Subscription Management
Billing and subscription information
Subscription Information
IaaS Credit Rates, Subscription Types, Overage Policies, Cloud PC Flex Credit Rates, DaaS Flex Credit Rates
IaaS Credit Rates
Multi-tenant customers deploying their workloads on Dizzion-provided public cloud subscriptions (AWS, Google Cloud Platform, and Microsoft Azure) can pay for their public cloud usage (VM and disk) in the form of IaaS Credits.
IaaS Credit rates vary based on public cloud and instance type running the VM. More powerful instances consume more credits. Please see tables below for current rates. Note that instance rates are valid across all supported public cloud regions globally.
For pay-as-you-go customers, IaaS Credits consumed during the previous billing cycle are charged at a price of $0.0125 per credit. Term customers may also pre-pay their IaaS Credits in bundles of 10,000 credits for $100 per bundle.
Instance Types
| Instance Name | Instance Type | vCPUs | RAM | GPU | Provider | Credits |
|---|---|---|---|---|---|---|
| Air 4GB | t2.medium | 1 | 4 GB | AWS | 12 | |
| Air 4GB (T3) | t3.medium | 1 | 4 GB | AWS | 20 | |
| Air 8GB | t2.large | 1 | 8 GB | AWS | 24 | |
| Air 8GB (T3) | t3.large | 1 | 8 GB | AWS | 32 | |
| Air 16GB (T3) | t3.xlarge | 2 | 16 GB | AWS | 54 | |
| Air 4GB (AMD) | t3a.medium | 4 | 4 GB | AWS | 20 | |
| Air 8GB (AMD) | t3a.large | 4 | 8 GB | AWS | 28 | |
| Air 16GB (AMD) | t3a.xlarge | 8 | 16 GB | AWS | 50 | |
| Air 32GB (AMD) | t3a.2xlarge | 16 | 32 GB | AWS | 90 | |
| Pro 16GB | g2.2xlarge | 4 | 16 GB | 1 GPU | AWS | |
| Pro 16GB (G4) | g4dn.xlarge | 4 | 16 GB | 1 GPU | AWS | 125 |
| Pro 32GB | g3s.xlarge | 2 | 32 GB | 1 GPU | AWS | 170 |
| Pro 32GB (G4) | g4dn.2xlarge | 8 | 32 GB | 1 GPU | AWS | 170 |
| Pro 122GB | g3.4xlarge | 8 | 122 GB | 1 GPU | AWS | 340 |
| Pro 64GB (G4) | g4dn.4xlarge | 16 | 64 GB | 1 GPU | AWS | 340 |
| Pro 128GB (G4) | g4dn.8xlarge | 32 | 128 GB | 1 GPU | AWS | 680 |
| Pro 16GB (AMD) | g4ad.xlarge | 4 | 16 GB | 1 GPU | AWS | 80 |
| Pro 32GB (AMD) | g4ad.2xlarge | 8 | 32 GB | 1 GPU | AWS | 110 |
| Pro 64GB (AMD) | g4ad.4xlarge | 16 | 64 GB | 1 GPU | AWS | 220 |
| Pro 128GB (AMD) | g4ad.8xlarge | 32 | 128 GB | 2 GPUs | AWS | 440 |
| Pro 256GB (AMD) | g4ad.16xlarge | 64 | 256 GB | 4 GPUs | AWS | 880 |
| Pro 192GB (G4) | g4dn.12xlarge | 24 | 192 GB | 4 GPUs | AWS | 1150 |
| Pro 256GB (G4) | g4dn.16xlarge | 32 | 256 GB | 1 GPU | AWS | 1350 |
| Pro 16GB (G5) | g5.xlarge | 2 | 16 GB | 1 GPU | AWS | 170 |
| Pro 32GB (G5) | g5.2xlarge | 4 | 32 GB | 1 GPU | AWS | 220 |
| Pro 64GB (G5) | g5.4xlarge | 8 | 64 GB | 1 GPU | AWS | 340 |
| Pro 128GB (G5) | g5.8xlarge | 16 | 128 GB | 1 GPU | AWS | 560 |
| Edge 8GB | c4.xlarge | 2 | 7.5 GB | AWS | 60 | |
| Edge 16GB | m4.xlarge | 2 | 16 GB | AWS | 60 | |
| Edge 32GB | c4.4xlarge | 8 | 32 GB | AWS | 240 | |
| Edge 32GB (R5) | r5.xlarge | 4 | 32 GB | AWS | 70 | |
| Edge 64GB (Z1D) | z1d.2xlarge | 8 | 64 GB | AWS | 160 | |
| Edge 64GB | m5a.4xlarge | 16 | 64 GB | AWS | 220 | |
| Edge 8GB (M6) | m6i.large | 2 | 8 GB | AWS | 28 | |
| Edge 16GB (M6) | m6i.xlarge | 4 | 16 GB | AWS | 56 | |
| Edge 32GB (M6) | m6i.2xlarge | 8 | 32 GB | AWS | 112 | |
| Edge 64GB (M6) | m6i.4xlarge | 16 | 64 GB | AWS | 224 | |
| Edge 4GB (C6) | c6i.large | 2 | 4 GB | AWS | 28 | |
| Edge 8GB (C6) | c6i.xlarge | 4 | 8 GB | AWS | ||
| Edge 16GB (C6) | c6i.2xlarge | 8 | 16 GB | AWS | 112 | |
