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Compare GPU and LLM inference API pricing between Google Cloud and Verda. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.07/hour between comparable GPUs
| GPU Model ↑ | Google Cloud Price | Verda Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Verda | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Verda | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Verda | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GB300 576GB VRAM • Verda | Not Available | 2x GPU | — | |
GB300 576GB VRAM • | ||||
H100 SXM 80GB VRAM • Verda | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Verda | Not Available | 2x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Verda | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Verda | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Verda | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Verda | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Verda | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Verda | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google CloudVerda | ↑+$1.07(+2210.6%) | |||
Tesla V100 32GB VRAM • $1.12/hour Updated: 3/31/2026 $0.05/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$1.07(+2210.6%) | ||||
A100 PCIE 40GB VRAM • Verda | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Verda | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Verda | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GB300 576GB VRAM • Verda | Not Available | 2x GPU | — | |
GB300 576GB VRAM • | ||||
H100 SXM 80GB VRAM • Verda | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Verda | Not Available | 2x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Verda | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Verda | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Verda | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Verda | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Verda | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Verda | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google CloudVerda | ↑+$1.07(+2210.6%) | |||
Tesla V100 32GB VRAM • $1.12/hour Updated: 3/31/2026 $0.05/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$1.07(+2210.6%) | ||||
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.
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
Complete platform for AI development from experimentation to production deployment
InfiniBand and NVLink for efficient multi-GPU communication and clustering
ISO 27001/27017/27018/27701 certified with GDPR compliance and EU sovereignty
100% renewable energy-powered Nordic data centers
Web console, API, SDK, Terraform provider, and comprehensive documentation
Proactive support from ML infrastructure experts with 99.9%+ uptime
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.
On-demand virtual machines with 1x-8x NVIDIA GPUs and NVLink interconnects
Self-service access to 16x-128x GPU clusters with InfiniBand
Custom-built GPU clusters tailored to specifications
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.
Transparent hourly pricing with no upfront commitments
Access spare capacity at significant discounts for flexible workloads
Volume discounts up to 25% with 1-2 year commitments
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.
Create account at console.verda.com with email or GitHub
Add credit card for pay-as-you-go billing
Select GPU model and configuration, deploy in minutes
SSH access, JupyterLab, or API integration for your ML workloads
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
European data centers with focus on Nordic locations for optimal sustainability
Expert AI/ML infrastructure support team, comprehensive documentation, 99.9%+ uptime SLA