elastic GPU service

Products and Solutions

elastic GPU service

Powerful parallel computing capabilities based on GPU technology.

overview

powerful GPU-accelerated parallel computing

Elastic GPU Service (EGS) is a GPU-based computing service ideal for scenarios such as deep learning, video processing, scientific computing, and visualization. EGS solutions use the following GPUs: AMD FirePro S7150, NVIDIA Tesla M40, NVIDIA Tesla P100, NVIDIA Tesla P4, and NVIDIA Tesla V100.

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features

computing capabilities

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. 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 GN6 instance can provide a maximum of eight NVIDIA Tesla V100 GPUs, 88 vCPUs, and 256 GB of memory. It has 128 GB of GPU memory. Using Tensor Cores, a GN6 instance can provide up to 1000 TFLOPS of deep learning computing capability, and a single-precision floating-point performance of 125.6 TFLOPS. This helps achieve large-scale parallel floating-point computation performance required in general-purpose GPU computation scenarios. A GN6 instance also provides up to 62.4 TFLOPS of double-precision floating point performance to deliver high computing performance required in scenarios such as scientific computing.

extraordinary general network performance

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.

multiple payment methods

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.

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

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.)

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choose how to pay

subscription

Compared to pay-as-you-go instances, subscription instances have a lower price point which will help you to reserve your resources. Subscription instances are ideal for users requiring long-term resources in large numbers.

pay-as-you-go

Pay-As-You-Go instances require no up-front payment and are only charged based on usage. Resources can be scaled to suit the needs of your business.

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