Deploy a solution that delivers the compute-intensive resources needed to run AI workloads on existing HPC clusters.

View the solution brief ›

Intel® Select Solutions for HPC & AI Converged Clusters [Univa*] are available in two configurations: Base and Plus. The Base configuration specifies the minimum required performance capability. The Plus configuration delivers higher performance for running AI workloads.

Ingredient Intel® Select Solutions for HPC & AI Converged Clusters [Univa*] Base Configuration Details Intel® Select Solutions for HPC & AI Converged Clusters [Univa*] Plus Configuration Details
Workload Domain (Minimum 4-Compute-Node Configuration)
Platform Dual-socket server platform Dual-socket server platform
Processor 2 × Intel® Xeon® Gold 6126 processor (2.60 GHz, 12 cores, 24 threads), Intel® Xeon® Gold 6226 processor (2.70 GHz, 12 cores, 24 threads), or a higher model number Intel® Xeon® Scalable processor 2 × Intel® Xeon® Gold 6252 processor (2.10 GHz, 24 cores, 48 threads), or a higher model number Intel® Xeon® Scalable processor
Memory 192 GB 192 GB
Boot Drive 240 GB Intel® SSD Data Center (Intel® SSD DC) S3520 SAA 3.0, 6 Gbps or equivalent 240 GB Intel® SSD DC S3520 SAA 3.0, 6 Gbps or equivalent
Storage HPC parallel file system (470 megabits per second [Mbps] per client) HPC parallel file system (470 Mbps per client)
Messaging Fabric Intel® Omni-Path Host Fabric Interface (Intel® OP HFI) adapter 100 series Intel® Omni-Path Host Fabric Interface (Intel® OP HFI) adapter 100 series
Management Network Switch 10 GbE switch 10 GbE switch
Scheduling Software Univa Grid Engine* and Univa Universal Resource Broker* Univa Grid Engine and Univa Universal Resource Broker
Software

Linux* operating system

Intel® Cluster Checker 2019

OpenHPC*,**

Intel® Omni-Path Fabric (Intel® OP Fabric) software

Intel® Parallel Studio XE 2019 Cluster Edition**

Apache Spark*

TensorFlow*

Horovod*

Linux operating system

Intel® Cluster Checker 2019

OpenHPC**

Intel® Omni-Path Fabric (Intel® OP Fabric) software

Intel® Parallel Studio XE 2019 Cluster Edition**

Apache Spark

TensorFlow

Horovod

Management Domain
Management Network Integrated 10 GbE** Integrated 10 GbE**
Firmware and Software Optimizations

Intel® Hyper-Threading Technology (Intel® HT Technology) enabled

Intel® Turbo Boost Technology enabled

XPT* prefetch enabled

Intel® HT Technology enabled

Intel Turbo Boost Technology enabled

XPT prefetch enabled

Minimum Performance Standards

In addition to the benchmarks below, performance of simulation and modeling applications on HPC and AI converged clusters will be comparable to the levels specified in the Intel® Select Solutions for Simulation and Modeling solution brief.

Algorithm/Test Training/inference Using Univa 4-node cluster (images/sec)
ResNet50* Int8* Inference 6,300
ResNet50 Training 400
Business Value of Choosing a Plus Configuration Over a Base Configuration The Plus configuration allows faster time to train an AI model with its increased compute capabilities, and AI inferencing sees decreased time to insights due to Intel® Deep Learning Boost (Intel DL Boost).
**Recommended, not required