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About/BIDC Hardware/RIG-42101RIG™
RIG

A GPU server built for general AI

RIG-42101 is a 4U general AI computing server for AI, big data analytics, high-performance computing, and research labs. It supports up to 8 GPUs, dual Xeon processors, large memory capacity, and dense storage.

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RIG-42101 general AI computing server
4U
Rackmount chassis
8
FHFL or HHHL GPUs
24
DDR4 DIMM slots
2000W
Titanium redundant PSU
§ 001Advantages

GPU workloads need a plain, reliable machine.

Multi-GPU thermal design

Airflow and thermal layout tuned for sustained high-load GPU computing.

Low-latency interconnect

Advanced GPU interconnect options reduce communication bottlenecks across accelerators.

Titanium redundant power

2000W redundant power supplies with Titanium-level efficiency for critical workloads.

Mass memory and storage

24 DIMM slots, up to 6TB memory, and up to 24 2.5-inch drive bays.

§ 002Applications

AI training and inference

Big data analytics

High-performance computing

Research laboratories

§ 003Specifications

RIG-42101

Chassis
4U Rackmount
CPU
Dual 2nd Gen Intel Xeon Scalable / Intel Xeon Scalable, LGA3647, 3 UPI up to 10.4GT/s, TDP 70-205W
Chipset
Intel C622
GPU
Up to 8 FHFL GPUs or 8 HHHL GPUs
Memory
24 x DIMM, Intel Optane DCPMM support, up to 6TB ECC DDR4
PCIe
11 x PCIe 3.0 x16, 1 x PCIe 3.0 x8 in x16
Detailed specs
LAN
2 x RJ45 10GBase-T, 1 x RJ45 dedicated IPMI
Storage
Up to 24 x 2.5-inch SAS/SATA, native 8 x SATA, 2 x NVMe, 1 x M.2 NVMe
Rear I/O
2 x 10GBase-T, 1 x IPMI, 4 x USB 3.0, 1 x VGA
Power
2000W Redundant Power Supplies, Titanium Level 96%
OS
Windows Server, Red Hat Enterprise Linux, Ubuntu, CentOS
Environment
Operating 10°C to 35°C, 8% to 90% RH non-condensing
§ 004Technical inquiry

Plan a
GPU cluster.

RIG-42101 can be configured around GPU, storage, and operating environment needs. Share your workload and we'll recommend the right setup.

What we need

  • Target workload (AI / HPC / big data / lab)
  • Expected GPU count and model
  • Memory, storage, and network requirements
  • Whether a test unit or PoC is needed

Put the GPU server into the next cluster plan.

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