• Elastic Cloud Server

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  2. Elastic Cloud Server
  3. User Guide
  4. ECS Instances
  5. Creating an ECS
  6. Creating a P1 ECS

Creating a P1 ECS

P1 ECSs use NVIDIA Tesla P100 GPUs and provide flexibility, high performance, and cost-effectiveness. These ECSs support GPU Direct for direct communication between GPUs, improving data transmission efficiency. P1 ECSs provide outstanding universal computing capabilities and have strengths in deep learning, graphic databases, high-performance databases, Computational Fluid Dynamics (CFD), computing finance, seismic analysis, molecular modeling, and genomics. They are designed for scientific computing.

Creating an ECS

Follow the instructions provided in section Creating and Logging In to ECS to log in to the console and create an ECS. Pay attention to the following settings:

  • Set Specifications to GPU-accelerated.
  • The system disk must be greater than or equal to 15 GB. It is recommended that the system disk be greater than 40 GB.


  • After a P1 ECS is created, you must install the NVIDIA driver for computing acceleration. For details, see section Installing the NVIDIA GPU Driver and CUDA Toolkit on a P1 ECS.
  • The local NVMe SSDs attached to P1 ECSs are dedicated for services with strict requirements on storage I/O performance, such as deep learning training and HPC. Local disks are attached to the ECSs of specified flavors and cannot be separately bought. In addition, you are not allowed to detach a local disk and then attach it to another ECS.

    Data may be lost on the local NVMe SSDs attached to P1 ECSs due to a fault, for example, due to a disk or host fault. Therefore, you are suggested to store only temporary data in local NVMe SSDs. If you store important data in such a disk, securely back up the data.

  • After you delete a P1 ECS, the data stored in local NVMe SSDs is automatically cleared.