Get ahead in your AI acceleration with an early inquiry of the G593 AMD Instinct MI300X supercomputer

Scalable, Turnkey AI Supercomputing Solution

One GIGA POD is composed of multiple racks populated with GIGABYTE GPU servers acting as one powerful cluster that accelerates everything AI.

Unleash a Turnkey AI Data Center with High Throughput and an Incredible Level of Compute

GIGABYTE has been pivotal in providing its technology leaders with a supercomputing infrastructure built around powerful GIGABYTE GPU servers that house either NVIDIA H100 Tensor Core GPUs or AMD Instinct™ MI300 Series accelerators. GIGA POD is a service that has professional help to create a cluster of racks all interconnected as a cohesive unit. An AI ecosystem platform thrives with a high degree of parallel processing as the GPUs are interconnected with blazing fast communication by NVIDIA NVLink or AMD Infinity. Fabric. With the introduction of the GIGA POD, GIGABYTE now offers a one-stop source for data centers that are moving to an AI factory that runs deep learning models at scale. The hardware, expertise, and close relationship with cutting-edge GPU partners ensures the deployment of an AI supercomputer goes off without a hitch and minimal downtime.

Consulting

Design with GIGABYTE servers, networking…

Construction

Deployment

Validation

GIGABYTE G Series Servers Built for 8-GPU Platforms

One of the most important considerations when planning a new AI data center is the selection of hardware, and in this AI era, many companies see the choice of the GPU/Accelerator as the foundation. Each of GIGABYTE’s industry leading GPU partners (AMD, Intel, and NVIDIA) has innovated uniquely advanced products built by a team of visionary and passionate researchers and engineers, and as each team is unique, each new generational GPU technology has advances that make it ideal for particular customers and applications. This consideration of which GPU to build from is mostly based on factors: performance (AI training or inference), cost, availability, ecosystems, scalability, efficiency, and more. The decision isn’t easy, but GIGABYTE aims to provide choices, customization options, and the know-how to create ideal data centers to tackle the demand and increasing parameters in AI/ML models.

NVIDIA HGX™ H200/B100/B200

Biggest AI Software Ecosystem
Fastest GPU-to-GPU Interconnect

AMD Instinct™ MI300X

Largest & Fastest Memory

Intel^® Gaudi^®

Excellence in AI Inference

Why is GIGA POD the rack scale service to deploy?

Industry Connections

GIGABYTE works closely with technology partners - AMD, Intel, and NVIDIA - to ensure a fast response to customers requirements and timelines.
Depth in Portfolio

GIGABYTE servers (GPU, Compute, Storage, & High-density) have numerous SKUs that are tailored for all imaginable enterprise applications.
Scale Up or Out

A turnkey high-performing data center has to be built with expansion in mind so new nodes or processors can effectively become integrated.
High Performance

From a single GPU server to a cluster, GIGABYTE has tailored its server and rack design to guarantee peak performance with optional liquid cooling.
Experienced

GIGABYTE has successfully deployed large GPU clusters and is ready to discuss the process and provide a timeline that fulfills customers requirements.

The Future of AI Computing in Data Centers

The Ideal GIGA POD for You

GIGABYTE enterprise products not only excel at reliability, availability, and serviceability. They also shine in flexibility, whether it be the choice of GPU, rack dimensions, or cooling method and more. GIGABYTE is familiar with every imaginable type of IT infrastructure, hardware, and scale of data center. Many GIGABYTE customers decide on the rack configuration based on how much power their facility can provide to the IT hardware, as well as considering how much floor space is available. So, this is why the service, GIGA POD, came to be. Customers have choices. Starting with how the components are cooled and how the heat is removed, customers can select either traditional air-cooling or direct liquid cooling (DLC).

Air Cooling
Direct Liquid Cooling

Ver.	GPUs Supported	GPU Server (Form Factor)	GPU Servers per Rack	Rack	Power Consumption per Rack	RDHx
1	NVIDIA HGX™ H100/H200/B100 AMD Instinct™ MI300X	5U	4	9 x 42U	50kW	No
2	NVIDIA HGX™ H100/H200/B100 AMD Instinct™ MI300X	5U	4	9 x 48U	50kW	Yes
3	NVIDIA HGX™ H100/H200/B100 AMD Instinct™ MI300X	5U	8	5 x 48U	100kW	Yes
4	NVIDIA HGX™ B200/H200	8U	4	9 x 42U	130kW	No
5	NVIDIA HGX™ B200/H200	8U	4	9 x 48U	130kW	No

Ver.	GPUs Supported	GPU Server (Form Factor)	GPU Servers per Rack	Rack	Power Consumption per Rack	CDU
1	NVIDIA HGX™ H100/H200/B100 AMD Instinct™ MI300X	5U	8	5 x 48U	100kW	In-rack
2	NVIDIA HGX™ H100/H200/B100 AMD Instinct™ MI300X	5U	8	5 x 48U	100kW	External
3	NVIDIA HGX™ B200/H200	4U	8	5 x 42U	130kW	In-rack
4	NVIDIA HGX™ B200/H200	4U	8	5 x 42U	130kW	External
5	NVIDIA HGX™ B200/H200	4U	8	5 x 48U	130kW	In-rack
6	NVIDIA HGX™ B200/H200	4U	8	5 x 48U	130kW	External

Discover the GIGA POD

From one GIGABYTE GPU server to eight racks with 32 GPU nodes (a total of 256 GPUs), GIGA POD has the infrastructure to scale, achieving a high-performance supercomputer. Cutting-edge data centers are deploying AI factories, and it all starts with a GIGABYTE GPU server.

GIGA POD is more than just a bunch of GPU servers, there are also switches. Not to mention, the complete solution offers hardware, software, and services to deploy with ease.

Applications for GPU Clusters

Large Language Models (LLM)

Training models that use billions of parameters while having sufficient HBM/memory is a challenge. And text-based data, as in LLM, thrives with a GPU cluster that has a single scalable unit with over 20 TB of GPU memory, making it ideal in scale.
Science & Engineering

Research in fields such as physics, chemistry, geology, and biology greatly benefit with the use of GPU accelerated clusters. Simulations and modeling thrive with the parallel processing capability of GPUs.
Generative AI

Generative AI algorithms can create synthetic data that is used in training AI and it can help automate industrial tasks. This is all possible by a GPU cluster using powerful GPUs with fast Infiniband networking.

Strong Top to Bottom Ecosystem for Success

This comprehensive enterprise ecosystem provides the necessary expertise, resources, innovation, and interoperability to build, deploy, and maintain cutting-edge, large-scale AI infrastructure. GIGABYTE continues to expand its partners who are leaders in their respective fields, to ensure that rack-scale projects don’t get stuck at any phase. Customers will quickly reap the fruits of their investment through a developed and evolving ecosystem of partners.