| Edge 32GB (C6) | c6i.4xlarge | 16 | 32 GB | AWS | 224 | |
| Edge 64GB (C6) | c6i.8xlarge | 32 | 64 GB | AWS | 448 | |
| Edge 4GB (C7) | c7i.large | 2 | 4 GB | AWS | 30 | |
| Edge 8GB (C7) | c7i.xlarge | 4 | 8 GB | AWS | 60 | |
| Edge 16GB (C7) | c7i.2xlarge | 8 | 16 GB | AWS | 120 | |
| Edge 32GB (C7) | c7i.4xlarge | 16 | 32 GB | AWS | 240 | |
| Edge 64GB (C7) | c7i.8xlarge | 32 | 64 GB | AWS | 480 | |
| Edge 8GB (M7) | m7i.large | 2 | 8 GB | AWS | 30 | |
| Edge 16GB (M7) | m7i.xlarge | 4 | 16 GB | AWS | 60 | |
| Edge 32GB (M7) | m7i.2xlarge | 8 | 32 GB | AWS | 120 | |
| Edge 64GB (M7) | m7i.4xlarge | 16 | 64 GB | AWS | 240 | |
| Pro 16GB (G6) | g6.xlarge | 4 | 16 GB | 1 GPU | AWS | 190 |
| Pro 32GB (G6) | g6.2xlarge | 8 | 32 GB | 1 GPU | AWS | 220 |
| Pro 64GB (G6) | g6.4xlarge | 16 | 64 GB | 1 GPU | AWS | 360 |
| Pro 128GB (G6) | g6.8xlarge | 32 | 128 GB | 1 GPU | AWS | 580 |
| Pro 192GB (G6) | g6.12xlarge | 48 | 192 GB | 4 GPUs | AWS | 1300 |
| Pro 256GB (G6) | g6.16xlarge | 64 | 256 GB | 1 GPU | AWS | 1150 |
| Pro 256GB (GR6) | gr6.8xlarge | 32 | 256 GB | 1 GPU | AWS | 650 |
| Air 4GB | D1_V2 | 1 | 4 GB | Azure | 12 | |
| Air 4GB (A2 v2) | A2_V2 | 2 | 4 GB | Azure | 20 | |
| Air 8GB | D2_V2 | 2 | 8 GB | Azure | 24 | |
| Air 8GB (D2 v3) | D2_v3 | 2 | 8 GB | Azure | 30 | |
| Air 8GB (D2s v3) | D2s_v3 | 2 | 8 GB | Azure | 30 | |
| Air 8GB (D2ds v5) | D2ds_v5 | 2 | 8 GB | Azure | 32 | |
| Air 16GB | D4_v3 | 4 | 16 GB | Azure | 60 | |
| Air 16GB (D4s_v3) | D4s_v3 | 4 | 16 GB | Azure | 60 | |
| Air 16GB (D4ds v5) | D4ds_v5 | 4 | 16 GB | Azure | 64 | |
| Pro 56GB | NV6 | 6 | 56 GB | 1 GPU | Azure | 150 |
| Pro 224GB | NV24 | 24 | 224 GB | 4 GPUs | Azure | 600 |
| Pro 14GB (NV v4) | NV4as_v4 | 4 | 14 GB | 1/8 GPU | Azure | 70 |
| Pro 28GB (NV v4) | NV8as_v4 | 8 | 28 GB | 1/4 GPU | Azure | 140 |
| Pro 56GB (NV v4) | NV16as_v4 | 16 | 56 GB | 1/2 GPU | Azure | 280 |
| Pro 112GB (NV v4) | NV32as_v4 | 32 | 112 GB | 1 GPU | Azure | 560 |
| Pro 55GB (NV6 A10v5) | NV6ads_A10_v5 | 6 | 55 GB | 1/6 GPU | Azure | 125 |
| Pro 110GB (NV12 A10v5) | NV12ads_A10_v5 | 12 | 110 GB | 1/3 GPU | Azure | 250 |
| Pro 220GB (NV18 A10v5) | NV18ads_A10_v5 | 18 | 220 GB | 1/2 GPU | Azure | 450 |
| Pro 440GB (NV36 A10v5) | NV36ads_A10_v5 | 36 | 440 GB | 1 GPU | Azure | 850 |
| Edge 8GB | F4 | 4 | 8 GB | Azure | 60 | |
| Edge 32GB | E4_V3 | 2 | 32 GB | Azure | 80 | |
| Edge 64GB (E8 v4) | E8_v4 | 8 | 64 GB | Azure | 160 | |
| Edge 128GB (E16 v4) | E16_v4 | 16 | 128 GB | Azure | ||
| Edge 256GB (E32 v4) | E32_v4 | 32 | 256 GB | Azure | ||
| Pro 122GB (v3) | NV12_v3 | 12 | 122 GB | 1 GPU | Azure | 300 |
| Pro 224GB (v3) | NV24_v3 | 24 | 224 GB | 2 GPUs | Azure | 600 |
| Pro 448GB (v3) | NV48_v3 | 48 | 448 GB | 4 GPUs | Azure | 1200 |
| Pro 28GB (NCas T4) | NC4as_T4_v3 | 4 | 28 GB | 1 GPU | Azure | 140 |
| Pro 56GB (NCas T4) | NC8as_T4_v3 | 8 | 56 GB | 1 GPU | Azure | 220 |
| Pro 110GB (NCas T4) | NC16as_T4_v3 | 16 | 110 GB | 1 GPU | Azure | 360 |
| Pro 440GB (NCas T4) | NC64as_T4_v3 | 64 | 440 GB | 4 GPUs | Azure | 1440 |
| Air 4GB | D1_V2 | 1 | 4 GB | Azure | 12 | |
| Pro 56GB | NV6 | 6 | 56 GB | 1 GPU | Azure | 150 |
| Pro 224GB | NV24 | 24 | 224 GB | 4 GPUs | Azure | |
| Air 8GB | n1-standard-2-Windows | 2 | 8 GB | GCP | 30 | |
| Air 16GB | n1-standard-4-Windows | 4 | 15 GB | GCP | 60 | |
| Air 16GB (N2) | n2-standard-4-Windows | 4 | 15 GB | GCP | 40 | |
| Air 8GB (n2d-standard) | n2d-standard-2-Windows | 2 | 8 GB | GCP | 28 | |
