PNY 4U SERVER SOLUTION

HIGH PERFORMANCE, FLEXIBLE EXPANSION, OPTIMIZED COOLING

PNYSER48 delivers high density computing power, scalable expansion capability, intelligent thermal solution and green design, making it an ideal choice for applications in the fields of HPC, Deep Learning and applications & workstation virtualization. From bioinformatics to oil & gas, engineering science, financial modeling and molecular research, PNYSER48 can provide both dense GPU compute power and a wide range of networking and RAID expansion options.

The GPU accelerates applications running on the CPU by offloading some of the compute-intensive and time consuming portions of the code. Designed for high performance in massively parallel computing environments, the PNYSER48 server solution and NVIDIA GPUs easily meet users’ complex workloads requirements while accelerating general computing capability.

Supporting up to 8 double-slot GPU cards, the 4U system includes also 4 x PLX chips (PEX8747), ensuring full PCIe x16 speed without GPU data throttling.

PNYSER48 also comes in as PNY Quadro VCA System, officially certified by Nvidia, based on 8 x Quadro P6000 cards.

PNYSER48 is a great choice when many additional expansion ports (ex: networking, RAID) are needed in addition to dense GPU compute power.

PNYSRA48 series is built around Intel Skylake CPU architecture - ‘Intel® Xeon® Scalable’. This new product family provides a wealth of new options in scalability - across compute, network and storage - to deliver solutions for a range of applications.

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:

VIRTUAL DESKTOP INFRASTRUCTURE (VDI)

Challenge in VDI:

Heavy graphics workload for the CPU; lengthy transfer delay of bulky graphics data; inefficient distribution of individual graphics resources; maximizing graphics performance at minimum latency.

GPU Computing as the Solution: