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 billing for virtual machine instances with no commitment
GPU systems in the published catalog are priced on request, with enquiries handled by the sales team
Consumption-based commercial structures for predictable spend on long-term deployments
Multi-year structures with defined upgrade paths across GPU generations and into multi-site environments
Pay for vCPUs, GPUs, and memory with a one-minute minimum and per-second billing thereafter, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Discounted rates in exchange for a 1-year or 3-year commitment to a minimum level of resource usage in a region, and combinable with reservations.
Spend-based commitments that apply across eligible machine families and regions rather than to specific resources.
Spare capacity at discounted Spot prices for fault-tolerant workloads that can be preempted.
Submit an enquiry from the pricing or contact page describing your workload, capacity, and region requirements.
Select a jurisdiction in the UK, EU, North America, APAC, or the Middle East to meet latency, residency, and compliance needs.
Cudo produces an NVIDIA reference-aligned architecture covering InfiniBand fabric, storage, power, cooling, and rack layout.
Systems are sourced through OEM channels including Dell, Lenovo, Supermicro, and HPE, then installed at power-ready sites against confirmed timelines.
Clusters are commissioned to acceptance criteria and operated with 24/7 monitoring, incident response, and firmware management.
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.
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Enterprise SLAs with 24/7 infrastructure monitoring, L3 incident response, and lifecycle operations delivered by NVIDIA-certified engineers; sales and technical enquiries via the contact page.
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.