TAIPEI -- GIGABYTE, a global leader in computing innovation and technology, will showcase its full-spectrum AI computing solutions that bridge development to deployment at MWC 2025, taking place from March 3-6.

“AI+” and “Enterprise-Reinvented” are two of the themes for MWC. As enterprises accelerate their digital transformation and intelligent upgrades, the transition of AI applications from experimental development to democratized commercial deployment has become a critical turning point in the industry. Continuing its “ACCEVOLUTION” initiative, GIGABYTE provides the comprehensive infrastructure products and solutions spanning cloud-based supercomputing centers to edge computing terminals, aiming to accelerate the next evolution and empower industries to scale AI applications efficiently.

Development: High-Performance Scalable Parallel Computing Laying the Foundation for AI Models

GIGABYTE’s close partnerships with industry leaders ensure its position of first-to-market brand offering the most diverse range of AI servers. In response to the continuous evolution of AI chips, GIGABYTE uses its flagship HGX servers design and releases next-gen G893 AI servers to support cutting-edge GPUs like NVIDIA B200, AMD MI325X, and Intel Gaudi-3, with capacity for 12 full-height accelerator cards and full redundant power supply. These servers can be ideal for both cluster operations in data centers and standalone enterprise deployments, advancing intelligent transformation.

GIGABYTE has also launched GIGAPOD, a cluster computing solution for cloud AI data centers, offering a one-stop scalable solution for large AI model training. GIGAPOD can support G893 AI servers while integrating computing and network hardware in a complete rack-level solution, along with optional operating systems and software. The solution encompasses comprehensive services from design, deployment to validation, ensuring efficient AI data center operations. The model showcased at MWC supports NVIDIA B200 and features G4L3 server rack with DLC liquid cooling technology, demonstrating GIGABYTE's readiness for expanding future-proof AI development.

Deployment: Low Latency, Energy Efficiency, and Flexible Edge Computing Solutions Connecting AI's Last Mile

As large models mature, AI is evolving from cloud development toward edge deployment and application, requiring servers and computing solutions focused on flexible implementation and ROI. GIGABYTE‘s general purpose R-series servers employ CXL technology, which leverages PCIe lanes to coexist with DDR5 memory, enabling memory and resource sharing, enhance bandwidth support, and increase overall operation efficiency with lower space requirements and deployment costs. The X-series servers featuring NVIDIA MGX™ modular design, allowing seamless upgrades to NVIDIA’s next-generation GPU platforms by simply replacing the baseboard, ensuring long-term value for enterprise technology investments and facilitating flexible deployment across various edge AI scenarios like smart cities and industrial IoT.

At MWC, GIGABYTE is also showcasing several edge-optimized servers, including EIA-standard edge computing servers with AMD and Intel CPUs, and debuting a new 3U blade server. These servers offer computing options with varying densities and architectures to meet the diverse requirements of edge applications, helping users reduce AI deployment costs and energy consumption while improving computing efficiency.

Through its strong R&D capabilities and close industry partnerships, GIGABYTE has established a complete AI computing ecosystem from cloud to edge. With a comprehensive product line ranging from data center cluster computing solutions to edge computing deployment options, GIGABYTE is a “Game Changer” that enables AI innovation across enterprises and research institutions of all sizes. As AI applications continue to expand, GIGABYTE's full product lineup, supporting the latest generation of computing chips, along with evolving hardware design, software integration, system management, and deployment services, continues to establish a solid foundation for a smarter, more efficient, and scalable future.