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Rendering Instance

Last updated: 2024-07-17 17:18:50
    GPU rendering instances support GPU-based traditional graphics and image processing, such as 3D rendering. They provide a fast, stable, and elastic computing service and can be managed just like CVM instances.

    Use Cases

    High-performance graphics processing and 3D rendering, such as:
    Nonlinear editing
    Cloud game
    Cloud phone
    Cloud desktop
    CloudXR
    Graphics and image processing

    Overview

    GPU Rendering instances are available in the following types:
    Instance
    GPU Type
    Available Image
    Available Zone
    GNV4v
    NVIDIA A10
    Windows Server 2019 Datacenter 64-bit CN GRID16.2
    Windows Server 2022 Datacenter 64-bit CN GRID16.2
    Beijing, Shanghai, and Guangzhou
    GNV4
    NVIDIA A10
    CentOS 7.2 or later
    Ubuntu 16.04 or above
    Windows Server 2019 Datacenter 64-bit CN GRID16.2
    Windows Server 2022 Datacenter 64-bit CN GRID16.2
    Beijing, Shanghai, Guangzhou, and Chongqing
    GN7vw
    NVIDIA Tesla T4
    TencentOS Server 3.1 (TK4) GRID16.2
    Ubuntu Server 20.04 LTS 64-bit GRID16.2
    Ubuntu Server 22.04 LTS 64-bit GRID16.2
    Windows Server 2019 Datacenter 64-bit CN GRID16.2
    Windows Server 2022 Datacenter 64-bit CN GRID16.2
    Beijing, Shanghai, Guangzhou, Nanjing, Chengdu, Chongqing, Hong Kong (China), Singapore, Mumbai, Silicon Valley, Virginia, and Frankfurt
    GI1
    Intel SG1
    CentOS 7.6 64-bit + SG1-pv1.3
    CentOS 7.6 64-bit + SG1-pv1.4
    CentOS 7.6 64-bit + SG1-pv1.5
    CentOS 7.6 64-bit + SG1-pv1.6
    Beijing, Nanjing, and Chongqing
    Note:
    Available zone: It can be accurate to the city level. For more information, see the instance configuration information below.

    Suggestions on Rendering Instance Model Selection

    Tencent Cloud provides diverse GPU computing instances to meet business needs in different scenarios. Refer to the following tables to select a computing instance as needed.
    The table below lists recommended GPU rendering instance models. A tick () indicates that the model supports the corresponding feature. A pentagram () indicates that the model is recommended.
    Feature/Instance
    GNV4v
    GNV4
    GN7vw
    GI1
    Graphics and image processing
    Video encoding and decoding
    Deep learning training
    -
    -
    -
    Deep learning inference
    -
    -
    -
    Scientific computing
    -
    -
    -
    -
    Note:
    These recommendations are for reference only. Select an appropriate instance model based on your needs.
    To use NVIDIA GPU instances for 3D rendering tasks such as high-performance graphics processing and video encoding and decoding, you need to install a GRID driver and configure a license server. For GNV4v, GNV4, and GN7vw instances, you can select a specified image with a GRID driver preinstalled and a license server preconfigured.
    GNV4v, GNV4, and GN7vw instance clusters provide vGPU instance types that support vDWs and vWs. They also support graphics APIs such as DirectX and OpenGL.

    Service Options

    Instances can be launched in VPC.
    Instances can be connected to other services such as CLB, without additional management and Ops costs. Private network traffic is free of charge.

    Instance Specifications

    Rendering GNV4v

    A NVIDIA GNV4v instance is a rendering instance configured with a vDWS license server and installed with a GRID driver. It is suitable for graphics and image processing scenarios such as 3D rendering and video encoding and decoding. It eliminates the need to manually configure the basic environment for GPU-based graphics and image processing.
    Note:
    This instance model is currently made available through an allowlist. To purchase it, submit a ticket for application.

    AZs

    GNV4v instances are available in Guangzhou Zone 7, Shanghai Zone 5, and Beijing Zone 6.

    Hardware Specifications

    CPU: AMD EPYCTM Milan CPU 2.55 GHz, with a Max Boost frequency of 3.5 GHz.
    GPU: NVIDIA® A10, providing 62.5 TFLOPS of single-precision floating point performance, 250 TOPS for INT8, and 500 TOPS for INT4.
    Storage: Select the appropriate CBS cloud disk type. To expand the cloud disk capacity, create and mount an elastic cloud disk.
    Network: Network optimization is enabled by default. The network performance of an instance depends on its specification. You can purchase public network bandwidth as needed.
    GNV4v instances are available in the following configurations:
    Model
    GPU (NVIDIA A10)
    GPU Video Memory (HBM2)
    vCPU
    Memory (DDR4)
    Private Network Bandwidth
    Packets In/Out(PPS)
    Number of Queues
    GNV4v.XLARGE24
    1/4
    6 GB vGPU
    6 cores
    24 GB
    3 Gbps
    0.5 million
    6
    GNV4v.3XLARGE58
    1/2
    12 GB vGPU
    14 cores
    58 GB
    7 Gbps
    1.1 million
    14
    GNV4v.7XLARGE116
    1
    1 * 24 GB
    28 cores
    116 GB
    13 Gbps
    2.3 million
    28

    Rendering GNV4

    An NVIDIA GNV4 instance is a rendering instance configured with a vDWS license server and installed with a GRID driver. It is suitable for graphics and image processing scenarios such as 3D rendering and video encoding and decoding. It eliminates the need to manually configure the basic environment for GPU-based graphics and image processing.
    Note:
    This instance model is currently made available through an allowlist. To purchase it, submit a ticket for application.

