AI-accelerated ECSs

AI-accelerated ECSs, powered by Ascend processors and software stacks, are dedicated for accelerating AI applications.

AI inference-accelerated ECSs use Ascend 310 processors for AI inference acceleration.

AI-accelerated ECS Types

AI inference-accelerated: Enhanced AI Inference-accelerated Ai1s (Type I)

Public Images Supported by AI-accelerated ECSs

**Table 1** Public images
Type	Series	Public Images
Enhanced AI inference-accelerated (type I)	Ai1s	Ubuntu Server 18.04 64bit CentOS 7.6 64bit

Enhanced AI Inference-accelerated Ai1s (Type I)

Overview

Ai1s ECSs use Ascend 310 processors for AI acceleration. Ascend 310 processors feature low power consumption, high computing capabilities, and significantly improved energy efficiency ratio (EER). This facilitates the wide application of AI inference. Ai1s ECSs deliver the computing acceleration capabilities of the Ascend 310 processors on the cloud platform.

Ai1s ECSs are based on Atlas 300I accelerator cards. For details, go to Ascend Community.

AI-accelerated ECSs are ideal for computer vision, smart campus, smart city, smart transportation, smart retail, Internet-based real-time communication, and video encoding and decoding scenarios.

Specifications

**Table 2** Ai1s ECS specifications
Flavor	vCPUs	Memory (GiB)	Max./Assured Bandwidth	Max. PPS (10,000)	Ascend 310 Processors	Ascend RAM (GiB)	Max. NIC Queues	Max. NICs	Virtualization
ai1s.large.4	2	8	4/1.3	20	1	8	2	2	KVM
ai1s.xlarge.4	4	16	6/2	35	2	16	2	3	KVM
ai1s.2xlarge.4	8	32	10/4	50	4	32	4	4	KVM
ai1s.4xlarge.4	16	64	15/8	100	8	64	8	8	KVM
ai1s.8xlarge.4	32	128	25/15	200	16	128	8	8	KVM
ai1s.6xlarge.4	24	96	25/14	400	4	96	8	8	KVM
ai1s.9xlarge.4	36	144	30/18	550	4	144	16	8	KVM
ai1s.18xlarge.4	72	288	40/36	1000	8	288	32	8	KVM

Features

Ai1s ECSs have the following features:

vCPU to memory ratio: 1:4
CPU: 2nd Generation Intel® Xeon® Scalable 6278 processors (2.6 GHz of base frequency and 3.5 GHz of turbo frequency), or Intel® Xeon® Scalable 6151 processors (3.0 GHz of base frequency and 3.4 GHz of turbo frequency)
Ascend 310 processors, four of which in an Atlas300I accelerator card
16 TeraOPS of integer-precision computing (INT8) on one processor
8 GiB of GPU memory with a memory bandwidth of 50 GiB/s on one processor
5-channel HD video decoder (H.264/H.265) based on built-in hardware video codec engine

Notes

Ai1s ECSs support the following public images:
- Ubuntu Server 18.04 64bit
- CentOS 7.6 64bit
Ai1s ECSs do not support modification of specifications.
Ai1s ECSs support automatic recovery when the hosts accommodating such ECSs become faulty.

Using an AI-accelerated ECS

Perform the following steps:

Create an ECS. For details, see "Step 1: Configure Basic Settings" in Elastic Cloud Server User Guide.
- In the Specifications field, select AI-accelerated specifications.
- In the Image field, select Public image or Private image.
  - Public image: The CANN 3.1.0 development kit has been included and environment variables have been configured in public images by default. You need to verify the environment availability.
  - Private image: You need to install the driver, firmware, and development kit, and configure environment variables by yourself. For details, see the CANN Software Installation Guide of the corresponding version in Ascend Documentation.
Remotely log in to the ECS.
If your Ai1 ECS runs Linux, use an SSH password to log in to the ECS.
Verify the environment availability.
Use a sample for compilation and running. For details, see "Sample Overview" in the Model Development Learning Map of the corresponding CANN edition in Ascend Documentation.

The sample shows how to classify images (decode, resize, and infer images) based on the Caffe ResNet-50 network.