Product Advantages

Product Advantages

  • Flexibility

    Different G series servers provide the memory you need for graphics application, and P series servers are great for scientific computing or deep learning workloads.
    Different G series servers provide the memory you need for graphics application, and P series servers are great for scientific computing or deep learning workloads.
  • Ecosystem

    A comprehensive ecosystem provides support for multiple GPU applications and deep learning frameworks. G series servers support OpenGL and DirectX, while the P series servers support CUDA and OpenCL.
    A comprehensive ecosystem provides support for multiple GPU applications and deep learning frameworks. G series servers support OpenGL and DirectX, while the P series servers support CUDA and OpenCL.
  • Ease of use

    Obtain all sorts of graphic workstations, supercomputing applications, deep learning frameworks, and computing clusters in just a few clicks.
    Obtain all sorts of graphic workstations, supercomputing applications, deep learning frameworks, and computing clusters in just a few clicks.
  • Cost effectiveness

    Take advantage of pay-per-use or periodic subscriptions so you always have the latest hardware at your fingertips, with elastic scaling built right in.
    Take advantage of pay-per-use or periodic subscriptions so you always have the latest hardware at your fingertips, with elastic scaling built right in.

Application Scenarios

  • AI

  • Scientific Computing

  • Graphic Workstations

AI

AI

Each GPU contains thousands of computing units providing
outstanding parallel computing capabilities.

Advantages

GPU Direct

Big data transmission between neural networks is not a problem.

Acceleration Design

Instance provisioning in just minutes with only a few clicks

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Scientific Computing

Scientific Computing

Scientific computing demands powerful double-precision computing power. It can call for extraordinary compute resources.

Advantages

NVMe SSD

Offers up to 680,000 IOPS for optimal storage performance.

Double-Precision Computing

Features improved double-precision computing performance by 100x than CPUs.

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Graphic Workstations

Graphic Workstations

GACS provides you with the powerful processing power you need for professional CAD, video rendering, and graphics processing.

Advantages

High Performance

10x the performance of standard GPUs

Professional Hardware

Data center-class V100 GPUs for graphic workstations

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Functions

Functions

  • HPC and AI

    Superb single- and dual-precision computing power
    Superb single- and dual-precision computing power
  • Video/Graphics Rendering

    Professional video or graphics rendering
    Professional video or graphics rendering
  • PI2
    PI2
    Developed using NVIDIA Tesla T4 GPUs. A single GPU offers 8.1 TeraFLOPS of single-precision computing and 130 TeraOPS INT8. Uses 16 GB DDR6 GPU memory, 300 Gbit/s bandwidth, 1 NVENC encoder, and 2 NVDEC decoders.
    Developed using NVIDIA Tesla T4 GPUs. A single GPU offers 8.1 TeraFLOPS of single-precision computing and 130 TeraOPS INT8. Uses 16 GB DDR6 GPU memory, 300 Gbit/s bandwidth, 1 NVENC encoder, and 2 NVDEC decoders.
  • Video Rendering
    Video Rendering
    G5 instances, developed using NVIDIA Tesla M60 GPUs and GPU pass-through, support 8/16 GB DDR GPU memory for heavy-load graphics design and video processing.
    G5 instances, developed using NVIDIA Tesla M60 GPUs and GPU pass-through, support 8/16 GB DDR GPU memory for heavy-load graphics design and video processing.

Recommended Configurations

Pi2(T4)

Deep learning inference

Deep learning inference and video encoding and decoding

  • vCPUs

    8/16/32

  • Memory

    32/64/128 GB

  • System disk

    40 GB (default)

  • GPUs

    1/2/4 T4

  • Standard library

    CUDA/OpenCL

$596.5 /month

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G5(V100)

Graphics acceleration and deep learning training/inference

Graphics acceleration, deep learning training, and high-performance computing

  • vCPUs

    32

  • Memory

    128 GB

  • System disk

    40 GB (default)

  • GPUs

    1 V100

  • Standard library

    CUDA/OpenCL

$2,777.5 /month

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