Subscription Management

Billing and subscription information

Subscription Information

IaaS Credit Rates, Subscription Types, Overage Policies, Cloud PC Flex Credit Rates, DaaS Flex Credit Rates

Subscription Information

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.

To request support for new instance types, please submit a support ticket detailing the requested instances and your use case. Support for new instance types will be added based on demand, availability, performance, and compatibility.

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 Information

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:

Minimum subscription requirements:

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.

As a best practice, customers who purchase named user subscriptions should have each user authenticate to only one identity provider to access Frame. Otherwise, if a user authenticates to more than one identity provider (even using the same email address), customers risk having that user consume more than one named user subscription in a MBC.

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.

Frame IaaS Credit consumption rates and specifications for each instance type and storage by IaaS provider can be found on our Pricing page.

Paying for Overages

You will receive an overage invoice direct from Dizzion with payment instructions.

Subscription Information

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
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
Flex Credit pricing for Cloud PC Add-On products is universal for all Cloud Providers and Regions. 
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


Subscription Information

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: 

Per User

Standard: 18 credits per user per month
Education: 12 credits per user per month

Per VM

Standard: 26 credits per VM per month
Education: 16 credits per VM per month

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