Pricing
Plans that scale with the estate, not the hype.
Transparent platform tiers with metered usage. Engineering delivery is scoped separately so you always know what you are buying.
Foundation
For a first governed workload in production.
$4,800/ month
- 1 production environment
- Up to 3 AI workloads
- Managed data pipelines (up to 10)
- Standard observability dashboards
- Business-hours engineering support
- Role-based access control
Most adopted
Scale
For multi-team platforms with GPU-backed inference.
$14,500/ month
- Multi-environment landing zone
- Up to 25 AI workloads
- GPU-accelerated inference pools
- Automation builder with approvals
- Semantic metric layer
- Extended support window and named engineer
Enterprise
For regulated estates and global rollouts.
Custom
- Dedicated infrastructure topology
- Private networking and data residency options
- Custom SLAs agreed in contract
- Security review and architecture workshops
- Migration and enablement programme
- Audit log export and SIEM integration
Prices are illustrative. MS Global Growth does not promise unlimited infrastructure or guaranteed performance; capacity and service levels are defined per agreement.
Questions
Commercial details
How is usage measured?
By inference requests, data processed and workflow executions. Each is metered per organisation and visible in the console before it appears on an invoice.
Are performance levels guaranteed?
Published figures describe observed platform performance. Specific availability or latency commitments are agreed in a signed contract, not implied by a plan.
Is infrastructure capacity unlimited?
No. Every plan has defined capacity envelopes for compute, storage and accelerator time. Additional capacity is provisioned on request.
Can we bring our own cloud account?
Yes. MS Global Growth can deploy into your accounts and hand over infrastructure as code, or operate a managed environment on your behalf.