Giga Computing Launches Four New AI Servers Based on NVIDIA HGX B200 Platform
In a major expansion of its enterprise-grade GPU server lineup, Giga Computing has announced the launch of four new AI servers powered by NVIDIA’s HGX B200 platform , featuring advanced cooling technologies and support for the latest generation of AI-optimized processors from Intel.
These new systems are designed to meet the rapidly growing demands of modern AI workloads — from training massive language models to running real-time inference at scale. According to NVIDIA, the HGX B200 , built on the company’s cutting-edge Blackwell architecture , delivers up to 15 times faster inference performance on trillion-parameter models compared to previous generations — a huge leap forward in AI computing efficiency.
🧊 High Performance Meets Thermal Efficiency
One of the standout features of Giga Computing’s new servers is their advanced thermal management options , which include both direct liquid cooling (DLC) and optimized air-cooled designs — ensuring peak performance while reducing overall data center energy costs.
The 4U GIGABYTE G4L3 Series is the flagship liquid-cooled solution. It uses a separate chamber design for CPUs and GPUs, allowing each component to be cooled more effectively. This system comes in two variants:
- G4L3-SD1-LAX5 : Optimized for the latest Intel Xeon processors
- G4L3-ZD1-LAX5 : Designed to support AMD EPYC CPUs
This flexibility makes it ideal for data centers that want high-density AI compute with minimal heat output.
💨 Air-Cooled Solutions for Broader Deployment
For environments where liquid cooling isn’t feasible, the GIGABYTE G894 Series offers an efficient air-cooled alternative. These servers are compatible with a wide range of x86 platforms and baseboard GPU setups, including full integration with the NVIDIA HGX B200 platform .
Available models include:
- G894-AD1-AAX5 : Supports the latest Intel Xeon 6900-Series processors, including the 6962P
- G894-SD1-AAX5 : Compatible with Intel Xeon 6700- and 6500-Series , such as the 6776P
These models offer a balance between performance and compatibility, making them suitable for enterprises looking to scale AI capabilities without overhauling existing infrastructure.
🌐 GIGAPOD Gets a Blackwell Boost
Giga Computing also announced updates to GIGAPOD , its flagship AI supercomputing solution. The upgraded version now supports the NVIDIA HGX B200 platform , offering enhanced throughput, improved energy efficiency, and scalable architecture tailored for:
- Training large language models (LLMs)
- Running complex generative AI applications
- Handling intensive deep learning tasks
With multiple cooling options and modular scalability, GIGAPOD remains a powerful choice for research institutions, cloud providers, and enterprises investing heavily in AI infrastructure.
🚀 Why This Matters for AI Infrastructure
As AI models grow in size and complexity, traditional server architectures struggle to keep pace. Giga Computing’s new lineup addresses this challenge head-on by combining:
- High-performance NVIDIA Blackwell GPUs
- Latest-gen Intel and AMD processors
- Advanced cooling solutions
- Flexible deployment options
This makes the new servers ideal for organizations aiming to scale their AI operations efficiently and sustainably.
📅 What’s Next?
While exact availability and pricing details have not yet been released, these systems are expected to begin rolling out to partners and early adopters soon. Given the rising demand for AI-ready hardware, Giga Computing’s new offerings could quickly become a popular choice among enterprises building or upgrading their AI infrastructure.