| Air 16GB (n2d-standard) | n2d-standard-4-Windows | 4 | 15 GB | GCP | 56 | |
| Air 30GB (n2d-standard) | n2d-standard-8-Windows | 8 | 30 GB | GCP | 112 | |
| Air 8GB (E2) | e2-standard-2-Windows | 2 | 8 GB | GCP | 24 | |
| Air 16GB (E2) | e2-standard-4-Windows | 4 | 16 GB | GCP | 48 | |
| Pro 16GB | n1-standard-4-GPU-P4-Windows | 4 | 15 GB | 1 GPU | GCP | 150 |
| Pro 60GB | n1-standard-16-GPU-P4-Windows | 16 | 60 GB | 1 GPU | GCP | 300 |
| Pro 8GB (T4) | n1-standard-2-GPU-T4-Windows | 2 | 8 GB | 1 GPU | GCP | 105 |
| Pro 16GB (T4) | n1-standard-4-GPU-T4-Windows | 4 | 30 GB | 1 GPU | GCP | 130 |
| Pro 30GB (T4) | n1-standard-8-GPU-T4-Windows | 8 | 30 GB | 1 GPU | GCP | 185 |
| Pro 60GB (T4) | n1-standard-16-GPU-T4-Windows | 16 | 60 GB | 1 GPU | GCP | 240 |
| Pro 240GB (4xT4) | n1-standard-64-GPU-4-T4-Windows | 64 | 240 GB | 4 GPUs | GCP | 1250 |
| Pro 16GB (L4) | g2-standard-4-Windows | 4 | 16 GB | 1 GPU | GCP | 140 |
| Pro 32GB (L4) | g2-standard-8-Windows | 8 | 32 GB | 1 GPU | GCP | 180 |
| Pro 64GB (L4) | g2-standard-16-Windows | 16 | 64 GB | 1 GPU | GCP | 250 |
| Edge 8GB | n1-highcpu-8-Windows | 8 | 7.2 GB | GCP | 100 | |
| Edge 26GB | n1-highmem-4-Windows | 4 | 26 GB | GCP | 70 | |
| Edge 104GB | n1-highmem-16-Windows | 16 | 104 GB | GCP | 280 | |
| Edge 208GB | n1-highmem-32-Windows | 32 | 208 GB | GCP | 560 | |
| Air 10GB (BX3D) | bx3d-2x10 | 2 | 10 GB | IBM | 25 | |
| Air 20GB (BX3D) | bx3d-4x20 | 4 | 20 GB | IBM | 45 | |
| Air 40GB (BX3D) | bx3d-8x40 | 8 | 40 GB | IBM | 90 | |
| Air 5GB (CX3D) | cx3d-2x5 | 2 | 5 GB | IBM | 25 | |
| Air 10GB (CX3D) | cx3d-4x10 | 4 | 10 GB | IBM | 45 | |
| Air 20GB (CX3D) | cx3d-8x20 | 8 | 20 GB | IBM | 85 | |
| Pro 80GB (GX3) | gx3-16x80x1l4 | 16 | 80 GB | 1 GPU* | IBM | 250 |
| Pro 120GB (GX3) | gx3-24x120x1l40s | 24 | 120 GB | 1 GPU** | IBM | 565 |
| Air 8GB (CX2) | cx2-4x8 | 4 | 8 GB | IBM | 40 | |
| Air 16GB (CX2) | cx2-8x16 | 8 | 16 GB | IBM | 80 | |
| Air 32GB (CX2) | cx2-16x32 | 16 | 32 GB | IBM | 155 | |
| Air 8GB (BX2) | bx2-2x8 | 2 | 8 GB | IBM | 25 | |
| Air 16GB (BX2) | bx2-4x16 | 4 | 16 GB | IBM | 45 | |
| Air 32GB (BX2) | bx2-8x32 | 8 | 32 GB | IBM | 85 | |
| Air 64GB (BX2) | bx2-16x64 | 16 | 64 GB | IBM | 165 | |
| Air 8GB (BX2A) | bx2a-2x8 | 2 | 8 GB | IBM | 25 | |
| Air 16GB (BX2A) | bx2a-4x16 | 4 | 16 GB | IBM | 45 | |
| Air 32GB (BX2A) | bx2a-8x32 | 8 | 32 GB | IBM | 85 | |
| Air 64GB (BX2A) | bx2a-16x64 | 16 | 64 GB | IBM | 165 |
Subscription Types and Overage Policies
Subscription
Subscription Types
Customers wishing to subscribe to Frame (Commercial) may choose from one of the following two subscription types:
- Named user subscriptions
- Per VM subscriptions
Minimum subscription requirements:
-
Cloud PC Complete: 50 users/VMs
-
DaaS: 50 users/VMs
-
Cloud PC Core: 25 users/VMs
Named User Subscription
Named user (NU) subscriptions are based on the number of unique users that log into Frame (across all Organizations and across all Accounts within a customer's tenant) during a Monthly Billing Cycle (MBC). For each MBC, the subset of unique users can be different. In Frame, a unique user is defined as a user who has authenticated to a specific, customer-configured identity provider with an email address. If the customer configures two identity providers and the user logs into Frame using both identity providers (even with the same email address) in a MBC, the user will be counted as two unique users.
