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Compare GPU and LLM inference API pricing between Google Cloud and Spheron. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.93/hour between comparable GPUs
| GPU Model ↑ | Google Cloud Price | Spheron Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Google CloudSpheron | 16x GPU | ↑+$0.07(+6.0%) | ||
A100 SXM 80GB VRAM • $1.22/hour 16x GPU configuration Updated: 9/11/2026 $1.15/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$0.07(+6.0%) | ||||
B200 180GB VRAM • Google CloudSpheron | 8x GPU | ↑+$1.05(+27.0%) | ||
B200 180GB VRAM • $4.95/hour 8x GPU configuration Updated: 9/11/2026 $3.90/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$1.05(+27.0%) | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Spheron | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google CloudSpheron | 8x GPU | ↑+$2.08(+81.0%) | ||
H200 141GB VRAM • $4.65/hour 8x GPU configuration Updated: 9/11/2026 $2.57/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$2.08(+81.0%) | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | 2x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Spheron | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • Spheron | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Spheron | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Spheron | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google CloudSpheron | ↑+$0.50(+40.9%) | |||
RTX PRO 6000 96GB VRAM • $1.72/hour Updated: 9/11/2026 $1.22/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$0.50(+40.9%) | ||||
A100 SXM 80GB VRAM • Google CloudSpheron | 16x GPU | ↑+$0.07(+6.0%) | ||
A100 SXM 80GB VRAM • $1.22/hour 16x GPU configuration Updated: 9/11/2026 $1.15/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$0.07(+6.0%) | ||||
B200 180GB VRAM • Google CloudSpheron | 8x GPU | ↑+$1.05(+27.0%) | ||
B200 180GB VRAM • $4.95/hour 8x GPU configuration Updated: 9/11/2026 $3.90/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$1.05(+27.0%) | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Spheron | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google CloudSpheron | 8x GPU | ↑+$2.08(+81.0%) | ||
H200 141GB VRAM • $4.65/hour 8x GPU configuration Updated: 9/11/2026 $2.57/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$2.08(+81.0%) | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | 2x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Spheron | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • Spheron | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Spheron | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Spheron | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google CloudSpheron | ↑+$0.50(+40.9%) | |||
RTX PRO 6000 96GB VRAM • $1.72/hour Updated: 9/11/2026 $1.22/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$0.50(+40.9%) | ||||
| Model ↑ | Google Cloud | Spheron | Input Diff ↕ |
|---|---|---|---|
Google | $0.150 in $0.600 out | Not available | — |
Google | $0.075 in $0.300 out | Not available | — |
Google | $0.300 in $2.50 out | Not available | — |
Google | $0.100 in $0.400 out | Not available | — |
Google | $1.25 in $10.00 out | Not available | — |
Google | $0.500 in $3.00 out | Not available | — |
Google | $0.250 in $1.50 out | Not available | — |
Google | $2.00 in $12.00 out | Not available | — |
Google | $1.50 in $9.00 out | Not available | — |
Google | $0.300 in $2.50 out | Not available | — |
Google | $0.750 in $3.75 out | Not available | — |
Google | $0.750 in $3.75 out | Not available | — |
Google | $0.750 in $3.75 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Google Cloud with another leading provider
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Compare Google Cloud with another leading provider
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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.
Access GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider
Instances are billed by the minute with no minimum rental period or rounding up to the hour
Instances are typically ready in under two minutes with no approval workflow or provisioning queue
Compute spend across every connected provider is tracked in a single dashboard
Each VM or bare metal instance includes NVMe SSD storage, network bandwidth, a dedicated IP address and full root access
Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours
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 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.
Non-interruptible instances billed per minute with no commitment or minimum rental period
Idle capacity on the same hardware at up to 50% off dedicated rates, interruptible when the provider reclaims it
Commit to a duration for locked capacity, volume pricing and dedicated support
Quoted deployments from 8 to 512+ GPUs with specific hardware and InfiniBand configurations sourced from partner data centers
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.
Browse available GPU models with live pricing and filter by VRAM, architecture or price
Choose a region, storage and OS image, then deploy; instances are provisioned in around two minutes
SSH in and start working, switch to another GPU model at any time, or spin down to stop per-minute billing
Submit requirements for reserved capacity or custom clusters and Spheron sources, negotiates and sets up the deployment
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Capacity sourced from vetted Tier 3/4 partner data centers spanning multiple continents; region is selected at deploy time
Documentation, API reference and changelog at docs.spheron.ai, plus sales contact and call scheduling for reserved capacity and custom cluster quotes