IBM Cloud vs Massed Compute
Compare GPU pricing, features, and specifications between IBM Cloud and Massed Compute cloud providers. Find the best deals for AI training, inference, and ML workloads.
IBM Cloud
Provider 1
Massed Compute
Provider 2
Comparison Overview
GPU Pricing Comparison
Features Comparison
Pros & Cons
Compute Services
IBM Cloud
Massed Compute
On-Demand GPU Instances
Self-service VMs billed hourly; configurable 1-, 2-, 4- or 8-GPU nodes
Bare-Metal GPU Servers
Single-tenant servers with full hardware control and optional NVLink interconnects
- No virtualization overhead
- Customisable CPU, RAM, storage & network fabric
GPU Clusters
Reserved multi-node clusters networked for distributed training
- Flexible interconnect (e.g. InfiniBand, 200 GbE)
- Long-term reservation guarantees capacity
Pricing Options
IBM Cloud
Massed Compute
Getting Started
IBM Cloud
Massed Compute
- 1
Create an account
Sign up and confirm email to access the console
- 2
Add billing credits
Configure initial, minimum, and recharge amounts
- 3
Select a GPU template
Choose GPU type, quantity, and OS image from the catalog
- 4
Launch via VDI or SSH
Boot the VM, connect in one click, or use the API
Support & Global Availability
IBM Cloud
Massed Compute
Global Regions
Tier III U.S. data centers (multiple sites in low-cost power markets)
Support
Documentation portal, Discord community, email ticketing, and direct engineer chat ('Ask AI Expert')
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