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Accelerate compute-intensive, low-latency edge AI workloads
Mercury’s RDP B02 rugged servers, with an optimized network-attached GPU distributed processing architecture, deliver NVIDIA A100 GPU parallel computing resources over dual 100 Gigabit Ethernet network connections without requiring an x86 host system.
Accelerated by NVIDIA's BlueField-2 Data Processing Unit (DPU) technology, these high-performance computing (HPC) systems are designed for challenging applications at the edge, including sensor processing and big data analytics.
High-Performance Distributed GPU Edge Processing
Specifications
GPU Capabilities
- 80 GB GPU memory with 6,912 cores
(NVIDIA A100 80 GB GPU) - 312 TFLOPS of deep learning performance
- Up to 249x higher AI inference performance over CPUs
DPU Capabilities
- 2x 100 Gbps QSFP56 (NVIDIA BlueField-2 DPU)
- 8 ARMv8 A72 cores
- 8 GB eMMC memory (BIOS and OS) and 16 GB DDR4 SODIMM
Management and Operating System
- Linux supported via on-system memory
External Interfaces
- 1 power input
- 1 power button
- 2, 1/10/25/40/50/100 Gbps QAFP network ports
- 1, 1 Gbps 1000 Base-T RJ45 OOB network port
- 1 mini-USB port
Power Input
- 1000 W 90-264 VAC, 47-63 Hz PSU
Scalability
- Scale performance by adding RDP nodes independent of x86 server nodes
See datasheet for more details
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COTS-BASED SOLUTIONS
Do More at the Edge
Our field-proven ruggedized systems integrate the latest commercial technology and dense storage so you can gain insights faster with instantaneous data collection and processing across a variety of demanding edge applications.
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