Specifications

Model

G894-SD3-AAX7

Form Factor

8U rackmount, air-cooled

GPU Platform

NVIDIA HGX B300

GPU Count

8x NVIDIA Blackwell Ultra

GPU Interconnect

NVIDIA NVLink + NVLink Switch

GPU-GPU Bandwidth

1.8 TB/s

Total GPU Bandwidth

14.4 TB/s

Total GPU Memory

Over 2 TB HBM3E

AI Performance

7x over the Hopper platform

CPU

Dual Intel Xeon 6700 / 6500 series

Memory Slots

32x DDR5 DIMM

Networking

8x 800 Gb/s OSFP InfiniBand or 16x 400 Gb/s Ethernet

NIC

NVIDIA ConnectX-8 SuperNIC

DPU Support

NVIDIA BlueField-3

Expansion

4x PCIe Gen5 x16 slots

Power Supply

12x 3000 W 80 PLUS Titanium redundant

Cluster Platform

GIGAPOD AI & HPC infrastructure

Launched

18 September 2025

Overview

The GIGABYTE G894-SD3-AAX7 is Giga Computing's flagship 8U server, built around the NVIDIA HGX B300 platform. Eight NVIDIA Blackwell Ultra GPUs are integrated with NVIDIA NVLink and NVLink Switch to deliver 1.8 TB/s of GPU-to-GPU bandwidth and 14.4 TB/s of total bandwidth from more than 2 TB of HBM3E memory — quoted at seven times the AI performance of the previous Hopper generation.

Dual Intel Xeon 6700 or 6500 series processors drive 32 DDR5 DIMM slots. Networking is delivered through NVIDIA ConnectX-8 SuperNICs as either eight 800 Gb/s OSFP InfiniBand ports or sixteen 400 Gb/s Ethernet ports, with NVIDIA BlueField-3 DPUs supported for offloaded infrastructure workloads.

Four PCIe Gen5 x16 slots provide expansion, and power comes from twelve 3000 W 80 PLUS Titanium redundant supplies inside a compact 8U air-cooled chassis. The system extends the GIGAPOD high-performance AI cluster portfolio, letting a deployment scale from a single server to an ultra-large cluster on the same platform.

Key Benefits

Eight Blackwell Ultra GPUs in 8U with full NVLink Switch fabric for scale-out training. Over 2 TB HBM3E total GPU memory for large-model inference and long-context workloads. Flexible fabric — 800 Gb/s InfiniBand or 400 Gb/s Ethernet on ConnectX-8. 4x PCIe Gen5 x16 slots plus BlueField-3 DPU support for storage and infrastructure offload. Titanium-class efficiency from twelve 3000 W redundant supplies. Air-cooled for halls without liquid infrastructure.

Applications

Large language model training and fine-tuning, AI agent and reasoning inference services, real-time multimedia generation, scientific simulation, financial modelling, and HPC workloads across healthcare, manufacturing, finance and research.

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