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Compare GPU and LLM inference API pricing between Gcore and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Gcore Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | 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 • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | 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 • | ||||
| Model ↑ | Gcore | Google Cloud | Input Diff ↕ |
|---|---|---|---|
Google | Not available | $0.750 in $3.75 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
GPU and inference workloads deployable across 50+ cloud locations and 210+ points of presence worldwide
8-GPU B300 SXM servers and 72-GPU GB300 NVL72 racks offered alongside H200, H100, A100 and L40S
Managed inference platform with autoscaling, fast cold starts and protected endpoints, billed on the compute time actually used
Dedicated 8-GPU bare-metal clusters or single-GPU virtual machines, with multi-node clusters provisioned in a single API call and automatic InfiniBand setup
AI Cloud Stack and Everywhere AI for running models on enterprise, third-party cloud or on-premises infrastructure
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.
Bare-metal GPU clusters and virtual GPU machines provisioned through the console or API
Managed endpoints for running models across Gcore's global footprint
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.
Hourly billing for self-serve GPU virtual machines, charged only while the instance is powered on
Dedicated 8-GPU servers and multi-node clusters, priced per configuration with hourly, monthly and yearly estimates in the GPU Cloud calculator
Billing determined by the exact compute time used, measured down to the minute
B300 and GB300 NVL72 systems, plus third-party cloud and on-premises deployments, are quoted by the sales team
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.
Sign up at the Gcore customer portal
Choose between cloud GPU instances, bare-metal clusters, or the inference platform
Launch via the portal or API and connect over SSH or supported orchestrators
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.
50+ cloud locations and 210+ points of presence worldwide; bare-metal GPU clusters are offered in a smaller subset of regions such as Luxembourg
Documentation, API reference, help center, status page and technical support plans
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.