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OSS-AMPERE8

OSS-AMPERE8

  • Description
  • Features
  • Downloads
  • The OSS-AMPERE8 is the newest and most powerful PCIe 4.0 AI training and inference platform supporting NVIDIA’s HGX-A100 baseboard with 600GB/s Bi-Directional NVLink 3.0 peer-to-peer GPU connections designed to tackle the largest AI models. Supporting eight of the latest A100 NVIDIA GPUs, the OSS-AMPERE8 provides 2.5 PetaFLOPS TensorFloat 32 for AI training and 10 PetaOPS INT4 AI inference of sparse neural networks for the most demanding HPC applications. The OSS-AMPERE8 comes completely NVIDIA GPU Cloud certified with deep learning frameworks, popular pre-trained models, GPU management and monitoring software preinstalled to provide data scientists the fastest time to actionable intelligence. The GPU accelerated server also includes dual high-performance Future Intel® Xeon® Scalable processors and DDR4 memory scalable to 6TB. Ten PCIe Gen4 x16 slots are available for additional expansion and for scale out creating a balanced 1:1 GPU Ratio when using IB or highspeed Ethernet networking. The appliance includes six 2.5” removable NVMe drive bays.

  • Features:

    • 4U Chassis
    • Dual Future Generation Intel® Xeon® Scalable processors
    • Up to 6TB DDR4 LRDIMM System Memory
    • Six 2.5” NVMe SSD drive bays
    • Eight Ampere GPU SXM4 with 600GB/s NVLink 3.0
    • Ten x16 PCIe 4.0 slots
    • Four 2200W Titanium Power Supplies
    • GPU Management and Monitoring pre-installed
    • Software bundle pre-installed
    • Datasheet
    • Warranty
Request a quote/Contact us
Specifications +
Dimensions:

4U Rack Units 7” H x 17.2” W x 35.2” D (39.3” with rails)

CPUs:

Dual Future Generation Intel® Xeon® Scalable processors

System Memory: Memory Capacity
  • 32x 288-pin DDR4 DIMM slots
Memory Type
  • 3200 MHz ECC DDR4 RDIMM/LRDIMM
GPUs: 8x Tesla A100 SXM4
  • 10 PetaTOPS INT4*; 2.5 PetaFLOPs Tensor Float 32*, 156 TeraFLOPS FP64
  • 320GB HBM2 Memory
  • 4.8 TB/s Total Aggregate GPU Bandwidth
Software Bundle: Choice of Operating System
  • CentOS
  • RHEL
  • SLES
Choice of Machine Learning Framework
  • Caffe2
  • Pytorch
  • Mxnet
  • Microsoft Cognitive Toolkit
  • Tensorflow
  • Theano
  • MLPython
  • ML Dependencies (400MB Python)
  • cuDNN
  • DIGITS
  • Caffe on Spark
  • CUDA & NVIDIA driver
  • CUB (CUDA building blocks)
  • NCCL
GPU Management from Bright Computing
  • Health Management
  • Workload Integration
Expansion Slots: PCI-Express
  • Ten PCIe 4.0 x16 LP slots
  • Six PCIe 4.0 x4 U.3 2.5” drive bays
On-board devices: Chipset: Dual Future Intel® Xeon® Scalable Processors
SATA: SATA3 (6Gbps) with RAID 0, 1, 5, 10

IPMI
  • Support for Intelligent Platform Management Interface v.2.0
  • IPMI 2.0 with virtual media over LAN and KVM-over-LAN support
Network Controllers
  • Intel® X540 Dual Port 10GBase-T
  • Virtual Machine Device Queues reduce I/O overhead
  • Supports 10GBASE-T, 100
Graphics: ASPEED AST2400 BMC
Drive Bays: Hot-swap 6x 2.5" Hot-swap NVMe U.3 drive bays
System BIOs: BIOS Type: 128Mb SPI Flash EEPROM with AMI® BIOS
Front Panel: Buttons
  • Power On/Off button
  • System Reset button
LEDs
  • Power LED
  • Hard drive activity LED
  • Two Network activity LEDs
  • System Overheat LED / Fan fail LED /
  • UID LED
Cooling Fans: 8x 92mm + 4x 80mm heavy duty counter-rotating fans with air shroud & optimal fan speed control
Power Supply: 4x 2200W Redundant Power Supplies with PMBus
Total Output Power: 1200W/1800W/1980W/2200W
Dimension (W x H x L): 73.5 x 40 x 265 mm
Certification: UL/cUL/CB/BSMI/CE/CCC Titanium Level
Environment: Operating Temperature: 10°C to 30°C (50°F to 86°F)
Non-operating Temperature: -40°C to 70°C (-40°F to 158°F)
Operating Relative Humidity: 8% to 90% (non-condensing)
Non-operating Relative Humidity: 5% to 95% (non-condensing)
Compliance: RoHS 6 of 6, WEEE

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