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Compare GPU and LLM inference API pricing between Deep Infra and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Deep Infra Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Deep Infra | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Deep Infra | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Deep Infra | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Deep Infra | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Deep Infra | Not Available | — | ||
HGX B300 288GB 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 • Deep Infra | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Deep Infra | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Deep Infra | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Deep Infra | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Deep Infra | Not Available | — | ||
HGX B300 288GB 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 Deep Infra with another leading provider
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
OpenAI-compatible endpoints for 100+ models with autoscaling and pay-per-token billing
B200 instances with SSH access spin up in about 10 seconds and bill hourly
Deploy your own Hugging Face models onto dedicated A100, H100, H200, or B200 GPUs
Published per-GPU hourly rates for A100, H100, H200, and B200 with competitive pricing
All hosted models run on H100 or A100 hardware tuned for low latency
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.
Hosted model APIs with autoscaling on H100/A100 hardware.
On-demand GPU nodes with SSH access for custom 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.
OpenAI-compatible inference APIs with pay-per-request billing on H100/A100 hardware
Published transparent hourly pricing for A100, H100, H200, and B200 GPUs with pay-as-you-go billing
Flexible hourly billing for dedicated instances with no prepayments or contracts required
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.
Sign up (GitHub-supported) and open the Deep Infra dashboard
Add a payment method to unlock GPU rentals and API usage
Choose serverless APIs or dedicated A100, H100, H200, or B200 instances
Start instances with SSH access or call the OpenAI-compatible API endpoints
Track spend and instance status from the dashboard and shut down when idle
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.
Region list not published on the GPU Instances page; promo mentions Nebraska availability alongside multi-region autoscaling messaging.
Documentation site, dashboard guidance, Discord community link, and contact-sales options.
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.