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.

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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

Informações de produto e desempenho

1

Testes realizados pela Intel em 9 de outubro de 2019. Configuração de teste: Dois nodes, 2x processador Intel® Xeon® Gold 6248 (2,50 GHz, 20 núcleos, 40 threads), 12 x 16 GB RDIMM ECC DDR4 de 2.666 MHz (memória total de 192 GB), unidade de inicialização: 1 x 256 GB Intel® SSD DC Série P4101 (M.2 PCIe de 80 mm * 3,0 x4, 3D2, TLC), unidade de dados: 1,6 TB NVM Express* (NVMe*) Intel® SSD Série P4510, unidade de cache: 375 GB Intel® Optane™ SSD DC P4800X SSD U.2 NVMe*, rede de dados: 1 x 10 Gb Adaptador de rede convergente Ethernet Intel® X722 (Intel® Ethernet CNA X722), rede de gerenciamento: Porta integrada de 1 gigabit Ethernet (GbE) 0/RMM. Software: CentOS* Linux versão 7.6.1810/Red Hat Enterprise Linux* (RHEL) 7, Intel® Math Kernel Library (Intel® MKL) versão 2019 atualização 4, Intel® Distribution of OpenVINO™ toolkit 2019 R1.0.1, modelo OpenVINO™ servidor 0.4, Intel® Distribution for Python * 2019 atualização 1, Intel® Math Kernel Library para redes neurais profundas (Intel® 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. Dimensionamento no cenário emulado do mundo real - teste de taxa de transferência: Desempenho normalizado 1 (Tecnologia Intel® Hyper-Threading (Tecnologia Intel® HT): Desativado).

2

Testes realizados pela Intel em 9 de outubro de 2019. Configuração de teste: Dois nodes, 2 x processador Intel® Xeon® Platinum 8268 (2,90 GHz, 24 núcleos, 48 threads), 12 x 16 GB RDIMM ECC DDR4 de 2.666 MHz (memória total de 192 GB), unidade de inicialização: 1 x 256 GB Intel® SSD DC Série P4101 (M.2 PCIe de 80 mm* 3,0 x4, 3D2, TLC), unidade de dados: 1,6 TB NVM Express* (NVMe*) Intel® SSD série P4510, unidade de cache: 375 GB Intel® Optane™ SSD DC P4800X SSD U.2 NVMe*, rede de dados: 1 x 10Gb Adaptador de rede convergente Ethernet Intel® X722 (Intel® Ethernet CNA X722), rede de gerenciamento: Porta integrada de 1 gigabit Ethernet (GbE) 0/RMM. Software: CentOS* Linux versão 7.6.1810/Red Hat Enterprise Linux* (RHEL) 7, Intel® Math Kernel Library (Intel® MKL) versão 2019 atualização 4, Intel® Distribution of OpenVINO™ toolkit 2019 R1.0.1, modelo OpenVINO™ servidor 0.4, Intel® Distribution for Python * 2019 atualização 1, Intel® Math Kernel Library para redes neurais profundas (Intel® 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. Dimensionamento no cenário emulado do mundo real - teste de taxa de transferência: Desempenho normalizado 1.91 (Tecnologia Intel® Hyper-Threading (Tecnologia Intel® HT): Desativado).