874d40d38a
All checks were successful
Deploy Skill to OCI / deploy (push) Successful in 21s
- refresh_sku_catalog.py: add --discover to report API SKUs missing from catalog, filtered to already-curated serviceCategory values. Auto-runs at end of --validate and --refresh so gaps surface on every maintenance pass. First run found 162 missing SKUs (Blackwell GPUs, X12 Ax compute, VMware reserved tiers, WebLogic-on-OKE, Analytics/OIC BYOL). - oci_bom_gen.py: fix Cost % column being blank. Back-fill was gated on formula detection but data rows write raw numbers, so the predicate never matched. Now tracks data_item_rows explicitly. - .gitea/workflows/sku-catalog-refresh.yaml: monthly automation (1st at 09:00 UTC). Auto-refresh prices → push branch + open PR; detect new SKUs → open issue with labels. Gated on secrets.GITEA_TOKEN. - kb/pricing/oci-sku-catalog.yaml: add B95714 / B95715 (Autonomous ATP Dedicated ECPU, LI + BYOL) — canonical SKUs for ADB-D pricing. - kb/services/compute.yaml: add X12 family (VM.Standard4.Ax.Flex, BM.Standard4.Ax.120), E6.Ax and A4.Ax variants. Verified against docs.oracle.com computeshapes.htm. Bump last_verified + changelog. - templates/bom-spec.yaml: document 730 hrs/month convention as default (= real annual billing / 12; 744 overstates by 1.92% on 12-month TCO). - Makefile: new 'make sku-discover' target. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
172 lines
5.5 KiB
YAML
172 lines
5.5 KiB
YAML
---
|
|
last_verified: 2026-04-24
|
|
service: OCI Compute
|
|
category: compute
|
|
oci_color: "#4F7B6E"
|
|
changelog:
|
|
- date: "2026-04-24"
|
|
change: "Added missing shapes surfaced by discover+WebFetch: VM/BM.Standard.E6.Ax, VM/BM.Standard.A4.Ax, and full X12 family (VM.Standard4.Ax.Flex 39 OCPU / 360 GB, BM.Standard4.Ax.120 latest-gen bare metal). Verified against docs.oracle.com/en-us/iaas/Content/Compute/References/computeshapes.htm."
|
|
---
|
|
|
|
what: Virtual machines and bare metal instances. Flexible shapes allow custom
|
|
OCPU/memory ratios. AMD, Intel, and Arm options available.
|
|
|
|
shape_families:
|
|
- name: VM.Standard.E5.Flex
|
|
processor: "AMD EPYC 9J14 (Genoa)"
|
|
max_ocpu: 126
|
|
memory_per_ocpu_gb: "1-64 GB per OCPU"
|
|
use_for: "General purpose, most workloads"
|
|
- name: VM.Standard.E6.Flex
|
|
processor: "AMD EPYC 9J45 (Turin)"
|
|
max_ocpu: 126
|
|
max_memory_gb: 1454
|
|
memory_per_ocpu_gb: "1-64 GB per OCPU"
|
|
network_gbps: 99
|
|
use_for: "Latest generation general purpose"
|
|
- name: VM.Standard3.Flex
|
|
processor: "Intel Xeon (Ice Lake)"
|
|
max_ocpu: 32
|
|
memory_per_ocpu_gb: "1-64 GB per OCPU"
|
|
use_for: "Intel-optimized workloads"
|
|
- name: VM.Standard.A2.Flex
|
|
processor: "Ampere Altra (Arm)"
|
|
max_ocpu: 78
|
|
memory_per_ocpu_gb: "1-64 GB per OCPU"
|
|
use_for: "Arm-compatible workloads, cost optimization"
|
|
- name: VM.Standard.A4.Flex
|
|
processor: "Arm"
|
|
max_ocpu: 45
|
|
max_memory_gb: 700
|
|
network_gbps: 100
|
|
use_for: "Latest Arm generation, cloud-native workloads"
|
|
- name: VM.Optimized3.Flex
|
|
processor: "Intel Xeon (Ice Lake)"
|
|
max_ocpu: 18
|
|
memory_per_ocpu_gb: "1-64 GB per OCPU"
|
|
use_for: "High-frequency trading, HPC"
|
|
- name: VM.Standard.E6.Ax.Flex
|
|
processor: "AMD EPYC (Ampere-branded E6 variant)"
|
|
max_ocpu: 94
|
|
max_memory_gb: 712
|
|
network_gbps: 99
|
|
use_for: "E6 Ampere-variant general purpose"
|
|
- name: VM.Standard.A4.Ax.Flex
|
|
processor: "Arm (A4 Ampere-branded variant)"
|
|
max_ocpu: 45
|
|
max_memory_gb: 720
|
|
network_gbps: 100
|
|
use_for: "A4 Ampere-variant Arm workloads"
|
|
- name: VM.Standard4.Ax.Flex
