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Compare GPU and LLM inference API pricing between Google Cloud and Seeweb. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Google Cloud Price | Seeweb Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Seeweb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Seeweb | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • Seeweb | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Seeweb | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Seeweb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Seeweb | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Seeweb | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Seeweb | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Seeweb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Seeweb | Not Available | — | ||
RTX PRO 6000 96GB 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 SXM 80GB VRAM • Seeweb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Seeweb | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • Seeweb | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Seeweb | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Seeweb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Seeweb | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Seeweb | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Seeweb | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Seeweb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Seeweb | Not Available | — | ||
RTX PRO 6000 96GB 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 Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
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.
Hourly billing with no minimum commitment, pay only for what you use
Scale from 1 to 8 GPUs per instance across all available models
Full Terraform support for automated provisioning and management
Native Kubernetes support for orchestrating GPU workloads
High-bandwidth network connectivity for data-intensive 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.
On-demand GPU cloud servers with hourly billing and flexible configurations.
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.
Pay-per-hour billing with no commitment
Discounted hourly rate with 3-month commitment
Further discounted rate with 6-month commitment
Best rate with annual commitment
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.
Register on the Seeweb platform
Choose GPU model and quantity (1, 2, 4, or 8 GPUs)
Launch your cloud GPU server and start using it
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Data centers in Frosinone (Italy), Milan (Italy), Lugano (Switzerland), Zurich (Switzerland), and Sofia (Bulgaria)
24/7/365 support desk with three support tiers