Rubin has not shipped. NVIDIA describes its own Rubin specifications as preliminary and subject to change, so the figures on the linked platform and chip entries are provisional rather than final.
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Ingrasys IGS-HXR200

rack
8× Rubin
One NVIDIA HGX Rubin NVL8 platform, co-designed around NVLink 6, ConnectX-9, BlueField-4 and Spectrum-X; a single PCIe 5.0 x16 full-height half-length slot in the node itself
FP8
140,000
TFLOPS
NVFP4
280,000
TFLOPS
Power
—
kW Total
Memory
—
GB Total

Ingrasys' implementation of NVIDIA's HGX Rubin NVL8, pairing eight Rubin GPUs with two Intel Xeon 6 processors in a 2U 19 inch chassis measuring 87 by 448 by 800 mm. Unlike the company's AMD and Intel nodes this is a conventional rack part rather than an Open Compute one. It is entirely liquid cooled, managed over DC-SCM 2.0 with an AST2600, and carries eight E1.S drives with two M.2 alongside a single full-height half-length PCIe 5.0 x16 slot, the networking being handled by the platform rather than by add-in cards. Ingrasys publishes no power, memory or throughput figure for the node; the linked HGX Rubin NVL8 entry carries NVIDIA's.

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Systems built on this design

1 configuration

Built on the NVIDIA HGX Rubin NVL8 baseboard, so accelerator performance matches the reference. Chassis, CPU, memory and cooling are this vendor's own.

FP8
140,000
TFLOPS
NVFP4
280,000
TFLOPS
FP6
140,000
TFLOPS

System Details

GPU Configuration

GPU Model: NVIDIA Rubin SXM
GPU Count: 8 GPUs
Architecture: Rubin
Interconnect: One NVIDIA HGX Rubin NVL8 platform, co-designed around NVLink 6, ConnectX-9, BlueField-4 and Spectrum-X; a single PCIe 5.0 x16 full-height half-length slot in the node itself

System Specifications

Form Factor: rack
Total Power: —
Total Memory: —
Memory Bandwidth: 176 TB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
140,000 TFLOPS 17,500 TFLOPS —
280,000 TFLOPS 35,000 TFLOPS —
FP6 140,000 TFLOPS 17,500 TFLOPS —

Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.

Powered by NVIDIA Rubin

This system utilizes 8 × NVIDIA Rubin SXM GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

—

Per GPU Memory

288 GB

Process Node

—

Architecture

Rubin

Frequently asked questions

How much does the IGS-HXR200 cost?

Ingrasys sells the IGS-HXR200 on quote through OEMs and resellers, and Flopper has no live rental listing for its Rubin accelerator to derive an hourly figure from. System rental pricing →

How much power does the IGS-HXR200 require?

Ingrasys has not published a power figure for the IGS-HXR200, and Flopper does not derive one from the accelerator count because the rest of the system draws power too.

How many GPUs are in the IGS-HXR200?

8. The IGS-HXR200 carries 8 NVIDIA Rubin SXM accelerators in a rack form factor, and every throughput figure on this page is the total across them. Rubin specifications →

Documentation & Resources

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Flopper Spec Sheet

Ingrasys IGS-HXR200 specifications, generated from our database. Printable.

Vendor product page

Ingrasys IGS-HXR200 documentation

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Ingrasys AMD Instinct Accelerator Solution (GB2281A)

Ingrasys • Latest version

View Document ↗

Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

The Ingrasys IGS-HXR200 runs 8× Rubin GPUs over One NVIDIA HGX Rubin NVL8 platform, co-designed around NVLink 6, ConnectX-9, BlueField-4 and Spectrum-X; a single PCIe 5.0 x16 full-height half-length slot in the node itself, delivering 140,000 TFLOPS FP8 dense.

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