GPUltima-CI

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GPUltima-CI is a cutting-edge, flexible high-power computing solution for mixed workload data centers. This flexibility serves as an invaluable solution to many HPC applications such as AI, deep learning, image processing and scientific modeling. GPUltima-CI makes the data center workload-centric, where the hardware truly adapts to the needs of applications, rather than applications trying to adapt to limited hardware.
GPUltima-CI features the flexibility of disaggregated composable infrastructure that increases GPU accelerator utilization in mixed workload datacenters. With composable infrastructure, unused GPU, storage and network resources from one application are automatically released to other resource-hungry applications on other server nodes resulting in increased resource utilization.

The GPUltima-CI is a power-optimized rack that can be configured with up to 32 dual Intel Xeon Scalable Architecture compute nodes, 64 network adapters, 48 NVIDIA® Volta™ GPUs, and 32 NVMe drives on a 128Gb PCIe switched fabric, and can support tens of thousands of composable server configurations per rack. Using one or many racks, the OSS solution contains the necessary resources to compose any combination of GPU, NIC and storage resources as may be required in today’s mixed workload data center.
Features:
- Single or multiple 19” racks
- Up to 128 PCIe or SXM2 NVIDIA Volta GPUs
- Up to 96 PCIe or U.2 NVMe drives
- Up to 32 Dual Intel Xeon Scalable Processors nodes
- Up to 32 100Gb Infiniband or Ethernet NICs
- Up to 48-port Liqid Grid PCIe Fabric interconnect
- Power distribution and cooling up to 52kW per rack
- Datasheet
- Warranty

Rack	42U tall 1200mm traditional rack or Scale Matrix DDC Also available in 24U, 44U and 48U tall versions Supports OSS GPU Accelerators, NVMe Flash Storage Arrays, PCIe fabric switches and quad-node servers
Compute Accelerators	3U SCA8000 8-way SXM2 V100 expansion with up to four 128Gb PCIe fabric connections 4U EB3600 8-way PCIe V100 expansion with up to four 128Gb PCIe fabric connections Half 4U EB3450 4-way PCIe V100 expansion with up to two 128Gb PCIe fabric connections
GPUs	SXM2 V100 with NVLink 5,120 Cuda cores, 640 Tensor cores 7.8 Tflops Double-Precision 15.7 Tflops Single-Precision 125 Tflops Tensor Performance 300GB/s bi-directional interconnect bandwidth 16GB HBM2 memory 300 watts PCIe V100 5,120 Cuda cores, 640 Tensor cores 7 Tflops Double-Precision 14 Tflops Single-Precision 112 Tflops Tensor Performance 32GB/s bi-directional interconnect bandwidth 16GB HBM2 memory 250 watts
Flash Storage Arrays	2U FSAe-2 24-way U.2 NVMe JBOF with up to two 128Gb PCIe fabric connections 4U 4UV 16-way PCIe NVMe JBOF with up to two 128Gb PCIe fabric connections
NVMe Drives	PCIe SN260 6.4TB, 3 DW/day PCIe3.0 x8 64Gb/s Max Read (128KB): 6.17GB/s Max Write (128KB): 2.2GB/s Random Read IOPS (4KB): 1,200,000 Random Write IOPS (4KB): 200,000 Write Latency (512B): 20µs U.2 SN200 6.4TB, 3 DW/day PCIe3.0 x4 32Gb/s Max Read (128KB): 3.35GB/s Max Write (128KB): 2.1GB/s Random Read IOPS (4KB): 835,000 Random Write IOPS (4KB): 200,000 Write Latency (512B): 20µs
Servers	2U, 4-node, dual Intel Xeon Scalable Processor server. Each node contains: Dual Socket P (LGA 3647) “SkyLake” CPUs up to 28 cores and 3.2GHz Up to 2TB ECC DDR4-2666MHz Two Gen 3 x16 PCIe expansion slots Six 2.5” SATA3 SSDs IPMI, dual USB 3.0 and Disk-on-module support
Infiniband Switch	Mellanox 36 port Infiniband switch EDR 100Gb/s, QSFP connectors 1U form factor
Compostable Infrastructure Management	Liqid Grid managed switch array up to 8U, 96-ports 128Gbps PCIe fabric per port Fail-over and multi-topology support 1Gb Management port with Xeon D-1548 management CPU
Infiniband Interface Card	Mellanox Connect-X5 EDR 100Gb/s, QSFP connectors Single or dual port available One card per server
Power Distribution Unit	Tripp-Lite Monitored PDU 27.6kW power Input: 380/400V 3 phase, 63A Power monitoring via display and Ethernet 110kW total power ~ 97% over-provisioned
Cables	Copper network and fabric cables inside each rack Fiber Infiniband and PCIe fabric cables up to 100m available for multi-r
Software OS, Frameworks and Libraries	Operating Systems: CentOS, Ubuntu, Suse, Windows CUDA NVIDIA drivers Optional Pre-installed deep learning frameworks: Torch Caffe2 Theano TensorFlow Optional Pre-installed deep learning libraries: MLPython cuDNN DIGITS Caffe on Spark NCCL

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