Per VM Subscription
Per VM subscriptions define the maximum number of users that can connect concurrently to Frame workload VMs in a Monthly Billing Cycle (MBC). Since each user is assigned their own non-persistent workload VM for the life of their session or a dedicated persistent desktop, the maximum number of concurrent user subscriptions is equal to the maximum number of workload VMs provisioned in all test and production pools in all Frame Accounts, under all Organizations for the customer.
Overages
Customers may choose to exceed their pre-paid subscription commitments during a Monthly Billing Cycle (MBC). If this occurs, Frame will invoice the customer for this “overage.” This page discusses how Frame determines whether the customer has incurred overage during an MBC. Instructions for paying the overage can be found at the bottom of the page.
Named User
At the end of each MBC, Frame calculates the number of unique named users who have logged into Frame during the MBC. The difference between the actual number of unique users and the number of named user subscriptions purchased, if greater than 0, is the named user subscription overage that will be billed to the customer. If the customer purchased via credit card, the user subscription overage will be billed to the credit card on file at the “pay as you go” rate. If the customer purchased via purchase order, then Frame will invoice the customer for the named user subscription overage at the named user subscription list price.
Per VM
At the end of each MBC, Frame computes the sum of all test and production pool “max” Default Capacity values set in all Frame accounts, under all Organization entities, for the customer's tenant. Overage is defined the difference between the sum of all test and production pool max values and per VM subscriptions purchased. If this value is greater than 0, then Frame will invoice the customer for the per VM subscription overage at the per VM subscription list price.
Microsoft RDS SAL
For customers who choose to purchase Microsoft Remote Desktop Services Subscriber Access Licenses (RDS SALs) from Frame, at the end of each MBC, Frame calculates the number of unique named users who have logged into Frame during the MBC. The difference between the actual number of unique users and the number of Microsoft RDS SALs purchased, if greater than 0, is the Microsoft RDS SAL overage that will be billed to the customer.
If the customer purchased named user subscriptions via credit card, the Microsoft RDS SAL overage will be included as part of the named user subscription overage and billed to the credit card on file at the “pay as you go” rate. If the customer purchased via purchase order, then Frame will invoice the customer for the Microsoft RDS SAL overage at the RDS SAL list price.
IaaS Credits
For customers who purchase Frame IaaS Credits to run their workloads on Frame-managed public cloud infrastructure subscriptions, at the end of each MBC, Frame calculates the total amount of IaaS Credits used and deducts the credits from the customer's IaaS Credit balance. If the customer's IaaS Credit balance goes below zero credits, the IaaS Credit overage will be billed to the customer. If the customer purchased via credit card, the overage will be billed to the credit card on file at the “pay as you go” rate. If the customer purchased via purchase order, then Frame will invoice the customer for the IaaS Credit overage at the IaaS Credit list price.
Paying for Overages
You will receive an overage invoice direct from Dizzion with payment instructions.
Cloud PC Flex Credit Rates
Flex Credits offer a consumption-based pricing model that gives you full freedom to scale, resize, and reallocate desktops without modifying your contract. Choose from prepaid annual commit, monthly pay annual commit, or no-commit options.
Flex Credit rates vary based on public cloud, region, size of the Cloud PC, and Core vs Complete. See sections below for more details.
To calculate estimated Flex Credits required, find the appropriate Cloud PC product in the desired Cloud Provider and Region, then multiply the Flex Credit price by the number of VMs. Repeat this step for each applicable Cloud PC product and Add-On products, then add the values together to get your total monthly Flex Credit budget. For prepaid annual commit, multiply by 12.