|
|
processor: "AMD EPYC (X12 Ampere-branded)"
|
|
max_ocpu: 39
|
|
max_memory_gb: 360
|
|
network_gbps: 99
|
|
use_for: "X12-generation general purpose (latest)"
|
|
- name: BM.Standard.E5
|
|
processor: "AMD EPYC 9J14 (Genoa)"
|
|
ocpus: 192
|
|
use_for: "Bare metal general purpose"
|
|
- name: BM.Standard.E6
|
|
processor: "AMD EPYC 9J45 (Turin)"
|
|
ocpus: 256
|
|
use_for: "Bare metal latest generation"
|
|
- name: BM.Standard.E6.Ax.192
|
|
processor: "AMD EPYC (E6 Ampere-branded variant)"
|
|
ocpus: 192
|
|
max_memory_gb: 1536
|
|
network_gbps: 200
|
|
use_for: "Bare metal E6 Ampere-variant"
|
|
- name: BM.Standard.A4.48
|
|
processor: "Arm (A4)"
|
|
ocpus: 48
|
|
max_memory_gb: 768
|
|
network_gbps: 100
|
|
use_for: "Bare metal A4 Arm general purpose"
|
|
- name: BM.Standard.A4.Ax.48
|
|
processor: "Arm (A4 Ampere-branded variant)"
|
|
ocpus: 48
|
|
max_memory_gb: 768
|
|
network_gbps: 100
|
|
use_for: "Bare metal A4 Ampere-variant Arm"
|
|
- name: BM.Standard4.Ax.120
|
|
processor: "AMD EPYC (X12 Ampere-branded)"
|
|
ocpus: 120
|
|
max_memory_gb: 1152
|
|
network_gbps: 200
|
|
use_for: "Bare metal X12 latest generation"
|
|
- name: VM.GPU.A10.1
|
|
processor: "NVIDIA A10"
|
|
gpu_count: 1
|
|
use_for: "AI/ML inference, GPU workloads"
|
|
- name: BM.GPU.H100.8
|
|
processor: "NVIDIA H100 (8 GPUs)"
|
|
gpu_count: 8
|
|
use_for: "AI/ML training, large model inference"
|
|
- name: BM.GPU.H200.8
|
|
processor: "NVIDIA H200 (8 GPUs)"
|
|
gpu_count: 8
|
|
use_for: "AI/ML training, large model inference (higher memory bandwidth)"
|
|
- name: BM.GPU.B200.8
|
|
processor: "NVIDIA B200 (8 GPUs)"
|
|
gpu_count: 8
|
|
use_for: "Next-gen AI training and inference"
|
|
- name: BM.GPU.B300.8
|
|
processor: "NVIDIA B300 (8 GPUs)"
|
|
gpu_count: 8
|
|
use_for: "Next-gen AI training and inference"
|
|
- name: BM.GPU.GB200.4
|
|
processor: "NVIDIA GB200 (4 GPUs)"
|
|
gpu_count: 4
|
|
use_for: "Grace Blackwell superchip, AI training"
|
|
- name: BM.GPU.GB300.4
|
|
processor: "NVIDIA GB300 (4 GPUs)"
|
|
gpu_count: 4
|
|
use_for: "Grace Blackwell next-gen AI"
|
|
- name: BM.GPU.MI300X.8
|
|
processor: "AMD Instinct MI300X (8 GPUs)"
|
|
gpu_count: 8
|
|
use_for: "AMD GPU AI/ML workloads"
|
|
- name: BM.GPU.MI355X.8
|
|
processor: "AMD Instinct MI355X (8 GPUs)"
|
|
gpu_count: 8
|
|
use_for: "AMD GPU next-gen AI/ML workloads"
|
|
- name: BM.GPU.L40S.4
|
|
processor: "NVIDIA L40S (4 GPUs)"
|
|
gpu_count: 4
|
|
use_for: "AI inference, graphics, video"
|
|
|
|
when_to_use:
|
|
- Traditional VM-based applications
|
|
- Applications not suited for containers
|
|
- Database clients and application servers
|
|
- Bastion hosts and jump boxes
|
|
- GPU workloads (AI/ML, rendering)
|
|
|
|
when_NOT_to_use:
|
|
- Containerized microservices (use OKE)
|
|
- Serverless event-driven workloads (use Functions)
|
|
- Managed database workloads (use ADB/DBCS)
|
|
|
|
features:
|
|
flexible_shapes: true
|
|
burstable: "Burstable instances available (VM.Standard.E5.Flex.Burstable)"
|
|
preemptible: "Preemptible instances at reduced cost"
|
|
dedicated_hosts: true
|
|
live_migration: true
|
|
boot_volume_backup: true
|
|
instance_pools: true
|
|
autoscaling: "Instance pool autoscaling"
|
|
|
|
pricing:
|
|
model: per_ocpu_per_hour
|
|
e5_flex_per_ocpu: 0.0230
|
|
standard3_flex_per_ocpu: 0.0360
|
|
a2_flex_per_ocpu: 0.0100
|
|
memory_per_gb: 0.0015
|
|
preemptible_discount: "~50% off on-demand"
|
|
notes:
|
|
- "Flexible shapes: OCPU + memory billed separately"
|
|
- "Always Free tier: 1 VM.Standard.E2.1.Micro (AMD)"
|
|
- "Preemptible instances can be reclaimed with 30s notice"
|