---
description: "Giga Computing GAIFA: a 700 kW, six-rack, direct-liquid-cooled AI factory test bed in Taiwan with two NVIDIA GB300 NVL72 racks."
title: Giga Computing Opens GAIFA, a 700 kW Liquid-Cooled AI Factory Test Bed With Two GB300 NVL72 Racks
image: https://www.storagereview.com/wp-content/uploads/2026/09/Storagereview-gigabyte-xl44-sx2-aas1-front.jpeg
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[Home](https://www.storagereview.com/) » [News](https://www.storagereview.com/news) » Giga Computing Opens GAIFA, a 700 kW Liquid-Cooled AI Factory Test Bed With Two GB300 NVL72 Racks

# Giga Computing Opens GAIFA, a 700 kW Liquid-Cooled AI Factory Test Bed With Two GB300 NVL72 Racks

by Harold Fritts on September 23, 2026

[AI](https://www.storagereview.com/enterprise/ai)  ◇  [Enterprise](https://www.storagereview.com/enterprise)

Giga Computing has opened GAIFA (GIGABYTE AI Factory Accelerator), its first proprietary AI computing center, in New Taipei City, Taiwan: a six-rack, direct-liquid-cooled facility built to validate rack-scale AI infrastructure with customers before it ships. The first phase carries a planned 700 kW power envelope, with more capacity planned in later phases as operational needs dictate, and the company says the site exists to validate compute, power, and thermal management as one integrated system.

![Giga Computing GAIFA rack-scale build: a GIGABYTE GIGAPOD rack fully populated with liquid-cooled GPU servers, vendor render]()

## Rack-Scale Infrastructure and Compute Topologies

GAIFA configures multiple accelerator platforms side by side to validate training, inference, and visualization pipelines against each other. The core cluster is two racks of NVIDIA GB300 NVL72, which integrate GPUs, CPUs, high-speed interconnects, and east-west networking into liquid-cooled enclosures aimed at trillion-parameter LLM training and agentic AI workloads. High-density acceleration comes from one rack of G4L4-SD3-LAX7 direct-liquid-cooled servers with NVIDIA HGX B300. Visual computing, generative AI inference, and professional workloads run on XL44-SX2-AAS1 nodes fitted with [NVIDIA RTX PRO 6000](https://www.storagereview.com/review/nvidia-rtx-pro-6000-workstation-gpu-review-blackwell-architecture-and-96-gb-for-pro-workflows) GPUs, and dense host compute and virtualization run on the liquid-cooled B683-Z80-LAS1, a 6U ten-socket blade platform on AMD EPYC.

![GIGABYTE XL44-SX2-AAS1 server with eight NVIDIA RTX PRO 6000 GPUs visible from above and front drive bays, vendor render]()

## Full-Stack Validation and Proof of Concept Services

The facility builds on Giga Computing’s existing Proof of Concept service, giving customers a place to verify compute performance, rack power density, liquid cooling thermal performance, network performance, and system compatibility before deployment. “GAIFA is not just Giga Computing’s own AI compute center; it is a real-world proving ground where we validate AI infrastructure together with our customers,” said Daniel Hou, General Manager at Giga Computing. The validation scope runs through L12 deployment, which Giga Computing defines as global service and cluster-level validation.

## Socket SP7 and SP8 Roadmap Availability

Alongside GAIFA, Giga Computing added two SP7 platforms to the [EPYC 9006 lineup it announced in July](https://www.storagereview.com/news/giga-computing-debuts-its-first-epyc-9006-servers-with-sp7-shipping-in-november): the R165-DG2-CS1, a single-socket 1U rack server with closed-loop liquid cooling that supports a 256-core configuration, and the B685-D80-LS1, a 6U ten-node blade with direct liquid cooling for high-density HPC. The shipping schedule is unchanged from July: [AMD EPYC 9006](https://www.storagereview.com/news/amd-6th-gen-epyc-venice-256-cores-1-6tb-s-and-the-first-pcie-gen-6-server-cpu) SP7 systems ship on day one alongside AMD in November 2026, and SP8 systems follow in March 2027. Detailed specifications and operational information for GAIFA will follow once the site is complete.

### [GIGABYTE AI Factory Solutions Page](https://www.gigabyte.com/Topics/AI-Factory)

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### Harold Fritts

I have been in the tech industry since IBM created Selectric. My background, though, is writing. So I decided to get out of the pre-sales biz and return to my roots, doing a bit of writing but still being involved in technology.

Previous post: [VAST DataEnclave Runs AI Models on Regulated Data Inside NVIDIA Confidential Computing, Ships Q1 2027](https://www.storagereview.com/news/vast-dataenclave-runs-ai-models-on-regulated-data-inside-nvidia-confidential-computing-ships-q1-2027)

Next post: [NVIDIA DSX Ready Qualifies Tesla, LG, and Hitachi Batteries and Vertiv, LiquidStack, and LG CDUs for AI Factories](https://www.storagereview.com/news/nvidia-dsx-ready-qualifies-tesla-lg-and-hitachi-batteries-and-vertiv-liquidstack-and-lg-cdus-for-ai-factories)

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