Example:
- AWS Workspaces Core > US East > Standard - 4x16-8050 (Core) = 63 credits per VM per month for 50 VMs = 3,150 credits per month x 12 months = 37,800 credits annually
- Dizzion Halo at 15 credits per user per month for 50 users = 750 credits per month x 12 months = 9,000 credits annually
- 37,800 + 9,000 = 46,800 credits annually
AWS Workspaces Core
| Region | Name | vCPU | Memory (GB) | GPU | Root Volume (GB) | User Volume (GB) | Cloud PC Core - Flex Credit Price (Per VM Per Month) | Cloud PC Complete - Flex Credit Price (Per VM Per Month) |
| NA - US (East) | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 45 | 65 |
| NA - US (East) | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 46 | 66 |
| NA - US (East) | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 48 | 68 |
| NA - US (East) | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 52 | 72 |
| NA - US (East) | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 62 | 82 |
| NA - US (East) | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 63 | 83 |
| NA - US (East) | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 64 | 84 |
| NA - US (East) | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 67 | 87 |
| NA - US (East) | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 99 | 119 |
| NA - US (East) | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 101 | 121 |
| NA - US (East) | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 104 | 124 |
| NA - US (East) | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 108 | 128 |
| NA - US (East) | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 370 | 390 |
| NA - US (East) | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 648 | 668 |
| NA - US (West) | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 45 | 65 |
| NA - US (West) | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 46 | 66 |
| NA - US (West) | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 48 | 68 |
| NA - US (West) | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 52 | 72 |
| NA - US (West) | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 62 | 82 |
| NA - US (West) | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 63 | 83 |
| NA - US (West) | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 64 | 84 |
| NA - US (West) | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 67 | 87 |
| NA - US (West) | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 99 | 119 |
| NA - US (West) | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 101 | 121 |
| NA - US (West) | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 104 | 124 |
| NA - US (West) | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 108 | 128 |
| NA - US (West) | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 370 | 390 |
| NA - US (West) | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 648 | 668 |
| NA - Canada | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 47 | 67 |
| NA - Canada | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 50 | 70 |
| NA - Canada | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 53 | 73 |
| NA - Canada | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 58 | 78 |
| NA - Canada | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 66 | 86 |
| NA - Canada | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 68 | 88 |
| NA - Canada | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 71 | 91 |
| NA - Canada | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 73 | 93 |
| NA - Canada | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 112 | 132 |
| NA - Canada | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 115 | 135 |
| NA - Canada | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 119 | 139 |
| NA - Canada | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 127 | 147 |
| NA - Canada | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 411 | 431 |
| NA - Canada | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 724 | 744 |
| AP - Mumbai | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 56 | 76 |
| AP - Mumbai | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 58 | 78 |
| AP - Mumbai | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 60 | 80 |
| AP - Mumbai | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 66 | 86 |
| AP - Mumbai | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 92 | 112 |
| AP - Mumbai | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 93 | 113 |
| AP - Mumbai | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 95 | 115 |
| AP - Mumbai | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 97 | 117 |
| AP - Mumbai | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 128 | 148 |
| AP - Mumbai | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 131 | 151 |
| AP - Mumbai | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 134 | 154 |
| AP - Mumbai | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 138 | 158 |
| AP - Mumbai | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 557 | 577 |
| AP - Mumbai | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 983 | 1003 |
| AP - Seoul | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 52 | 72 |
| AP - Seoul | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 55 | 75 |
| AP - Seoul | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 58 | 78 |
| AP - Seoul | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 63 | 83 |
| AP - Seoul | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 72 | 92 |
| AP - Seoul | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 75 | 95 |
| AP - Seoul | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 77 | 97 |
| AP - Seoul | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 80 | 100 |
| AP - Seoul | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 112 | 132 |
| AP - Seoul | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 116 | 136 |
| AP - Seoul | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 119 | 139 |
| AP - Seoul | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 124 | 144 |
| AP - Seoul | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 402 | 422 |
