GPU accelerated ECS can provide excellent floating-point computing power that can handle scenarios with high-real-time and high-concurrency massive computing. It is especially suitable for applications such as deep learning, scientific computing, CAE, 3D animation rendering, CAD, etc.

GPU accelerated GCS can be divided into Graphics Accelerated Basic Type (G5 and G6) and Computing Accelerated Type (P2V and Pi2).

G5 GCS

Based on NVIDIA GRID virtualization GPU technology, G5 GCS provides comprehensive professional-level graphics acceleration capabilities. Powered by NVIDIA Tesla V100 GPU graphics cards, which support DirectX, OpenGL, and Vulkan interfaces with 2/8/16 GB graphics memory and the maximum resolution of 4096*2160, G5 GCS meets the graphics processing needs from entry level to professional grade.

Specifications	vCPU	Memory (GB)	GPU	Video Memory (GB)	Virtualization Type
g5.2xlarge.2.1	8	16	V100-2Q	2	KVM
g5.2xlarge.2	8	32	V100-4Q	4	KVM
g5.2xlarge.8	8	64	V100-16Q	16	KVM
g5.4xlarge.4	16	64	V100-8Q	8	KVM
g5.8xlarge.4	32	128	V100-16Q	16	KVM

Functions of the G5 GCS are as follows:

vCPU/Memory ratio is 1:4/1:2/1:8.
Support graphics acceleration interface:

DirectX 12, Direct2D, DirectX Video Acceleration (DXVA)

OpenGL 4.5

Vulkan 1.0

Support CUDA* and OpenCL.
Support the Quadro vDWS feature to provide acceleration for professional graphics applications.
Support NVIDIA V100 GPU card.
Support graphics acceleration applications.
Provide GPU virtualization (vGPU).
Provide the same application process as the GCS.
Automatically dispatch G5 GCS to availability zones equipped with NVIDIA V100 GPU cards.
Provide graphics and image processing capabilities with a maximum video memory of 16GiB and a resolution of 4096×2160.

Supported Typical Apps List

G5 GCS is mainly used for graphics acceleration scenarios, such as image rendering, cloud desktop, and 3D visualization. If the Apps rely on the DirectX and OpenGL hardware acceleration capabilities of the GPU, the G5 GCS can be used. The list of supported typical graphic processing software is as follows:

AutoCAD
3DS MAX
MAYA
Agisoft PhotoScan
ContextCapture

Notice for Use

The G5 GCS currently supports the following operating systems:
Windows Server 2016 Standard 64bit
Windows Server 2012 Standard 64bit
CentOS 7.5 64bit
CentOS 7.6 64bit
Ubuntu Server 16.04 64bit

G6 GCS

Powered by NVIDIA Tesla T4 GPU graphics cards, which support DirectX, OpenGL, and Vulkan interfaces with 8GiB graphics memory,Pixel Rate of 101.8GPixel/s and Texture Rate of 254.4GTexel/s, G6 GCS meets the needs of professional-grade graphics processing.

Specifications	vCPU	Memory (GB)	GPU	Video Memory (GB)	Virtualization Type
g6.xlarge.4	4	16	T4-4Q	4	KVM
g6.2xlarge.4	8	32	T4-8Q	8	KVM

Supported Typical Apps List

G6 GCS is mainly used for graphics acceleration scenarios, such as image rendering, cloud desktop, and 3D visualization. If the Apps rely on the DirectX and OpenGL hardware acceleration capabilities of the GPU, the G6 GCS can be used. The list of supported typical graphic processing software is as follows:

AutoCAD
3DS MAX
MAYA
Agisoft PhotoScan
ContextCapture

Notice for Use

The G6 GCS currently supports the following operating systems:

Windows Server 2016 Standard 64bit
Windows Server 2012 Standard 64bit
CentOS 7.5 64bit
CentOS 7.6 64bit
Ubuntu Server 16.04 64bit

P2V GCS

Powered by NVIDIA Tesla V100 GPUs, P2V GCS provides high performance computing power and excellent cost efficiency while offering cloud server flexibility. P2V GCS supports GPU NVLink technology, which enables direct communication and improves data transfer efficiency between GPUs. It provides ultra-high universal computing power, and is applicable to AI deep learning and scientific computing, with great computing advantages in fields such as deep learning training, scientific computing, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, etc.

Specifications	vCPU	Memory (GB)	GPU	Video Memory (GB)	Virtualization Type
p2v.4xlarge.8	16	128	1*V100	2*16GB	KVM
p2v.8xlarge.8	32	256	2*V100	4*16GB	KVM

Supported Typical Apps List

P2V GCS is mainly used for computing acceleration scenarios such as deep learning training, inference, scientific computing, molecular modeling, seismic analysis, etc. If the Apps use the CUDA parallel computing capability of the GPU, the P2V GCS can be used. The list of supported Apps is as follows:

Tensorflow, Caffe, PyTorch, MXNet and other common deep learning frameworks
RedShift for Autodesk 3dsMax, V-Ray for 3ds Max, etc. that support CUDA GPU rendering
Agisoft PhotoScan
MapD

Notice for Use

The P2V GCS currently supports the following operating systems:

Windows Server 2016 Datacenter 64bit
Windows Server 2012 Standard 64bit
CentOS 7.6 64bit
CentOS 7.5 64bit
CentOS 7.4 64bit
CentOS 7.3 64bit
CentOS 7.2 64bit
Ubuntu Server 16.04 64bit

Pi2 GCS

Powered by NVIDIA Tesla T4 GPUs specially built for AI reasoning, Pi2 GCS can provide superb real-time reasoning capabilities. Pi2 GCS is capable of delivering up to 130 TOPS of INT8 computing power with the NVIDIA T4 INT8 arithmetic unit. Pi2 GCS can also support lightweight training scenarios.

Specifications	vCPU	Memory (GB)	GPU	Video Memory (GB)	Virtualization Type
pi2.2xlarge.4	8	32	1×T4	1×16GB	KVM
pi2.4xlarge.4	16	64	2×T4	2×16GB	KVM
pi2.8xlarge.4	32	128	4×T4	4×16GB	KVM

Supported Typical Apps List

Pi2 instances are mainly used for GPU inference computing scenarios, such as image recognition, speech recognition, natural language processing, etc. Lightweight training scenarios are also supported.

The list of supported Apps is as follows:

Tensorflow, Caffe, PyTorch, MXNet and other deep learning frameworks

Notice for Use

For Pi2 GCS, basic resources (including vCPU, memory and images) are not billed after shutdown, but the system disk will still be charged for the corresponding capacity. If there are other bound products such as EVS, EIP, bandwidth, etc., these products will be charged according to their respective billing modes.

Note: For Pi2 GCS, the resources will be released after shutdown. If the background resources are insufficient at the next startup, the GCS may fail to start. If you need to use the GCS for a long time, it is recommended to keep it started.

Pi2 GCS currently supports the following operating systems:

Windows Server 2016 Datacenter 64bit
Windows Server 2012 Standard 64bit
Windows Server 2008 Standard 64bit
CentOS 7.6 64bit
CentOS 7.5 64bit
CentOS 7.4 64bit
CentOS 7.3 64bit
CentOS 7.2 64bit
CentOS 6.8 64bit
Ubuntu Server 16.04 64bit

Details of the NVIDIA Tesla graphics card:

V100 graphics card: https://www.nvidia.com/en-us/data-center/v100/

T4 graphics card:https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/solutions/resources/documents1/Datasheet_NVIDIA_T4_Virtualization.pdf

GPU Cloud Server

Product Specifications