Virtual Machines costs

Tensor9 BYOC planning comparisons for azure::1.0.0::vm, with backend choices shown together. Read how Tensor9 estimates service-adapter costs for price scope and capacity qualification, or return to additional services.

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Allocated virtual machine capacity (Azure VM) → Compute Engine

Origin API: azure::1.0.0::vm. Target backend: google::1.0.0::compute::instance. Designed mapping. This cost model describes an intended adapter. Its estimated price does not establish a delivered or selectable backend.

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Allocated virtual machine capacity (Azure VM) · Allocated VM CPU-hours per month

Estimated monthly service charges by Allocated VM CPU-hours per month. Adapter hosting and Tensor9 fees are excluded. Source: eastus; target: us-central1; currency: USD. Comparison pills describe all sampled scale points; card amounts show the named workload. Costs The Same means within 20% at every point. Costs Depend includes mixed results and unpriced samples. Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more. Curve assumptions

• Only this native meter varies; all other source usage and translation assumptions retain the displayed defaults. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
• Planning estimate · editable authored rates and sizing assumptions dated 2026-10-22; not verified provider prices. eastus → us-central1, USD/month.
• Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
• Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
• Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve’s workload note.
• Rates are cited provider list prices, editable for discounts, commitments or another region. Workload translation and capacity coefficients remain editable planning assumptions, not benchmark measurements or a commercial quote.
• Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
• Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
• Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
• A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
• This exact directed mapping has a design profile. Cost modeling does not establish an implemented or deployable adapter.
• Origin unit prices are cited provider list prices; capacity coefficients and translation assumptions are editable authored planning guesses, not measured capacity or a provider quote.
• CPU, RAM, disks and network quantities remain independently editable. Increasing CPU does not silently increase the selected memory meter.
• VM provisioning and availability of its management adapter are separate facts; this cost model does not enable a runtime endpoint.
• Allocated VM CPU and memory hours, attached disk GiB-months and selected egress are explicit physical usage; management API counts never create VM-hours. Licenses, GPUs and Spot or committed discounts are excluded. Google: N2 predefined vCPU and memory (E2 lists 0.02181159 and 0.00292353); pd-balanced disk; Premium Tier egress.
• Azure Retail Prices API: https://prices.azure.com/api/retail/prices
• Compute Engine general-purpose machine pricing: https://cloud.google.com/products/compute/pricing/general-purpose
• Disk and image pricing: https://cloud.google.com/compute/disks-image-pricing
• Network pricing: https://cloud.google.com/vpc/network-pricing

Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied. Excluded costs and workload features:

• Operating-system and software licenses, GPUs, reserved/Spot discounts, dedicated tenancy, disk IOPS, snapshots and backup.
• Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
• Unmodeled dependent services, task execution and operations outside the selected workload family.

List prices read: 2026-10-22. Model: plan-61a054ceaa8f0f219dc2c5e13939112a9a7c1113 / 2026-10-22.planning.2. Curve: workload-1. Sources: Azure Retail Prices API, Compute Engine general-purpose machine pricing, Disk and image pricing, Network pricing.

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Allocated virtual machine capacity (Azure VM) → EC2 Instances

Origin API: azure::1.0.0::vm. Target backend: aws::1.0.0::ec2::instance. Designed mapping. This cost model describes an intended adapter. Its estimated price does not establish a delivered or selectable backend.

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Allocated virtual machine capacity (Azure VM) · Allocated VM CPU-hours per month

Estimated monthly service charges by Allocated VM CPU-hours per month. Adapter hosting and Tensor9 fees are excluded. Source: eastus; target: us-east-1; currency: USD. Comparison pills describe all sampled scale points; card amounts show the named workload. Costs The Same means within 20% at every point. Costs Depend includes mixed results and unpriced samples. Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more. Curve assumptions

• Only this native meter varies; all other source usage and translation assumptions retain the displayed defaults. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
• Planning estimate · editable authored rates and sizing assumptions dated 2026-10-22; not verified provider prices. eastus → us-east-1, USD/month.
• Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
• Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
• Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve’s workload note.
• Rates are cited provider list prices, editable for discounts, commitments or another region. Workload translation and capacity coefficients remain editable planning assumptions, not benchmark measurements or a commercial quote.
• Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
• Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
• Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
• A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
• This exact directed mapping has a design profile. Cost modeling does not establish an implemented or deployable adapter.
• Origin unit prices are cited provider list prices; capacity coefficients and translation assumptions are editable authored planning guesses, not measured capacity or a provider quote.
• CPU, RAM, disks and network quantities remain independently editable. Increasing CPU does not silently increase the selected memory meter.
• VM provisioning and availability of its management adapter are separate facts; this cost model does not enable a runtime endpoint.
• Allocated VM CPU and memory hours, attached disk GiB-months and selected egress are explicit physical usage; management API counts never create VM-hours. Licenses, GPUs and Spot or committed discounts are excluded. AWS: m6i general purpose decomposed against r6i (m7i.large lists 0.1008/hour, 5% higher); gp3 disk; internet egress.
• Azure Retail Prices API: https://prices.azure.com/api/retail/prices
• Amazon EC2 price list (AWS Price List API): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
• AWS Data Transfer price list (AWS Price List API): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSDataTransfer/current/us-east-1/index.json

Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied. Excluded costs and workload features:

• Operating-system and software licenses, GPUs, reserved/Spot discounts, dedicated tenancy, disk IOPS, snapshots and backup.
• Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
• Unmodeled dependent services, task execution and operations outside the selected workload family.

List prices read: 2026-10-22. Model: plan-900e796b2dc2eb3d3f0281812441395a7f9198cf / 2026-10-22.planning.2. Curve: workload-1. Sources: Azure Retail Prices API, Amazon EC2 price list (AWS Price List API), AWS Data Transfer price list (AWS Price List API). See the service catalog for operation coverage, supported directions and backend limitations.