| AP - Seoul | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 707 | 727 |
| AP - Singapore | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 56 | 76 |
| AP - Singapore | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 58 | 78 |
| AP - Singapore | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 60 | 80 |
| AP - Singapore | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 66 | 86 |
| AP - Singapore | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 92 | 112 |
| AP - Singapore | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 93 | 113 |
| AP - Singapore | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 95 | 115 |
| AP - Singapore | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 97 | 117 |
| AP - Singapore | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 128 | 148 |
| AP - Singapore | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 131 | 151 |
| AP - Singapore | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 134 | 154 |
| AP - Singapore | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 138 | 158 |
| AP - Singapore | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 493 | 513 |
| AP - Singapore | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 871 | 891 |
| AP - Sydney | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 52 | 72 |
| AP - Sydney | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 54 | 74 |
| AP - Sydney | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 56 | 76 |
| AP - Sydney | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 62 | 82 |
| AP - Sydney | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 83 | 103 |
| AP - Sydney | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 85 | 105 |
| AP - Sydney | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 87 | 107 |
| AP - Sydney | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 89 | 109 |
| AP - Sydney | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 115 | 135 |
| AP - Sydney | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 117 | 137 |
| AP - Sydney | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 120 | 140 |
| AP - Sydney | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 124 | 144 |
| AP - Sydney | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 441 | 461 |
| AP - Sydney | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 796 | 816 |
| AP - Tokyo | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 54 | 74 |
| AP - Tokyo | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 56 | 76 |
| AP - Tokyo | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 58 | 78 |
| AP - Tokyo | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 63 | 83 |
| AP - Tokyo | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 87 | 107 |
| AP - Tokyo | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 89 | 109 |
| AP - Tokyo | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 91 | 111 |
| AP - Tokyo | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 93 | 113 |
| AP - Tokyo | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 122 | 142 |
| AP - Tokyo | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 124 | 144 |
| AP - Tokyo | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 128 | 148 |
| AP - Tokyo | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 132 | 152 |
| AP - Tokyo | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 473 | 493 |
| AP - Tokyo | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 828 | 848 |
| EU - Frankfurt | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 50 | 70 |
| EU - Frankfurt | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 52 | 72 |
| EU - Frankfurt | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 54 | 74 |
| EU - Frankfurt | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 58 | 78 |
| EU - Frankfurt | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 71 | 91 |
| EU - Frankfurt | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 73 | 93 |
| EU - Frankfurt | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 74 | 94 |
| EU - Frankfurt | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 77 | 97 |
| EU - Frankfurt | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 114 | 134 |
| EU - Frankfurt | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 116 | 136 |
| EU - Frankfurt | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 119 | 139 |
| EU - Frankfurt | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 124 | 144 |
| EU - Frankfurt | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 432 | 452 |
| EU - Frankfurt | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 766 | 786 |
| EU - Ireland | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 47 | 67 |
| EU - Ireland | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 48 | 68 |
| EU - Ireland | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 51 | 71 |
| EU - Ireland | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 56 | 76 |
| EU - Ireland | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 64 | 84 |
| EU - Ireland | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 66 | 86 |
| EU - Ireland | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 67 | 87 |
| EU - Ireland | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 69 | 89 |
| EU - Ireland | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 99 | 119 |
| EU - Ireland | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 101 | 121 |
| EU - Ireland | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 104 | 124 |
| EU - Ireland | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 108 | 128 |
| EU - Ireland | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 370 | 390 |
| EU - Ireland | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 649 | 669 |
| EU - London | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 58 | 78 |
| EU - London | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 60 | 80 |
| EU - London | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 62 | 82 |
| EU - London | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 68 | 88 |
| EU - London | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 78 | 98 |
| EU - London | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 80 | 100 |
