This topic describes the features of GPU-accelerated virtualization instance families and lists the instance types of each family.
- Recommended instance families
vgn6i, lightweight GPU-accelerated compute optimized instance family
- Other available instance families
vgn5i, lightweight GPU-accelerated compute optimized instance family
To use a GPU-accelerated virtualization instance, you must install a GRID driver on the instance. Click here to go to the NVIDIA official website and purchase a GRID license. After you create an instance, you can manually install the GRID driver and activate the license.
vgn6i, lightweight GPU-accelerated compute optimized instance family
vgn6i is in invitational preview. To use vgn6i, submit a ticket.
Features
- Is an instance family in which all instances are I/O optimized.
- Supports standard SSDs and ultra disks only.
- Uses NVIDIA T4 GPU computing accelerators.
- Contains virtual GPUs generated from GPU slice virtualization.
- Supports the 1/4 and 1/2 computing capacity of NVIDIA Tesla T4 GPUs.
- Supports 4 GB and 8 GB of GPU video memory.
- Offers a CPU-to-memory ratio of 1:5.
- Uses 2.5 GHz Intel ® Xeon ® Platinum 8163 (Skylake) processors.
- Provides high network performance based on large computing capacity.
- Applies to the following scenarios:
- Real-time rendering for cloud games
- Real-time rendering for AR and VR applications
- AI (deep learning and machine learning) inference for elastic Internet service deployment
- Educational environment of deep learning
- Modeling experiment environment of deep learning
Instance types
| Instance type | vCPU | Memory (GiB) | Local storage (GiB) | GPU | GPU memory (GB) | Bandwidth (Gbit/s) | Packet forwarding rate (Kpps) | IPv6 support | NIC queues | ENIs (including one primary ENI) | Private IP addresses per ENI |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ecs.vgn6i-m4.xlarge | 4 | 23.0 | None | T4*1/4 | 4 | 3.0 | 500 | Yes | 2 | 4 | 10 |
| ecs.vgn6i-m8.2xlarge | 10 | 46.0 | None | T4*1/2 | 8 | 4.0 | 800 | Yes | 4 | 5 | 20 |
Note
- You can go to the ECS Instance Types Available for Each Region page to view the instance types available in each region.
- For more information about these specifications, see Description of instance specifications.
vgn5i, lightweight GPU-accelerated compute optimized instance family
Features
- Is an instance family in which all instances are I/O optimized.
- Supports standard SSDs and ultra disks only.
- Uses NVIDIA P4 GPU computing accelerators.
- Contains virtual GPUs generated from GPU slice virtualization.
- Supports the 1/8, 1/4, 1/2, and 1/1 computing capacity of NVIDIA Tesla P4 GPUs.
- Supports 1 GB, 2 GB, 4 GB, and 8 GB of GPU video memory.
- Offers a CPU-to-memory ratio of 1:3.
- Uses 2.5 GHz Intel ® Xeon ® E5-2682 v4 (Broadwell) processors.
- Provides high network performance based on large computing capacity.
- Applies to the following scenarios:
- Real-time rendering for cloud games
- Real-time rendering for AR and VR applications
- AI (deep learning and machine learning) inference for elastic Internet service deployment
- Educational environment of deep learning
- Modeling experiment environment of deep learning
Instance types
| Instance type | vCPU | Memory (GiB) | Local storage (GiB) | GPU | GPU memory (GB) | Bandwidth (Gbit/s) | Packet forwarding rate (Kpps) | IPv6 support | NIC queues | ENIs (including one primary ENI) | Private IP addresses per ENI |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ecs.vgn5i-m1.large | 2 | 6.0 | None | P4*1/8 | 1 | 1.0 | 300 | Yes | 2 | 2 | 6 |
| ecs.vgn5i-m2.xlarge | 4 | 12.0 | None | P4*1/4 | 2 | 2.0 | 500 | Yes | 2 | 3 | 10 |
| ecs.vgn5i-m4.2xlarge | 8 | 24.0 | None | P4*1/2 | 4 | 3.0 | 800 | Yes | 2 | 4 | 10 |
| ecs.vgn5i-m8.4xlarge | 16 | 48.0 | None | P4*1 | 8 | 5.0 | 1,000 | Yes | 4 | 5 | 20 |
Note
- You can go to the ECS Instance Types Available for Each Region page to view the instance types available in each region.
- For more information about these specifications, see Description of instance specifications.