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Compare GPU and LLM inference API pricing between AtmosCompute and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | AtmosCompute Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A40 48GB VRAM • AtmosCompute | Not Available | — | ||
A40 48GB VRAM • | ||||
H200 141GB VRAM • AtmosCompute | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • AtmosCompute | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX 3090 Ti 24GB VRAM • AtmosCompute | Not Available | — | ||
RTX 3090 Ti 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4070 12GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4070 12GB VRAM • | ||||
RTX 4070 Ti 12GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4070 Ti 12GB VRAM • | ||||
RTX 4080 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4080 16GB VRAM • | ||||
RTX 4080 SUPER 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4080 SUPER 16GB VRAM • | ||||
RTX 5060 12GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5060 12GB VRAM • | ||||
RTX 5070 Ti 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5070 Ti 16GB VRAM • | ||||
RTX 5080 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5080 16GB VRAM • | ||||
RTX 5090 32GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • AtmosCompute | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A4500 20GB VRAM • AtmosCompute | Not Available | — | ||
RTX A4500 20GB VRAM • | ||||
A40 48GB VRAM • AtmosCompute | Not Available | — | ||
A40 48GB VRAM • | ||||
H200 141GB VRAM • AtmosCompute | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • AtmosCompute | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX 3090 Ti 24GB VRAM • AtmosCompute | Not Available | — | ||
RTX 3090 Ti 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4070 12GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4070 12GB VRAM • | ||||
RTX 4070 Ti 12GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4070 Ti 12GB VRAM • | ||||
RTX 4080 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4080 16GB VRAM • | ||||
RTX 4080 SUPER 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4080 SUPER 16GB VRAM • | ||||
RTX 5060 12GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5060 12GB VRAM • | ||||
RTX 5070 Ti 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5070 Ti 16GB VRAM • | ||||
RTX 5080 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5080 16GB VRAM • | ||||
RTX 5090 32GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • AtmosCompute | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A4500 20GB VRAM • AtmosCompute | Not Available | — | ||
RTX A4500 20GB VRAM • | ||||
| Model ↑ | AtmosCompute | Google Cloud | Input Diff ↕ |
|---|---|---|---|
Google | Not available | $0.500 in $3.00 out | — |
Google | Not available | $2.00 in $12.00 out | — |
Google | Not available | $0.300 in $2.50 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 | $1.50 in $7.50 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Launch GPU servers in approximately 30 seconds.
Hourly billing without hidden fees.
Easily deploy containers with minimal commands.
Full REST API available for automation.
Isolated environments with controlled access.
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.
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 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.
Instant registration without unnecessary data.
Specify the video card model and resource requirements.
Use SSH, RDP, or API for connection.
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.
Email support available.
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.