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Compare GPU and LLM inference API pricing between Google Cloud and Massed Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Google Cloud Price | Massed Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Massed Compute | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.02/hour 8x GPU configuration Updated: 4/18/2026 ★Best Price | ||||
A30 24GB VRAM • Massed Compute | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 NVL 94GB VRAM • Massed Compute | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 SXM 80GB VRAM • Massed Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Massed Compute | Not Available | 4x GPU | — | |
H200 141GB VRAM • Not Available $2.31/hour 4x GPU configuration Updated: 4/18/2026 ★Best Price | ||||
L40 40GB VRAM • Massed Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Massed Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Massed Compute | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A5000 24GB VRAM • Massed Compute | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Massed Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Massed Compute | 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 • Massed Compute | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.02/hour 8x GPU configuration Updated: 4/18/2026 ★Best Price | ||||
A30 24GB VRAM • Massed Compute | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 NVL 94GB VRAM • Massed Compute | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 SXM 80GB VRAM • Massed Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Massed Compute | Not Available | 4x GPU | — | |
H200 141GB VRAM • Not Available $2.31/hour 4x GPU configuration Updated: 4/18/2026 ★Best Price | ||||
L40 40GB VRAM • Massed Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Massed Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Massed Compute | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A5000 24GB VRAM • Massed Compute | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Massed Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Massed Compute | 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 • | ||||
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.
Assurance of fully-supported, high-performance NVIDIA GPU solutions
Independent attestation of security, availability, and confidentiality controls
Hourly VMs or single-tenant servers—no long-term contracts
REST API to list, provision, manage, and retire GPU instances programmatically
Redundant power, cooling, and network for >99.98 % uptime
Launch pre-configured AI/ML or VFX desktops in a browser—no CLI needed
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.
Self-service VMs billed hourly; configurable 1-, 2-, 4- or 8-GPU nodes
Single-tenant servers with full hardware control and optional NVLink interconnects
Reserved multi-node clusters networked for distributed training
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.
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 and confirm email to access the console
Configure initial, minimum, and recharge amounts
Choose GPU type, quantity, and OS image from the catalog
Boot the VM, connect in one click, or use the API
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Tier III U.S. data centers (multiple sites in low-cost power markets)
Documentation portal, Discord community, email ticketing, and direct engineer chat ('Ask AI Expert')