| EU - London | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 84 | 104 |
| EU - London | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 89 | 109 |
| EU - London | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 113 | 133 |
| EU - London | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 117 | 137 |
| EU - London | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 122 | 142 |
| EU - London | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 129 | 149 |
| EU - London | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 419 | 439 |
| EU - London | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 736 | 756 |
| Israel - Tel Aviv | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 44 | 64 |
| Israel - Tel Aviv | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 45 | 65 |
| Israel - Tel Aviv | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 48 | 68 |
| Israel - Tel Aviv | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 52 | 72 |
| Israel - Tel Aviv | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 60 | 80 |
| Israel - Tel Aviv | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 61 | 81 |
| Israel - Tel Aviv | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 62 | 82 |
| Israel - Tel Aviv | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 64 | 84 |
| Israel - Tel Aviv | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 91 | 111 |
| Israel - Tel Aviv | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 93 | 113 |
| Israel - Tel Aviv | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 95 | 115 |
| Israel - Tel Aviv | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 99 | 119 |
| Israel - Tel Aviv | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 335 | 355 |
| Israel - Tel Aviv | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 586 | 606 |
| SA - Sao Paulo | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 68 | 88 |
| SA - Sao Paulo | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 69 | 89 |
| SA - Sao Paulo | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 72 | 92 |
| SA - Sao Paulo | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 79 | 99 |
| SA - Sao Paulo | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 102 | 122 |
| SA - Sao Paulo | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 104 | 124 |
| SA - Sao Paulo | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 108 | 128 |
| SA - Sao Paulo | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 113 | 133 |
| SA - Sao Paulo | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | 182 | 202 |
| SA - Sao Paulo | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 187 | 207 |
| SA - Sao Paulo | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 194 | 214 |
| SA - Sao Paulo | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 204 | 224 |
| SA - Sao Paulo | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 675 | 695 |
| SA - Sao Paulo | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 1195 | 1215 |
| EU - Paris | Lite - 2x8-8010 | 2 | 8 | - | 80 | 10 | 49 | 69 |
| EU - Paris | Lite - 2x8-8050 | 2 | 8 | - | 80 | 50 | 51 | 71 |
| EU - Paris | Lite - 2x8-80100 | 2 | 8 | - | 80 | 100 | 53 | 73 |
| EU - Paris | Lite - 2x8-175100 | 2 | 8 | - | 175 | 100 | 58 | 78 |
| EU - Paris | Standard - 4x16-8010 | 4 | 16 | - | 80 | 10 | 69 | 89 |
| EU - Paris | Standard - 4x16-8050 | 4 | 16 | - | 80 | 50 | 70 | 90 |
| EU - Paris | Standard - 4x16-80100 | 4 | 16 | - | 80 | 100 | 72 | 92 |
| EU - Paris | Standard - 4x16-175100 | 4 | 16 | - | 175 | 100 | 75 | 95 |
| EU - Paris | Power - 8x32-8010 | 8 | 32 | - | 80 | 10 | N/A | N/A |
| EU - Paris | Power - 8x32-8050 | 8 | 32 | - | 80 | 50 | 114 | 134 |
| EU - Paris | Power - 8x32-80100 | 8 | 32 | - | 80 | 100 | 118 | 138 |
| EU - Paris | Power - 8x32-175100 | 8 | 32 | - | 175 | 100 | 122 | 142 |
| EU - Paris | Pro-GPU - 4x16-100100 | 4 | 16 | 1 NVIDIA T4 | 100 | 100 | 426 | 446 |
| EU - Paris | Max-GPU - 16x64-100100 | 16 | 64 | 1 NVIDIA T4 | 100 | 100 | 749 | 769 |
IBM Cloud VPC
| Region | Name | vCPU | Memory | GPU | Storage Volume (GB) | Cloud PC Core - Flex Credit Price (Per VM Per Month) | Cloud PC Complete - Flex Credit Price (Per VM Per Month) |
| NA Dallas | Lite - 2x10-100 | 2 | 10 | - | 100 | 54 | 74 |
| NA Dallas | Standard - 4x20-100 | 4 | 20 | - | 100 | 73 | 93 |
| NA Dallas | Power - 8x40-100 | 8 | 40 | - | 100 | 121 | 141 |
| NA Dallas | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 570 | 590 |
| NA Dallas | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1181 | 1201 |
| NA Dallas | Add'l 10GB Storage Volume | - | - | - | 10 | 0.7 | 0.7 |
| NA Montreal | Lite - 2x10-100 | 2 | 10 | - | 100 | 56 | 76 |
| NA Montreal | Standard - 4x20-100 | 4 | 20 | - | 100 | 77 | 97 |
| NA Montreal | Power - 8x40-100 | 8 | 40 | - | 100 | 127 | 147 |
| NA Montreal | Add'l 10GB Storage Volume | - | - | - | 10 | 0.8 | 0.8 |
| NA Toronto | Lite - 2x10-100 | 2 | 10 | - | 100 | 56 | 76 |
| NA Toronto | Standard - 4x20-100 | 4 | 20 | - | 100 | 77 | 97 |
| NA Toronto | Power - 8x40-100 | 8 | 40 | - | 100 | 127 | 147 |
| NA Toronto | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 603 | 623 |
| NA Toronto | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1251 | 1271 |
| NA Toronto | Add'l 10GB Storage Volume | - | - | - | 10 | 0.8 | 0.8 |
| NA WDC | Lite - 2x10-100 | 2 | 10 | - | 100 | 54 | 74 |
| NA WDC | Standard - 4x20-100 | 4 | 20 | - | 100 | 73 | 93 |
| NA WDC | Power - 8x40-100 | 8 | 40 | - | 100 | 121 | 141 |
| NA WDC | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 570 | 590 |
| NA WDC | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1181 | 1201 |
| NA WDC | Add'l 10GB Storage Volume | - | - | - | 10 | 0.7 | 0.7 |
| EU Frankfurt | Lite - 2x10-100 | 2 | 10 | - | 100 | 55 | 75 |
| EU Frankfurt | Standard - 4x20-100 | 4 | 20 | - | 100 | 74 | 94 |
| EU Frankfurt | Power - 8x40-100 | 8 | 40 | - | 100 | 121 | 141 |
| EU Frankfurt | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 571 | 591 |
| EU Frankfurt | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1182 | 1202 |
