Flexible Engine Elastic Cloud Server introduces new P2S instances for GPU-accelerated use cases

Elastic Cloud Server (ECS) is Flexible Engine’s virtual machine service based on Openstack which offers a wide choice of flavors designed to run your workloads on highly performant instances at the best price.

ECS has receive the following updates :

Elastic Cloud Server is updated with a new New P2S instances for GPU-accelerated use cases. They are equipped with NVIDIA Tesla V100 GPUs to provide flexibility, high-performance computing, and cost-effectiveness.

The P2s ECS features are:

  • CPU: 2nd Generation Intel® Xeon® Scalable processors (Cascade Lake Xeon Gold 6278 processors at 2.6 GHz of base frequency and 3.5 GHz of turbo frequency)
  • Up to 8 NVIDIA Tesla V100 GPUs on a single ECS instance
  • 32 GiB of HBM2 GPU memory per GPU with a bandwidth of 900 Gbit/s
  • 14 TFLOPS of single-precision computing and 7 TFLOPS of double-precision computing
  • NVIDIA Tensor cores with 112 TFLOPS of single- and double-precision computing for deep learning
  • NVIDIA CUDA parallel computing and common deep learning frameworks, such as TensorFlow, Caffe, PyTorch, and MXNet
  • Up to 30 Gbit/s of network bandwidth on a single ECS instance

This new ECS type is available in 4 different flavors, with a vCPU number/RAM GB ratio of 1:8.

p2s.2xlarge.8

8

64

10/4

50

4

1 x V100

PCIe Gen3

1 x 32 GiB

p2s.4xlarge.8

16

128

15/8

100

8

2 x V100

PCIe Gen3

2 x 32 GiB

p2s.8xlarge.8

32

256

25/15

200

16

4 x V100

PCIe Gen3

4 x 32 GiB

p2s.16xlarge.8

64

512

30/30

400

32

8 x V100

PCIe Gen3

8 x 32 GiB

Use Cases     

P2s flavors are suited for accelerated computing use cases like scientific computing, Computational Fluid Dynamics (CFD), computing finance, seismic analysis, molecular modeling, and genomics and have strengths in AI-based deep learning.

Limitations

P2S has a maximum number of 8 Nvidia Tesla V100 GPU with 256 GiB of GPU memory, 64 vCPU and 512 GiB of RAM.

P2s ECSs support the following commonly used software:

  • Common deep learning frameworks, such as TensorFlow, Caffe, PyTorch, and MXNet
  • CUDA GPU rendering supported by RedShift for Autodesk 3dsMax and V-Ray for 3ds Max
  • Agisoft PhotoScan
  • MapD

Console / API and Resources

As all other instance flavors, the new P2S series is available through the console and API. 

More information on ECS GPU-accelerated is available here  

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