specification: FinOps Framework specificationVersion: '1.0' schema: https://www.finops.org/framework/ provider: Advanced Micro Devices providerId: advanced-micro-devices created: '2026-05-04' # Provenance stamped 2026-08-11: this artifact was written by the API Evangelist # bulk sweep dated 2026-05-04, not harvested from the provider. See roadmap#35. method: generated modified: '2026-05-05' reconciled: false notes: AMD-issued invoices typically reflect hardware/license purchases; recurring GPU-hour spend usually flows through cloud providers (AWS, Azure, OCI) rather than AMD directly. tags: - FinOps - FOCUS - GPU - HPC description: 'FOCUS-aligned FinOps for AMD: hardware purchase + cloud-provider-mediated GPU-hour consumption.' sources: - https://www.amd.com/ - https://rocm.docs.amd.com/ alignedWith: framework: FinOps Foundation Framework frameworkUrl: https://www.finops.org/framework/ dataSpec: FOCUS dataSpecVersion: '1.3' dataSpecUrl: https://focus.finops.org/focus-specification/v1-3/ publisherName: Advanced Micro Devices, Inc. serviceCategory: Compute / Semiconductors billingModel: pricingCategory: Pay-As-You-Go + Committed Use billingFrequency: Per-Invoice billingCurrency: USD chargeCategories: - Purchase - Usage - Adjustment focusColumns: ServiceName: AMD ServiceCategory: Compute / Semiconductors ProviderName: Advanced Micro Devices PublisherName: Advanced Micro Devices, Inc. InvoiceIssuerName: Advanced Micro Devices, Inc. BillingCurrency: USD meters: - name: gpu_hours unit: GPU-hour aggregation: sum dimensions: - sku - region - cloud_provider - name: hardware_units unit: unit aggregation: sum dimensions: - sku - reseller - name: support_subscriptions unit: month aggregation: sum dimensions: - support_tier principles: - name: Visibility description: Track GPU-hour consumption through the hosting cloud provider's billing exports (CUR, OCI Usage, Azure Cost Management); attribute hardware spend via PO-level tagging. - name: Allocation description: Tag AMD-instance jobs by team/model/experiment in the cloud provider's billing data. - name: Optimization description: Use ROCm-native frameworks to maximize GPU utilization; right-size MI300X vs MI250X for workload; pursue committed-use discounts on the host cloud. - name: Accountability description: Assign GPU-hour budget owner; review monthly utilization and idle-GPU exposure.