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Compare GPU and LLM inference API pricing between Google Cloud and Oblivus. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Google Cloud Price | Oblivus Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Oblivus | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • Oblivus | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX 4090 24GB VRAM • Oblivus | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Oblivus | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
A100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Oblivus | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • Oblivus | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX 4090 24GB VRAM • Oblivus | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Oblivus | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
| Model ↑ | Google Cloud | Oblivus | Input Diff ↕ |
|---|---|---|---|
Google | $1.50 in $7.50 out | Not available | — |
Google | $1.50 in $7.50 out | Not available | — |
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.
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.
Per-GPU rates published for each instance type, with multi-GPU pricing scaling linearly
H100 SXM5, NVLink and PCIe SKUs published separately for tradeoffs in interconnect
Significant savings versus on-demand for longer-term commitments
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.
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.
Hourly billing with multi-GPU pricing scaling linearly from per-GPU rates
Discounted longer-term commitments, with savings around 25–50% versus on-demand depending on GPU
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.
Sign up at the Oblivus console
Choose an on-demand instance or request a reservation
Provision via console or API and connect over SSH
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Data centers across multiple regions
Documentation and ticket-based support