Intel® Select Solutions for AI Inferencing v2

Intel® Select Solutions for AI Inferencing are turnkey platforms that provide pre-bundled, verified, and optimized solutions for low-latency, high throughput inference performed on a CPU, not on a separate accelerator card.

View the solution brief ›

Base and Plus Configurations for the Intel Select Solutions for AI Inferencing v2

Ingredient

Intel Select Solutions for AI Inferencing v2 Base Configuration

Intel Select Solutions for AI Inferencing v2 Plus Configuration

Number of Nodes

Single-node configuration

Single-node configuration

Processor

2 x Intel® Xeon® Gold 6248 processor (2.50 GHz, 20 cores, 40 threads), or a higher number Intel® Xeon® Scalable processor

2 x Intel® Xeon® Platinum 8268 processor (2.90 GHz, 24 cores, 48 threads), or a higher number Intel Xeon Scalable processor

Memory

192 GB or higher (12 x 16 GB 2,666 MHz DDR4 ECC RDIMM)

384 GB (12 x 32 GB 2,934 MHz DDR4 ECC RDIMM)

Boot Drive

1 x 256 GB Intel® SSD DC P4101 Series (M.2 80 mm PCIe* 3.0 x4, 3D2, TLC) or higher

1 x 256 GB Intel SSD DC P4101 Series (M.2 80 mm PCIe* 3.0 x4, 3D2, TLC) or higher

Storage

Data drive: 1.6 TB NVM Express* (NVMe*) Intel® SSD DC P4510 Series

Cache drive: 375 GB Intel® Optane™ SSD DC P4800X U.2 NVMe* SSD

Data drive: 1.6 TB NVMe* Intel SSD DC P4510 Series

Cache drive: 375 GB Intel Optane SSD DC P4800X U.2 NVMe* SSD

Data Network

1 x Intel® Ethernet Converged Network Adapter (Intel® Ethernet CNA) XXV710-DA2 SFP28 DA Copper PCIe* x 8 dual-port 25/10/1 GbE

1 x Intel Ethernet Converged Network Adapter (Intel Ethernet CNA) XXV710-DA2 SFP28 DA Copper PCIe* x 8 dual-port 25/10/1 GbE

Management Network

Integrated 1 GbE port 0/RMM port

Integrated 1 GbE port 0/RMM port

Software

Linux OS

CentOS Linux release 7.6.1810/Red Hat Enterprise Linux* (RHEL) 7

CentOS Linux release 7.6.1810/Red Hat Enterprise Linux* (RHEL) 7

Intel® Math Kernel Library (Intel® MKL)

Intel Math Kernel Library (Intel MKL) version 2019 Update 4

Intel Math Kernel Library (Intel MKL) version 2019 Update 4

Intel® Distribution of OpenVINO™ Toolkit

2019 R1.0.1

2019 R1.0.1

OpenVINO™ Model Server

0.4

0.4

TensorFlow

1.14

1.14

PyTorch

1.2.0

1.2.0

MXNet

1.3.1

1.3.1

Intel® Distribution for Python*

2019 Update 1

2019 Update 1

Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN)

0.19 (implied by the OpenVINO™ toolkit)

0.19 (implied by the OpenVINO toolkit)

Deep Learning Reference Stack (DLRS)

v4.0

v4.0

Source-to-Image

1.1.14

1.1.14

Docker

18.09

18.09

Kubernetes

v1.15.3

v1.15.3

Kubeflow

v0.6.1

v0.6.1

Helm

2.14.3

2.14.3

Seldon Core

0.3.2

0.3.2

Ceph

v14.2.1

v14.2.1

Min.io (Rook v1.0)

RELEASE.2019-04-23T23-50-36Z

RELEASE.2019-04-23T23-50-36Z

Rook

1.0.5

1.0.5

Other

Trusted Platform Module (TPM)

TPM 2.0

TPM 2.0

Minimum Performance Standards

Verified to meet or exceed the following minimum performance capabilities:

Classification Using ResNet-50 on OpenVINO Toolkit

1,900 images per second (91 percent top-5 accuracy)

2,650 images per second (91 percent top-5 accuracy)

Scaling in Emulated Real-World Scenario from 1 Node to 2 Nodes Up to 1.91x1 Up to 1.91x2

