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Giga Computing Announces Worldwide Availability of Its NVIDIA RTX PRO Server

Money Compass by Money Compass
November 4, 2025
in PR Newswire
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Giga Computing Announces Worldwide Availability of Its NVIDIA RTX PRO Server
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Integrating NVIDIA Technology to Power the AI Factory Era

TAIPEI, Nov. 5, 2025 /PRNewswire/ — Giga Computing, a subsidiary of GIGABYTE Group, announces the worldwide availability of its recently launched GIGABYTE XL44-SX2-AAS1, an NVIDIA RTX PRO Server that integrates NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs,NVIDIA BlueField-3 DPU, NVIDIA ConnectX-8 SuperNICs, and NVIDIA AI Enterprise software. The system unifies compute, networking, and software layers to accelerate the full data-to-AI workflow.

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Accelerate the Next Era of Enterprise AI World's first NVIDIA RTX PRO Server with ConnectX-8 SuperNIC Switch
Accelerate the Next Era of Enterprise AI World’s first NVIDIA RTX PRO Server with ConnectX-8 SuperNIC Switch

Unifying Compute and Networking Power
Built on the NVIDIA MGX modular reference design, the XL44-SX2-AAS1 supports up to eight NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs for a total of 768GB of GDDR7 memory, delivering exceptional throughput for generative AI, 3D rendering, and scientific workloads. Dual Intel® Xeon® 6700/6500 CPUs, 32x DDR5 DIMMs, and 3+1 redundant 3200W 80 PLUS Titanium power supplies ensure performance and reliability.

NVIDIA BlueField-3 DPU provides a total of 400Gb/s bandwidth for secure and efficient data access to storage and external networks, while four NVIDIA ConnectX-8 SuperNICs support eight GPUs with up to 800Gb/s NVIDIA InfiniBand or Ethernet bandwidth per GPU. This design enables low-latency, high-bandwidth east-west GPU-to-GPU traffic for scalable distributed AI training.

Seamless Integration with NVIDIA AI Enterprise
The XL44 Series server is integrated with NVIDIA AI Enterprise, supporting NVIDIA NIM microservices, NVIDIA Omniverse libraries and technologies for digital twins and NVIDIA Cosmos to bridge virtual simulation and real-world deployment. This unified software ecosystem allows enterprises to scale from AI model development to inference and physical AI, all within a consistent, optimized environment.

From Data Centers to AI Factories
Delivering up to 5X faster AI inference performance over the previous generation, the system supports a broad range of AI workloads, from intelligent agents and LLM inference to 3D simulation and video analytics. Its compatibility with Windows, Linux, Kubernetes, and virtualization environments ensures seamless deployment without major infrastructure changes. From robotic simulation and predictive modeling to medical research and 3D content creation, the XL44 Series server delivers scalable GPU performance and ultra-fast networking to help enterprises build next-generation AI factories and drive innovation across industries.

Availability

The GIGABYTE XL44-SX2-AAS1 is now available worldwide.
For queries or more information, please contact sales.

Stay updated with our latest news and announcements by following Giga Computing:
X: http://twitter.com/GigaComputing
LinkedIn: https://www.linkedin.com/company/giga-computing/
Facebook: https://www.facebook.com/gigabyteserver

About Giga Computing
Giga Computing Technology is an industry innovator and leader in the enterprise computing market. Having spun off from GIGABYTE, we maintain hardware expertise in manufacturing and product design, while operating as a standalone business that can drive more investment into core competencies. We offer a complete GIGABYTE product portfolio that addresses all workloads from the data center to edge including traditional and emerging workloads in HPC and AI to data analytics, 5G/edge, cloud computing, and more. Our longstanding partnerships with key technology leaders ensure that our new products will be the most advanced and they will launch with new partner platforms. Our systems embody performance, security, scalability, and sustainability. To find out more, visit https://www.gigacomputing.com/en/ and join our newsletter.

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