EC2 Instances costs

Tensor9 BYOC planning comparisons for aws::1.0.0::ec2::instance, 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 (EC2) → Compute Engine

Origin API: aws::1.0.0::ec2::instance. Target backend: google::1.0.0::compute::instance.

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Allocated virtual machine capacity (EC2) · 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: us-east-1; 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. us-east-1 → 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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
• 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.
• AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
• AWS Price List API, AWSDataTransfer offer: https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSDataTransfer/current/us-east-1/index.json
• 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-bcccbdac70e36a2d5723c9a953ac234422fd2119 / 2026-10-22.planning.2. Curve: workload-1. Sources: AWS Price List API, AmazonEC2 offer (CSV), AWS Price List API, AWSDataTransfer offer, Compute Engine general-purpose machine pricing, Disk and image pricing, Network pricing.

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Allocated virtual machine capacity (EC2) → Compute Instance

Origin API: aws::1.0.0::ec2::instance. Target backend: oci::1.0.0::instance.

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Allocated virtual machine capacity (EC2) · 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: us-east-1; target: us-ashburn-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. us-east-1 → us-ashburn-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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
• 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. OCI: E5 flexible shape (the shape this repo emits); Balanced block volume; first 10 TB of egress free.
• AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
• AWS Price List API, AWSDataTransfer offer: https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSDataTransfer/current/us-east-1/index.json
• OCI price list API: https://apexapps.oracle.com/pls/apex/cetools/api/v1/products/

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-1e7c97d7220f52a17782ec153f654957afe60199 / 2026-10-22.planning.2. Curve: workload-1. Sources: AWS Price List API, AmazonEC2 offer (CSV), AWS Price List API, AWSDataTransfer offer, OCI price list API.

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Allocated virtual machine capacity (EC2) → KubeVirt VM

Origin API: aws::1.0.0::ec2::instance. Target backend: kubevirt::1.0.0::vm.

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Allocated virtual machine capacity (EC2) · 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: us-east-1; 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. us-east-1 → 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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
• 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.
• KubeVirt (Apache-2.0, https://github.com/kubevirt/kubevirt/blob/main/LICENSE) runs VMs as pods: allocated VM CPU and memory hours bill as node capacity; virt-launcher pod overhead is not modeled. Management API counts never create VM-hours. No vendor tariff: the target runs on the customer’s Kubernetes nodes, so CPU, RAM and disk bill at the Kubernetes node reference rates, Compute Engine N2 in us-central1 (USD 0.031611/vCPU-hour, 0.004237/GiB-hour) with pd-balanced disk (0.10/GiB-month) and Premium Tier egress. The cost-optimized E2 series lists 0.02181159/vCPU-hour and 0.00292353/GiB-hour; AWS m6i/r6i and Azure D2s v5/E2s v5 both decompose to 0.033/vCPU-hour and 0.00375/GiB-hour. Requested CPU and RAM are billed; node bin-packing waste, system reservations and the cluster control-plane fee are not.
• AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
• AWS Price List API, AWSDataTransfer offer: https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSDataTransfer/current/us-east-1/index.json
• 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-b66423f72f1bdd2ec169a2d6c0998ad8112ee193 / 2026-10-22.planning.2. Curve: workload-1. Sources: AWS Price List API, AmazonEC2 offer (CSV), AWS Price List API, AWSDataTransfer offer, Compute Engine general-purpose machine pricing, Disk and image pricing, Network pricing.

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Allocated virtual machine capacity (EC2) → Scaleway Instance

Origin API: aws::1.0.0::ec2::instance. Target backend: scaleway::1.0.0::instance.

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Allocated virtual machine capacity (EC2) · 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: us-east-1; target: fr-par; 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. us-east-1 → fr-par, 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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
• 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. Scaleway: POP2 general purpose decomposed against POP2-HM; Block Storage 5K; egress included.
• AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
• AWS Price List API, AWSDataTransfer offer: https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSDataTransfer/current/us-east-1/index.json
• Scaleway Virtual Instances pricing: https://www.scaleway.com/en/pricing/virtual-instances/
• Scaleway Storage pricing: https://www.scaleway.com/en/pricing/storage/

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-e8ee8df732b456d367b56dde605f615def03f0c2 / 2026-10-22.planning.2. Curve: workload-1. Sources: AWS Price List API, AmazonEC2 offer (CSV), AWS Price List API, AWSDataTransfer offer, Scaleway Virtual Instances pricing, Scaleway Storage pricing.

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Allocated virtual machine capacity (EC2) → Virtual Machines

Origin API: aws::1.0.0::ec2::instance. Target backend: azure::1.0.0::vm.

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Allocated virtual machine capacity (EC2) · 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: us-east-1; target: eastus; 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. us-east-1 → eastus, 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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
• 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. Azure: Dsv5 decomposed against Esv5; Premium SSD v2 disk; internet egress.
• AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
• AWS Price List API, AWSDataTransfer offer: https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSDataTransfer/current/us-east-1/index.json
• Azure Retail Prices API: https://prices.azure.com/api/retail/prices

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-40427793f34a92966daddbb1cd70c6d380b01137 / 2026-10-22.planning.2. Curve: workload-1. Sources: AWS Price List API, AmazonEC2 offer (CSV), AWS Price List API, AWSDataTransfer offer, Azure Retail Prices API. See the service catalog for operation coverage, supported directions and backend limitations.