Loading Comparison
Fetching pricing data and provider information...
Loading Comparison
Fetching pricing data and provider information...
Compare GPU and LLM inference API pricing between Google Cloud and UpCloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.40/hour between comparable GPUs
| GPU Model ↑ | Google Cloud Price | UpCloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Google Cloud | 16x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google CloudUpCloud | 8x GPU | 2x GPU | ↑+$1.06(+27.3%) | |
B200 180GB VRAM • $4.95/hour 8x GPU configuration Updated: 8/18/2026 $3.89/hour 2x GPU configuration Updated: 8/7/2026 ★Best Price Price Difference:↑+$1.06(+27.3%) | ||||
H100 SXM 80GB VRAM • Google CloudUpCloud | 8x GPU | ↑+$2.80(+136.6%) | ||
H100 SXM 80GB VRAM • $4.86/hour 8x GPU configuration Updated: 8/18/2026 $2.05/hour Updated: 8/7/2026 ★Best Price Price Difference:↑+$2.80(+136.6%) | ||||
H200 141GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google CloudUpCloud | ↓$0.34(51.8%) | |||
L4 24GB VRAM • $0.32/hour Updated: 8/18/2026 ★Best Price $0.66/hour Updated: 8/14/2026 Price Difference:↓$0.34(51.8%) | ||||
L40S 48GB VRAM • UpCloud | Not Available | — | ||
L40S 48GB 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 | 16x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google CloudUpCloud | 8x GPU | 2x GPU | ↑+$1.06(+27.3%) | |
B200 180GB VRAM • $4.95/hour 8x GPU configuration Updated: 8/18/2026 $3.89/hour 2x GPU configuration Updated: 8/7/2026 ★Best Price Price Difference:↑+$1.06(+27.3%) | ||||
H100 SXM 80GB VRAM • Google CloudUpCloud | 8x GPU | ↑+$2.80(+136.6%) | ||
H100 SXM 80GB VRAM • $4.86/hour 8x GPU configuration Updated: 8/18/2026 $2.05/hour Updated: 8/7/2026 ★Best Price Price Difference:↑+$2.80(+136.6%) | ||||
H200 141GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google CloudUpCloud | ↓$0.34(51.8%) | |||
L4 24GB VRAM • $0.32/hour Updated: 8/18/2026 ★Best Price $0.66/hour Updated: 8/14/2026 Price Difference:↓$0.34(51.8%) | ||||
L40S 48GB VRAM • UpCloud | Not Available | — | ||
L40S 48GB 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 ↑ | Google Cloud | UpCloud | Input Diff ↕ |
|---|---|---|---|
Google | $1.50 in $7.50 out | Not available | — |
Google | $1.50 in $7.50 out | Not available | — |
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.
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.
No shared hardware — each GPU is always dedicated to a single server with full performance isolation
Helsinki data center powered entirely by renewable energy with up to 90% waste heat recovery for district heating
GDPR-compliant infrastructure in Finland with strong jurisdictional protections and no third-party dependencies
No egress fees — outbound data transfer is included at no extra cost
Pay only for active compute time with hourly billing, no rigid contracts or long-term commitments required
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 and spot NVIDIA L4, L40S, H100, and B200 GPU instances with dedicated hardware and AMD EPYC processors
Dedicated private cloud infrastructure with NVIDIA L4, L40S, and H200 NVL GPUs
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.
Hourly billing for L4, L40S, H100, and B200 GPU instances with no upfront commitment — pay only for active compute time
Discounted spot pricing for GPU Servers, offering lower hourly rates for interruptible workloads
Fixed monthly pricing for dedicated private cloud GPU infrastructure with L4, L40S, and H200 NVL
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.
Sign up at upcloud.com and complete account verification
Choose from NVIDIA L4, L40S, H100, or B200 GPU configurations with varying vCPU and RAM options
Use pre-configured GPU Ubuntu templates to get started quickly with CUDA and ML frameworks
Add block storage devices (1 GB–4 TB each) from any storage tier for your operating system and data
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Helsinki, Finland (Telia Helsinki Data Center)
Documentation, API reference, and support team available through the UpCloud control panel