Business Value of Choosing a Plus Configuration Over a Base Configuration

The Plus configuration provides up to 39 percent faster inferencing performance.1

**Recommended, not required

제품 및 성능 정보

1

테스트는 2019년 10월 9일 인텔에서 수행했습니다. 테스트 구성: Two nodes, 2x 인텔® 제온® Gold 6248 프로세서(2.50 GHz, 20 cores, 40 threads), 12 x 16 GB 2,666 MHz DDR4 ECC RDIMM (총 192 GB 메모리), 부팅 드라이브: 1 x 256 GB 인텔® SSD DC P4101 시리즈 (M.2 80 mm PCIe* 3.0 x4, 3D2, TLC), 데이터 드라이브: 1.6 TB NVM Express* (NVMe*) 인텔® SSD P4510 시리즈, 캐시 드라이브: 375 GB 인텔® Optane™ SSD DC P4800X U.2 NVMe* SSD, 데이터 네트워크: 1 x 10Gb 인텔® 이더넷 컨버전스형 네트워크 어댑터 X722 (인텔® 이더넷 CNA X722), 관리 네트워크: 통합 1기가비트 이더넷(GbE) port 0/RMM port. 소프트웨어: CentOS* 리눅스 릴리스 7.6.1810/Red Hat Enterprise Linux* (RHEL) 7, 인텔® Math Kernel Library (인텔® MKL) version 2019 update 4, 인텔® OpenVINO™ 배포 툴킷 2019 R1.0.1, OpenVINO™ 모델 서버 0.4, 인텔 ® 배포판 파이썬* 2019 업데이트 1, 인텔® Deep Neural Networks용 Math Kernel Library (인텔® MKL-DNN) 0.19, Deep Learning Reference Stack (DLRS) v4.0, Docker v18.09, Helm v2.14.3, Kubernetes v1.15.3, Kubeflow v0.6.1, Seldon Core v0.3.2, Rook v1.0.5, Ceph v14.2.1, Min.io (Rook v1.0) RELEASE.2019-04-23T23-50-36Z. 에뮬레이트된 실제 시나리오 처리 테스트에서 크기 조절: 표준화된 성능 1(인텔® 하이퍼 스레딩 기술(인텔® HT 기술): 꺼짐).

2

테스트는 2019년 10월 9일 인텔에서 수행했습니다. 테스트 구성: Two nodes, 2x 인텔® 제온® Platinum 8268 프로세서 (2.90 GHz, 24 cores, 48 threads), 12 x 16GB 2,666MHz DDR4 ECC RDIMM (총 192GB 메모리), 부팅 드라이브: 1 x 256GB 인텔® SSD DC P4101 시리즈 (M.2 80 mm PCIe* 3.0 x4, 3D2, TLC), 데이터 드라이브: 1.6 TB NVM Express* (NVMe*) 인텔® SSD P4510 시리즈, 캐시 드라이브: 375 GB 인텔® Optane™ SSD DC P4800X U.2 NVMe* SSD, 데이터 네트워크: 1 x 10Gb 인텔® 이더넷 컨버전스형 네트워크 어댑터 X722 (인텔® 이더넷 CNA X722), 관리 네트워크: 통합 1기가비트 이더넷(GbE) port 0/RMM port. 소프트웨어: CentOS* 리눅스 릴리스 7.6.1810/Red Hat Enterprise Linux* (RHEL) 7, 인텔® Math Kernel Library (인텔® MKL) version 2019 update 4, 인텔® OpenVINO™ 배포 툴킷 2019 R1.0.1, OpenVINO™ 모델 서버 0.4, 인텔 ® 배포판 파이썬* 2019 업데이트 1, 인텔® Deep Neural Networks용 Math Kernel Library (인텔® MKL-DNN) 0.19, Deep Learning Reference Stack (DLRS) v4.0, Docker v18.09, Helm v2.14.3, Kubernetes v1.15.3, Kubeflow v0.6.1, Seldon Core v0.3.2, Rook v1.0.5, Ceph v14.2.1, Min.io (Rook v1.0) RELEASE.2019-04-23T23-50-36Z. 에뮬레이트된 실제 시나리오 처리 테스트에서 크기 조절: 표준화된 성능 1.91 (인텔® 하이퍼 스레딩 기술(인텔® HT 기술): 꺼짐).