From AI factories and supercomputing to digital twins, cloud hosting, and edge AI, GIGABYTE enables telecommunications operators to turn network data into intelligenceFrom AI factories and supercomputing to digital twins, cloud hosting, and edge AI, GIGABYTE enables telecommunications operators to turn network data into intelligence

GIGABYTE Powers Telecom AI Transformation with End-to-End Infrastructure at MWC 2026

2026/03/02 09:16
3 min read
For feedback or concerns regarding this content, please contact us at crypto.news@mexc.com

From AI factories and supercomputing to digital twins, cloud hosting, and edge AI, GIGABYTE enables telecommunications operators to turn network data into intelligence, automation, and new revenue streams.

TAIPEI–(BUSINESS WIRE)–#AI4Telco–GIGABYTE Technology, a global leader known for its engineering excellence in high-performance computing and AI servers, extends its comprehensive end-to-end AI infrastructure portfolio designed specifically for the telecommunications industry at MWC 2026. GIGABYTE’s end-to-end product solutions enable operators to convert massive volumes of network data into intelligence, automation, and new revenue streams, as telecommunications networks evolve from data carriers into AI-powered digital platforms.

From Network Data to AI Value: Building Telco’s AI Factory

At the core of the telco-to-AI transformation is the AI Factory, where network and subscriber data are converted into operational intelligence and commercialized AI services. GIGABYTE addresses this need with GB300 NVL72, a liquid-cooled rack-scale platform integrating 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace™ CPUs in a single system. Connected via NVIDIA Quantum-X800 InfiniBand or NVIDIA Spectrum-X™ Ethernet and NVIDIA ConnectX®-8 SuperNIC™s, GB300 NVL72 is optimized for large-scale AI training and inference workloads, enabling operators to automate operations, optimize network planning, and deploy AI-driven services at telecom scale.

Powering the Data-to-AI Pipeline with AI and HPC Supercomputing

To eliminate bottlenecks across the data-to-AI pipeline, GIGABYTE extends its AI and HPC portfolio into the telecom domain with platforms built on NVIDIA and AMD accelerator architectures. The G894-SD3-AAX7, powered by NVIDIA HGX™ B300, supporting workloads such as real-time traffic analytics, reasoning models, and large-scale AI training. For converged AI and HPC environments, the XN24-VC0-LA61, based on NVIDIA MGX™ architecture and NVIDIA GB200 Grace Blackwell NVL4 Superchips, uses direct liquid cooling to enable dense, energy-efficient deployment.

GIGABYTE also showcases G893-ZX1-AAX4, combining AMD EPYC™ 9005/9004 CPUs with AMD Instinct™ MI355X GPUs, delivering high performance-per-watt for inference, simulation, and advanced modeling while helping operators manage power and cost.

Digital Twins for Intelligent, AI-Driven Network Operations

Digital twins are becoming a critical tool for AI-driven network operations. GIGABYTE enables high-fidelity, real-time simulation with XL44-SX2-AAS1, built on NVIDIA MGX™ architecture and configured with eight NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs. With 800 GB/s bandwidth via NVIDIA ConnectX®-8 SuperNIC™ and PCIe Gen6 connectivity, the platform enables higher throughput and better scale-out capabilities, making it the perfect choice for round-the-clock high-availability assignments.

Enabling Efficient Cloud Hosting at Telco Scale

As telecom operators expand into AI cloud and neocloud services, GIGABYTE’s high-density blade servers provide a scalable foundation for AI and HPC hosting. At MWC, GIGABYTE introduces B683-Z80-LAS1, a 6U, 10-node blade system powered by AMD EPYC™ processors with a 1:1 CPU-to-NIC configuration. Featuring full-system direct liquid cooling, the integrated piping removes over 90% of system heat, achieving sustainable green computing and optimized power usage effectiveness (PUE).

Extending AI from Core to Edge

AI transformation extends to the network edge, where low latency, data proximity and privacy are essential. GIGABYTE’s AI workstations enable local AI development, inference, and deployment across enterprise and private network environments. The W775-V10-L01, powered by the NVIDIA GB300 Grace™ Blackwell Ultra Desktop Superchip, supports up to 775 GB of coherent memory for large-scale AI workloads at the desk. Additional platforms, including AMD EPYC™-based and Intel® Xeon®-based workstations, provide flexibility for diverse edge AI and private network scenarios. The compact AI TOP ATOM, delivering up to one petaFLOP of AI compute, further enables rapid prototyping and edge AI deployment in a palm-sized form factor.

End-to-end Solutions from Data Center to Edge
https://www.gigabyte.com/Events/MWC
#5F60, Hall 5, Fira Gran Via

Contacts

Michael Pao brand@GIGABYTE.com

Market Opportunity
Cloud Logo
Cloud Price(CLOUD)
$0.03685
$0.03685$0.03685
-1.28%
USD
Cloud (CLOUD) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact crypto.news@mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

ArtGis Finance Partners with MetaXR to Expand its DeFi Offerings in the Metaverse

ArtGis Finance Partners with MetaXR to Expand its DeFi Offerings in the Metaverse

By using this collaboration, ArtGis utilizes MetaXR’s infrastructure to widen access to its assets and enable its customers to interact with the metaverse.
Share
Blockchainreporter2025/09/18 00:07
One Of Frank Sinatra’s Most Famous Albums Is Back In The Spotlight

One Of Frank Sinatra’s Most Famous Albums Is Back In The Spotlight

The post One Of Frank Sinatra’s Most Famous Albums Is Back In The Spotlight appeared on BitcoinEthereumNews.com. Frank Sinatra’s The World We Knew returns to the Jazz Albums and Traditional Jazz Albums charts, showing continued demand for his timeless music. Frank Sinatra performs on his TV special Frank Sinatra: A Man and his Music Bettmann Archive These days on the Billboard charts, Frank Sinatra’s music can always be found on the jazz-specific rankings. While the art he created when he was still working was pop at the time, and later classified as traditional pop, there is no such list for the latter format in America, and so his throwback projects and cuts appear on jazz lists instead. It’s on those charts where Sinatra rebounds this week, and one of his popular projects returns not to one, but two tallies at the same time, helping him increase the total amount of real estate he owns at the moment. Frank Sinatra’s The World We Knew Returns Sinatra’s The World We Knew is a top performer again, if only on the jazz lists. That set rebounds to No. 15 on the Traditional Jazz Albums chart and comes in at No. 20 on the all-encompassing Jazz Albums ranking after not appearing on either roster just last frame. The World We Knew’s All-Time Highs The World We Knew returns close to its all-time peak on both of those rosters. Sinatra’s classic has peaked at No. 11 on the Traditional Jazz Albums chart, just missing out on becoming another top 10 for the crooner. The set climbed all the way to No. 15 on the Jazz Albums tally and has now spent just under two months on the rosters. Frank Sinatra’s Album With Classic Hits Sinatra released The World We Knew in the summer of 1967. The title track, which on the album is actually known as “The World We Knew (Over and…
Share
BitcoinEthereumNews2025/09/18 00:02
Vistra (VST) Stock Drops 7% as Insider Sales Spook the Market

Vistra (VST) Stock Drops 7% as Insider Sales Spook the Market

TLDR Vistra (VST) stock fell as much as 7.16% as investors reacted to heavy insider selling by the CEO and top executives filed with the SEC. The stock also hit
Share
Coincentral2026/03/21 01:25