| EU Frankfurt | Add'l 10GB Storage Volume | - | - | - | 10 | 0.9 | 0.9 |
| EU London | Lite - 2x10-100 | 2 | 10 | - | 100 | 59 | 79 |
| EU London | Standard - 4x20-100 | 4 | 20 | - | 100 | 81 | 101 |
| EU London | Power - 8x40-100 | 8 | 40 | - | 100 | 134 | 154 |
| EU London | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 642 | 662 |
| EU London | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1332 | 1352 |
| EU London | Add'l 10GB Storage Volume | - | - | - | 10 | 0.8 | 0.8 |
| EU Madrid | Lite - 2x10-100 | 2 | 10 | - | 100 | 60 | 80 |
| EU Madrid | Standard - 4x20-100 | 4 | 20 | - | 100 | 82 | 102 |
| EU Madrid | Power - 8x40-100 | 8 | 40 | - | 100 | 137 | 157 |
| EU Madrid | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 658 | 678 |
| EU Madrid | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1367 | 1387 |
| EU Madrid | Add'l 10GB Storage Volume | - | - | - | 10 | 0.9 | 0.9 |
| AP Osaka | Lite - 2x10-100 | 2 | 10 | - | 100 | 59 | 79 |
| AP Osaka | Standard - 4x20-100 | 4 | 20 | - | 100 | 81 | 101 |
| AP Osaka | Power - 8x40-100 | 8 | 40 | - | 100 | 134 | 154 |
| AP Osaka | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 642 | 662 |
| AP Osaka | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1332 | 1352 |
| AP Osaka | Add'l 10GB Storage Volume | - | - | - | 10 | 0.9 | 0.9 |
| AP Sydney | Lite - 2x10-100 | 2 | 10 | - | 100 | 61 | 81 |
| AP Sydney | Standard - 4x20-100 | 4 | 20 | - | 100 | 85 | 105 |
| AP Sydney | Power - 8x40-100 | 8 | 40 | - | 100 | 142 | 162 |
| AP Sydney | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 680 | 700 |
| AP Sydney | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1414 | 1434 |
| AP Sydney | Add'l 10GB Storage Volume | - | - | - | 10 | 0.9 | 0.9 |
| AP Tokyo | Lite - 2x10-100 | 2 | 10 | - | 100 | 61 | 81 |
| AP Tokyo | Standard - 4x20-100 | 4 | 20 | - | 100 | 84 | 104 |
| AP Tokyo | Power - 8x40-100 | 8 | 40 | - | 100 | 141 | 161 |
| AP Tokyo | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 680 | 700 |
| AP Tokyo | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1414 | 1434 |
| AP Tokyo | Add'l 10GB Storage Volume | - | - | - | 10 | 0.9 | 0.9 |
| SA Sao Paulo | Lite - 2x10-100 | 2 | 10 | - | 100 | 59 | 79 |
| SA Sao Paulo | Standard - 4x20-100 | 4 | 20 | - | 100 | 81 | 101 |
| SA Sao Paulo | Power - 8x40-100 | 8 | 40 | - | 100 | 134 | 154 |
| SA Sao Paulo | Pro-GPU - 16x80-100 | 16 | 80 | 1 NVIDIA L4 | 100 | 642 | 662 |
| SA Sao Paulo | Max-GPU - 24x120-100 | 24 | 120 | 1 NVIDIA L40S | 100 | 1332 | 1352 |
| SA Sao Paulo | Add'l 10GB Storage Volume | - | - | - | 10 | 1 | 1 |
Add-On Products
| Product Name | Description | Flex Credit Price | Unit of Measure |
| Private Network Access (HA Streaming Gateway Appliance) | Secure reverse proxy that enables users to access Cloud PCs without VPN. Supports Frame Remoting Protocol. | 500 | Per Pair Per Month |
| Utility Server – Small (2x8) | Small Utility Server, with minimum of 2vCPU, and 8GB RAM Configuration may vary based on Cloud Provider. Storage may be purchased seperately. | 125 | Per VM Per Month |
| Utility Server – Medium (4x16) | Medium Utility Server, with minimum of 4vCPU, and 16GB RAM. Configuration may vary based on Cloud Provider. Storage may be purchased seperately. | 265 | Per VM Per Month |
| Utility Server – Large (8x32) | Large Utility Server, with minimum of 8vCPU, and 32GB RAM. Configuration may vary based on Cloud Provider. Storage may be purchased seperately. | 525 | Per VM Per Month |
| Site To Site VPN | Site To Site Virtual Private Network to connect your Cloud PCs to your applications and resources. | 50 | Per VPN Per Month |
| Security Pulse | Vulnerability & Risk Monitoring for Cloud PCs | 12 | Per Cloud PC VM Per Month |
| Microsoft OS License - Windows 11 | Microsoft OS License - Windows 11 | 4 | Per Cloud PC VM Per Month |
| Directory Services (Azure AD, AD DS) | Identity and access management for your Cloud PCs | 2 | Per User Per Month |
| CrowdStrike Advanced Threat Protection | Machine learning, real-time threat intelligence, and endpoint detection and response (EDR) to detect and prevent malware and security breaches, including zero-day threats. | 4 | Per Cloud PC VM Per Month |
| Dizzion Halo | Halo is a "Secure Every Browser" platform that protects every browser session on any device. Gain real-time visibility, enforce zero-trust policies, and block advanced threats all without requiring users to switch browsers. | 15 | Per User Per Month |
| Additional Network Transfer (Overage) | Network Transfer, per GB, used in addition to the amount included per Cloud PC. | 0.1 | Per GB |
DaaS Flex Credit Rates
Flex Credits offer a consumption-based pricing model that gives you full freedom to scale, resize, and reallocate desktops without modifying your contract. Choose from prepaid annual commit, monthly pay annual commit, or no-commit options.
To calculate estimated Flex Credits required, find the appropriate DaaS product, then multiply the Flex Credit price by the number of VMs or users. Repeat this step for each applicable Add-On product, then add the values together to get your total monthly Flex Credit budget. For prepaid annual commit, multiply by 12.
Example:
-
- Standard per VM at 26 credits per VM per month for 50 VMs = 1,300 credits per month x 12 months = 15,600 credits annually
- Dizzion Halo at 15 credits per user per month for 100 users = 1,500 credits per month x 12 months = 18,000 credits annually
- 15,600 + 18,000 = 33,600 credits annually
Per User
Per VM
Add-On Products
| Product Name | Description | Flex Credit Price | Unit of Measure |
| Security Pulse | Vulnerability & Risk Monitoring for Cloud PCs | 12 | Per Cloud PC VM Per Month |
| Microsoft OS License - Windows 11 | Microsoft OS License - Windows 11 | 4 | Per Cloud PC VM Per Month |
| Directory Services (Azure AD, AD DS) | Identity and access management for your users | 2 | Per User Per Month |
| Dizzion Halo | Halo is a "Secure Every Browser" platform that protects every browser session on any device. Gain real-time visibility, enforce zero-trust policies, and block advanced threats all without requiring users to switch browsers. | 15 | Per User Per Month |