    AZs

    GNV4 instances are available in Beijing Zone 6, Shanghai Zone 5, Guangzhou Zone 6, and Chongqing Zone 1.

    Hardware Specifications

    CPU: Intel® Xeon® Cooper Lake CPU, with a base clock of 3.4 GHz and a Max Turbo frequency of 3.8 GHz.
    GPU: NVIDIA® A10, providing 31.2 TFLOPS of single-precision floating point performance, 250 TOPS for INT8, and 500 TOPS for INT4.
    Storage: Select the appropriate CBS cloud disk type. To expand the cloud disk capacity, create and mount an elastic cloud disk.
    Network: Network optimization is enabled by default. The network performance of an instance depends on its specification. You can purchase public network bandwidth as needed.
    GNV4 instances are available in the following configurations:
    Model
    GPU (NVIDIA A10)
    GPU Video Memory (GDDR6)
    vCPU
    Memory (DDR4)
    Private Network Bandwidth
    Packets In/Out(PPS)
    Number of queues
    GNV4.3XLARGE44
    1
    24 GB
    12 cores
    44 GB
    2 Gbps
    0.53 million
    4

    Rendering GN7vw

    An NVIDIA GN7vw instance is a rendering instance configured with a vDWS license server and installed with a GRID driver on the basis of GN7. It is suitable for graphics and image processing scenarios such as 3D rendering and video encoding and decoding. It eliminates the need to manually configure the basic environment for GPU-based graphics and image processing.
    Note:
    GPU rendering GN7vw is offered with limited availability.

    AZs

    GN7vw instances are available in Guangzhou Zones 3 and 4, Shanghai Zones 2, 4, and 5, Nanjing Zones 1 and 2, Beijing Zone 5, Chengdu Zone 1, Chongqing Zone 1, Hong Kong Zone 2, Singapore Zone 1, Mumbai Zone 2 , Silicon Valley Zone 2, Virginia Zone 2, and Frankfurt Zone 1.

    Hardware Specifications

    CPU: Intel® Xeon® Platinum 8255C CPU, with a clock rate of 2.5 GHz.
    GPU: NVIDIA® Tesla® T4, providing 8.1 TFLOPS of single-precision floating point performance, 130 TOPS for INT8, and 260 TOPS for INT4.
    Memory: DDR4, providing memory bandwidth up to 2,666 MT/s.
    Storage: Select the appropriate CBS cloud disk type. To expand the cloud disk capacity, create and mount an elastic cloud disk.
    Network: Network optimization is enabled by default. The network performance of an instance depends on its specification. You can purchase public network bandwidth as needed.
    GN7vw instances are available in the following configurations:
    Model
    GPU (NVIDIA Tesla T4)
    GPU Video Memory (GDDR6)
    vCPU
    Memory (DDR4)
    Private Network Bandwidth
    Packets In/Out(PPS)
    Number of queues
    GN7vw.LARGE16
    1/4
    4 GB vGPU
    4 cores
    16 GB
    2 Gbps
    0.5 million
    8
    GN7vw.2XLARGE32
    1/2
    8 GB vGPU
    8 cores
    32 GB
    4 Gbps
    0.8 million
    8
    GN7vw.4XLARGE64
    1
    1 * 16 GB
    16 cores
    64 GB
    7 Gbps
    1.5 million
    8

    Rendering GI1

    GPU rendering GI1 instances are equipped with H3C XG310 graphics cards, with each containing four Intel SG1 chips. They are suitable for Android cloud games and apps and video transcoding.
    Note:
    This instance model is currently made available through an allowlist. To purchase it, submit a ticket for application.

    Use Cases

    Android cloud phone
    Android cloud game
    Android cloud app
    Video transcoding

    AZs

    GI1 instances are available in Beijing Zone 6, Shanghai Zone 5, Guangzhou Zone 7, Nanjing Zone 3, and Chongqing Zone 1.

    Hardware Specifications

    CPU: Intel® Xeon® Platinum 8255c CPU, with a clock rate of 2.5 GHz.
    GPU: Intel® SG1, adopting H3C XG310 graphics cards with each containing four SG1 chips.
    Storage: Select the appropriate CBS cloud disk type. To expand the cloud disk capacity, create and mount an elastic cloud disk.
    Network: Network optimization is enabled by default. The network performance of an instance depends on its specification. You can purchase public network bandwidth as needed.
    GI1 instances are available in the following configurations:
    Model
    GPU (Intel SG1)
    GPU Video Memory
    vCPU
    Memory (DDR4)
    Private Network Bandwidth
    Packets In/Out (PPS)
    Number of Queues
    GI1.10XLARGE160
    1 * H3C XG310 (four Intel SG1 chips)
    32 GB (4 * 8 GB)
    42 cores
    160 GB
    13 Gbps
    2.5 million
    32
    GI1.21XLARGE320
    2 * H3C XG310 (eight Intel SG1 chips)
    64 GB (8 * 8 GB)
    84 cores
    320 GB
    25 Gbps
    6 million
    32
    
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