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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 |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • AtmosCompute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • AtmosCompute | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • AtmosCompute | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • AtmosCompute | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • AtmosCompute | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 SXM 80GB VRAM • AtmosCompute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • AtmosCompute | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • AtmosCompute | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • AtmosCompute | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • AtmosCompute | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • AtmosCompute | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 3090 24GB VRAM • AtmosCompute | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5060 Ti 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5060 Ti 16GB VRAM • | ||||
A100 PCIE 40GB VRAM • AtmosCompute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • AtmosCompute | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • AtmosCompute | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • AtmosCompute | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • AtmosCompute | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 SXM 80GB VRAM • AtmosCompute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • AtmosCompute | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • AtmosCompute | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • AtmosCompute | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • AtmosCompute | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • AtmosCompute | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 3090 24GB VRAM • AtmosCompute | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • AtmosCompute | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5060 Ti 16GB VRAM • AtmosCompute | Not Available | — | ||
RTX 5060 Ti 16GB VRAM • | ||||
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.