June 9, 2026 - Giga Computing, a subsidiary of GIGABYTE and a leader in accelerated computing and infrastructure solutions, today announced the expansion of its GIGAPOD AI and HPC infrastructure portfolio, introducing multiple pre-configured POD solutions designed to accelerate the deployment of AI factories, AI training & inference platforms, and HPC deployments.
The expanded GIGAPOD portfolio provides organizations with a comprehensive range of AI and HPC infrastructure configurations, supporting workloads ranging from LLMs and AI-enabled VDI to Kubernetes-based containerized applications. Built on GIGABYTE server technology and integrated with industry-leading accelerators, high-speed networking, storage, and software ecosystems, GIGAPOD delivers a complete foundation for organizations seeking to operationalize AI at scale while reducing deployment complexity and operational risk.
As enterprises scale AI initiatives, they require infrastructure that can be deployed quickly, managed efficiently, and expanded seamlessly. GIGAPOD addresses these requirements through pre-configured architectures, factory integration, and deployment services, reducing the time and resources needed to bring AI infrastructure online.
Highlights of the Expanded GIGAPOD Portfolio
- Multiple AI and HPC infrastructure configurations for enterprise, cloud, and service provider deployments
- Scalable architectures ranging from small clusters to large multi-rack AI clusters
- Integrated compute, networking, storage, power, cooling, and management capabilities
- Support for LLM training, RAG, agentic AI, inference, digital twin, and HPC workloads
- High-performance networking options, supporting InfiniBand and Ethernet switches
- Air-cooled and liquid-cooled infrastructure options
- Factory integration, deployment services, validation testing, and lifecycle support
Purpose-Built for Modern AI Factories
Each GIGAPOD configuration combines optimized compute platforms, accelerated networking, enterprise storage, and AI software into a validated solution architecture. Customers can deploy GIGAPOD for:
- Foundation model training
- Enterprise and agentic AI applications
- Large-scale AI inference
- Scientific computing and HPC
- Digital twin and simulation workloads
- Sovereign AI initiatives
- Cloud and managed AI services
By providing pre-engineered and validated reference architectures, GIGAPOD reduces infrastructure integration effort and enables faster deployment compared to traditional build-it-yourself approaches. AI factory solutions increasingly emphasize validated, full-stack deployments to streamline the path from infrastructure installation to AI production environments.
Cluster Management
To simplify cluster operations and lifecycle management, GIGAPOD integrates GIGABYTE’s software management ecosystem, including GIGABYTE G-REX and GIGABYTE POD Manager (GPM). G-REX, in a 1U management node, provides centralized power and thermal infrastructure management of a POD, enabling administrators to have a unified interface for seamless integration of CDUs and RDHx. Via IPMI, it can alert administrators if a liquid is detected on one of the sensors throughout the system, including on motherboards, chassis, manifolds, and PDUs. For orchestration, GPM delivers advanced monitoring, provisioning, and optimization capabilities, offering real-time visibility into GPU, CPU, memory, power, and thermal utilization to help maximize performance and operational efficiency. Together, G-REX and GPM provide the management foundation required to deploy, scale, and maintain AI factories and HPC environments with greater reliability, visibility, and control.
For all POD Scale Solutions: https://www.gigabyte.com/Enterprise/GIGAPOD-POD-Scale
For queries or more information, please contact sales.
