Scalable, Turnkey AI Supercomputing Solution. Multiple racks filled with GIGABYTE GPU servers make up a single GIGAPOD, which functions as a potent cluster that speeds up all AI processes.
Unleash a Turnkey AI Data Center with High Throughput and an Incredible Level of Compute
GIGABYTE has played a key role in giving its tech leaders access to a supercomputing infrastructure based on robust GIGABYTE GPU servers that have AMD Instinct MI300 Series accelerators or NVIDIA H200 Tensor Core GPUs. A service called GIGAPOD offers expert assistance in assembling a group of racks that are joined to form a single, integrated unit.
A high level of parallel processing is ideal for an AI ecosystem platform since NVIDIA NVLink or AMD Infinity connects the GPUs with lightning-fast communication. cloth. GIGABYTE now provides a one-stop shop for data centers transitioning to an AI factory that can run deep learning models at scale to the launch of the GIGAPOD. The deployment of an AI supercomputer is guaranteed to proceed smoothly with no downtime due to the hardware, experience, and strong partnership with state-of-the-art GPU partners.
GIGABYTE G Series Servers Built for 8-GPU Platforms
The choice of hardware is one of the most crucial factors to take into account when designing a new AI data centre, and many businesses view the GPU/Accelerator as the cornerstone of this AI era. A team of innovative and driven researchers and engineers has created each of GIGABYTE’s top GPU partners (AMD, Intel, and NVIDIA), and because each team is different, each new generation of GPU technology has advancements that make it perfect for specific clients and applications.
Performance (AI training or inference), cost, availability, ecosystems, scalability, efficiency, and other considerations are the main determinants of which GPU to use. Although choosing is difficult, GIGABYTE wants to give customers options, customization capabilities, and the know-how to build the best data centers possible in order to meet the growing demands and requirements in AI/Machine Learning models.
Why is GIGAPOD the rack scale service to deploy?
Industry Connections
To guarantee a prompt response to client needs and deadlines, GIGABYTE collaborates closely with technology partners AMD, Intel, and NVIDIA.
Depth in Portfolio
There are many SKUs for GIGABYTE servers (GPU, Compute, Storage & High-density) that are designed for every type of business application.
Scale Up or Out
In order to successfully integrate new nodes or processors, a turnkey high-performance data centre must be constructed with expansion in mind.
High Performance
With optional liquid cooling, GIGABYTE has customized the design of its servers and racks to ensure optimal performance, whether it is a single GPU server or a cluster.
Experienced
Large GPU clusters have been successfully deployed by GIGABYTE, and the company is prepared to talk about the procedure and offer a schedule that satisfies client needs.
AI Computing’s Future in Data Centre’s
The Ideal GIGAPOD for You
Enterprise products from GIGABYTE are exceptional in terms of availability, dependability, and serviceability. Their versatility in terms of GPU selection, rack size, cooling technique, and other areas is another area in which they excel. GIGABYTE is knowledgeable about all conceivable kinds of data centre sizes, hardware, and IT infrastructure.
Many GIGABYTE clients choose the rack layout by taking into account the amount of floor space available and the amount of electricity their facility can supply to the IT infrastructure. This is the reason that GIGAPOD was created. Consumers have options. Direct liquid cooling (DLC) or conventional air-cooling are the first options available to consumers for cooling and heat removal of the components.
Discover the GIGAPOD
GIGAPOD has the infrastructure to grow, reaching a high-performance supercomputer, from a single GIGABYTE GPU server to eight racks with 32 GPU nodes (a total of 256 GPUs). AI factories are being implemented by state-of-the-art data centres, and it all begins with a GIGABYTE GPU server.
In addition to a collection of GPU servers, GIGAPOD also includes switches. In addition, the full solution provides services, software, and hardware that may be easily deployed.
Applications for GPU Clusters
Large Language Models (LLM)
It is difficult to train models with billions of parameters and enough HBM/memory. Additionally, a GPU cluster with a single scalable unit with more than 20 TB of GPU memory is excellent for text-based data, like that found in Large Language Models(LLM).
Science & Engineering
GPU-accelerated clusters are very beneficial for research in disciplines including biology, chemistry, geology, and physics. With GPUs’ capacity for parallel computing, modelling and simulation flourish.
Generative AI
Industrial tasks can be automated with the aid of generative AI algorithms, which can also produce synthetic data for AI training. All of this is made feasible by a GPU cluster that combines rapid InfiniBand networking with powerful GPUs.
Strong Top to Bottom Ecosystem for Success
The knowledge, resources, creativity, and interoperability required to develop, implement, and manage state-of-the-art, extensive AI infrastructure are all provided by this extensive enterprise ecosystem. To make sure that rack-scale projects don’t stall at any stage, GIGABYTE keeps growing its network of partners who are industry leaders. An established and growing network of partners will enable customers to immediately enjoy the benefits of their investment.
