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Ingrasys GB6181I

rack
8× Gaudi 3
Eight Gaudi 3 accelerators on a universal baseboard, with twenty PCIe 5.0 x16 slots available for scale-out networking
Power
—
kW Total
Memory
—
GB Total

Ingrasys' Gaudi node, and the second Intel accelerator system in this catalogue. Eight Gaudi 3 accelerators sit on a universal baseboard in a six OpenU liquid-cooled chassis, so like its AMD sibling this is an Open Compute part rather than a 19 inch one. What stands out against the rest of the field is the I/O: thirty-two NVMe drive bays and twenty PCIe 5.0 x16 slots, far more than the eight to twelve typical of an eight-accelerator machine, which suits Gaudi's design of scaling out over ordinary Ethernet rather than a proprietary fabric. Power is ten 3,000 W Platinum supplies in 5+5 redundancy, which is capacity rather than draw, so no system power is shown. Ingrasys publishes no throughput figure; per-accelerator compute is on the Gaudi 3 chip entry and the baseboard's figures on the linked Intel HLB-325 entry.

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Systems built on this design

2 configurations

Built on the Intel Gaudi 3 HLB-325 Baseboard baseboard, so accelerator performance matches the reference. Chassis, CPU, memory and cooling are this vendor's own.

System Details

GPU Configuration

GPU Count: 8 GPUs
Architecture: Gaudi 3
Interconnect: Eight Gaudi 3 accelerators on a universal baseboard, with twenty PCIe 5.0 x16 slots available for scale-out networking

System Specifications

Form Factor: rack
Total Power: —
Total Memory: —
Memory Bandwidth: 29.6 TB/s

Powered by Intel Gaudi 3

This system utilizes 8 × Intel Gaudi 3 128GB GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

900W

Per GPU Memory

128 GB

Process Node

5nm

Architecture

Gaudi 3

Documentation & Resources

Flopper Spec Sheet

Ingrasys GB6181I specifications, generated from our database. Printable.

Vendor product page

Ingrasys GB6181I 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 GB6181I runs 8× Gaudi 3 GPUs over Eight Gaudi 3 accelerators on a universal baseboard, with twenty PCIe 5.0 x16 slots available for scale-out networking.

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