RES AI XR6 1U, 2 Drive 20 Inch Rugged GPU Server

Single Intel® Xeon® Scalable processor, one double-wide NVIDIA Tesla GPU, 384GB DDR4 ECC memory and 60TB of storage

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Compact 20 Inch Deep, Rear I/O Supercomputer

Engineered to handle massive workloads almost anywhere, Mercury’s RES AI 1U HPC server packs a single Intel® Xeon® Scalable processor, one double-wide NVIDIA Tesla GPU, 384GB DDR4 ECC memory and 60TB of storage in a compact 21lb server form factor.

This product is not recommended for new designs. Visit our RES X07 or RES X08 servers for new-design applications.

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Features
  • Up to one NVIDIA® Tesla® GPGPUs or Quadro® GPU
  • Single Intel® Xeon® Scalable CPU with up to 26 cores per processor 
  • Up to 384GB DDR4 ECC memory
  • Up to 60TB of storage with two 2.5" front-access disk drives (SAS3, SATA or NVME)
  • 3 PCIe 3.0 cards
  • MIL-STD: 810G
  • Customizable with U.S. designed and manufactured motherboards and advanced security features
Specifications
  • Single Intel® Xeon® Scalable CPUs with up to 26 cores per processor
  • Up to 1 double-wide NVIDIA Tesla or Quadro GPU accelerator
  • Up to 384GB memory with 6 DIMM slots, 2933MHz RDIMM/LRDIMM

Management and Operating System

  • Windows®, Linux®, VMware® and other hypervisors
  • IPMI v2.0, Redfish option available
  • TPM 1.2 or 2.0 support

Expansion and Modular Maintainability

  • 2 Disk on Module (up to 128GB per DOM)
  • 2 USB 3.0 (internal)
  • 2 2280 M.2 (PCIe x4 or SATA3)
  • 3 PCIe 3.0 Cards
    • (1) PCIe 3.0 x16 GPU slot + (2) PCIe 3.0 x16

 

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Input/Output Versatility

Front Access

  • 2 removable, hot pluggable, 2.5” SATA/SAS3 drives, U.2 NVME option available
  • 1 power switch

Rear Access

  • 2 10GBaseT Ethernet Ports (RJ45)
  • 2 USB 3.0
  • 4 USB 2.0
  • 1 IPMI 2.0
  • 1 VGA graphic port

Power Supply Options

  • Single or Redundant 100/240 VAC, 47/63/400Hz, 600W
  • Single or Redundant 48 VDC, 600W

Additional Options

  • Shock pins
  • Front door filter
  • Slide rails

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Environmental & Mechanical

Environmental*

Operating

  • Temperature: 0°C to 50°C
  • Extended temperature: -15°C to 65°C
  • Humidity: 8% to 95% (non-condensing)
  • Shock: 3 axis, 35g, 25ms
  • Vibration: 4.76Grms, 10Hz to 2000 Hz (SSD)

Non-Operating

  • Temperature: -40°C to 70°C
  • Humidity: 5% to 95% (non-condensing)

Mechanical

  • Height: 1U or 1.75 inches (44.45mm)
  • Width: 17 inches (433.3mm)
  • Depth: 20 inches (508mm)
  • Weight (Typical)*: 21 pounds (9.5kg)
  • 19” rackmountable

* Mercury Systems designs all products to meet or exceed listed data sheet specifications. Some specifications including I/O profiles, weight, and thermal profiles are configuration dependent. Contact Mercury for information specific to your desired configuration requirements.

Configurable to your HPC Field Application

Equipped with 3 PCIe 3.0 slots that accommodate a mix of GPUs, FPGA accelerators and other expansion cards, RES AI 1U accelerates an array of high performance computing (HPC) workloads by maximizing scalability and minimizing the overall computing footprint. Two hot-pluggable, front-access drives support the latest 2.5", 15mm high SAS3, SATA and NVME drives.

To ensure availability and sustained optimal performance in almost any environment, our 1U server features dual redundant, hot swappable AC or DC power supplies and is certified to MIL-STD 810G. 

 

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Maximize Throughput with Parallel Computing

Powered by the latest NVIDIA® Volta architecture GPU, RES AI 1U harnesses parallel processing to maximize throughput, boost productivity and push the boundaries of compute-heavy  mission-critical applications such as signal intelligence (SIGINT), cryptography, deep learning, artificial intelligence (AI), surveillance, sensor fusion, visualization, image processing, tracking and big data analytics. Other GPU options are available.

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Scale Supercomputing Applications from the Cloud to the Edge

Compatible with multiple operating systems, applications and software, RES AI adheres to open standards and integrates the latest commercial technologies to support supercomputing from the cloud to the edge. 

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