Dual Root Complex Purley 4U GPU Server for Deep Learning, HPC and Render Farm ApplicationsDual Root Complex Purley 4U GPU Server for Deep Learning, HPC and Render Farm Applications
Part No. PNYSRA48000000-100

Extend Your Scale with Intel® Xeon® Scalable Skylake & Cascade Lake

The PNYSRA48 series is built around Intel Scalable Skylake & Cascade Lake CPU architectures - ‘Intel® Xeon® Scalable’ Family processors. The new product families provide a wealth of new options in scalability - across compute, network and storage - to deliver solutions for a range of applications.

CPU Key Features

The Intel® Xeon® Scalable Skylake & Cascade Lake CPU architectures bring improved features and functionality at both the host and fabric levels. These enable performance improvements - both natively on the chip and for future extensibility through compute, network and I/O & storage peripherals.

• Compute Optimization:
  Intel® QAT: Speed up data compression and cryptography with integrated Intel QuickAssist Technology (QAT).
  Intel® AVX-512: Intel Advanced Vector Extension 512 instruction set architecture enables workload-optimized performance and throughput increases for advanced analytics, high performance computing (HPC) applications, and data compression.
  Intel® VROC: Intel Xeon Scalable Processors come with built-in support for Intel VROC (Virtual RAID on CPU).
  Up to 28 cores / 56 threads per socket.
  Up to 38.5 MB L3 cache (non-inclusive).
  Up to 3x UPI socket interconnects at 10.4 GT/s.
  CPU TDP 70W – 205W.
• Memory Optimization:
  Memory speed of up to 2666MHz and up to 2933MHz (1 DIMM per channel) with Cacade Lake processors.
  Intel Optane DC Persistent Memory ("DCPMM") Ready, using Intel’s 3D Xpoint memory technology, available in capacities up to 512GB.
  Up to 12 DIMMs per socket.
• I/O Support:
  48 PCIe 3.0 lanes per socket.
  Intel Omni-Path ready.
  Onboard PCIe NVMe M.2 SSD slots.

The PNYSRA48 Series - System Overview

The PNYSRA48 Series - Front View

The PNYSRA48 Series - Rear View

HIGH PERFORMANCE COMPUTING (HPC)

Challenge in HPC:

Intensive and fast algorithmic computing, such as volume rendering, data-parallel vector calculation, multi-layer data linearity transformation, molecular fragments modeling.

GPU Computing as the Solution:

DEEP LEARNING

Challenge in Deep Learning:

High data training and validation iterations for linear and non-linear complex features with multiple processing layers and parameters; rapid object detection and parsing.

GPU Computing as the Solution:

Advanced RMA:
Same-day parts shipment

Next-business-day on-site hardware maintenance

Multilingual phone support hotline

Fast turnaround of components via efficient SCM