Features

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  Computing capabilities

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    Extremely powerful computing capabilities of various GPUs

    
    

    GA1 instance

    A GA1 instance can provide a maximum of four AMD Fire Pro S7150 GPUs, 56 vCPUs, and 160 GB of memory. It has 32 GB of GPU memory and 8192 cores that work in parallel, and delivers up to 15 TFLOPS of single-precision, and 1 TFLOPS double-precision, floating-point performance.

    
    

    GN4 instance

    A GN4 instance can provide a maximum of two NVIDIA Tesla M40 GPUs, 56 vCPUs, and 96 GB of memory. It has 24 GB of GPU memory and 6000 cores that work in parallel, and delivers up to 14 TFLOPS of single-precision floating-point performance.

    
    

    GN5 instance

    A GN5 instance can provide a maximum of eight NVIDIA Tesla P100 GPUs, 56 vCPUs, 480 GB of memory, and 128 GB of GPU memory. It delivers up to 74.4 TFLOPS of single-precision floating-point performance. This helps achieve large-scale parallel floating-point computation performance required in deep learning and other general-purpose GPU computation scenarios. A GN5 instance also provides up to 37.6 TFLOPS of double-precision floating-point performance to deliver high computing performance required in scenarios such as scientific computing.

    
    

    GN5i instance

    A GN5i instance can provide a maximum of two NVIDIA Tesla P4 GPUs, 56 vCPUs, and 224 GB of memory. It has 16 GB of GPU memory and delivers up to 11 TFLOPS of single-precision floating-point performance and 44 TOPS INT8 of computing capability.

    
    

    GN6 instance

    A GN4 instance can provide a maximum of two NVIDIA Tesla M40 GPUs, 56 vCPUs, and 96 GB of memory. It has 24 GB of GPU memory and 6000 cores that work in parallel, and delivers up to 14 TFLOPS of single-precision floating-point performance.

    
    
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  Extraordinary general network performance

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    The excellent network performance delivered by EGS maximizes computing and rendering performance for a wide range of complex computational scenarios.

    
    

    Satisfying network performance over computation nodes

    An Elastic GPU instance supports up to 2,000,000 PPS and 25 Gbit/s of internal network bandwidth to provide optimal network performance required by computation nodes.

    
    

    Powerful storage performance

    Elastic GPU instances have a high-speed local cache, and can be attached with ultra cloud disks or SSD cloud disks. This ensures high availability of data and maximizes the computation and rendering performance.

    
    
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  Multiple payment methods

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    You can choose the payment method that best suits your needs.

    
    

    Pay yearly

    Pay for instance use on a yearly basis to maximize your discount benefit.

    
    

    Pay monthly

    Pay for instance use on a monthly basis to maintain reasonable costs during each payment while also enjoying relatively low hourly price for instance use.

    
    

    Pay hourly

    Pay for instance use on an hourly basis to satisfy your temporary need of compute resources. You are billed for the lowest cost each time.

    
    

    Request spot instances

    You can request spot instances and receive up to a 90% discount.

    
    
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  Running high-performance NVMe drives (special feature of GA1 and GN5 instances)

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    High-performance NVM Express drives running on GPU instances

    
    

    High-performance NVMe drives running on GPU instances

    Highly reliable cloud storage that is based on three-copy redundancy can be attached to GA1 instances. Additionally, NVMe drives with up to 1.4 TB capacity can also run on GA1 instances. These NVMe drives can handle 230,000 IOPS with an I/O latency of about 200 μs, and provide up to 1900 Mbit/s of read bandwidth and 1100 Mbit/s of write bandwidth. (The instance performance is tested with random 240,000 reads and an IO depth of 12.)