GIGABYTE spins off its enterprise division to be a wholly owned subsidiary. The new company, Giga Computing, will continue development and sale of GIGABYTE servers, server motherboards, and more.
gigabyte.com/us/Press/News/2…#GIGABYTE#GigaComputing#enterprise
Giga Computing's Benny Lan joined Intel, Ericsson, and GMI Cloud on stage at the Intel Xeon 6 press panel at Computex Day 0.
GPUs accelerate. CPUs orchestrate. As AI inference and Agentic AI rise, the CPU is taking center stage again - and we're deepening our engineering collaboration with Intel to bring next-gen platforms to market faster!
👉 gogct.link/96sw6g#GigaComputing#IntelXeon#AgenticAI#AIInfrastructure#COMPUTEX2026
Good Company and Great Conversations
Thank you to everyone who joined us at GIGA Night after a long day at #Computex2026. The trust built on nights like these are what keep the industry moving.
We can't wait to do it all again next year!
That's a wrap on #COMPUTEX2026!
Jensen Huang and Giga Computing CEO Etay Lee sharing a Taiwan Beer on the booth floor. The moment no one expected and everyone loved. What a show.
What was your favorite moment??
#COMPUTEX2026#GIGABYTE#GigaComputing#NVIDIA
GIGABYTE servers are now officially Windows Server 2025 certified!
In collaboration with Microsoft, our latest platforms are fully validated for enterprise environments that demand certified, software-defined infrastructure. Certified, highly compatible, and easy to deploy.
Certified models span the G Series (G293, G294, G494) and MGX Series (XV24-SX0), with more available at the link below.
👉 gogct.link/957b29#GigaComputing#Microsoft#WindowsServer2025#DataCenterSolutions#ServerSolutions
Total visibility. Total control. 👁️
At @computextaipei we're revealing an operations tool that gives you a complete view of your entire AI infrastructure - compute allocation, thermal dynamics, all of it at a single glance.
Stop drowning in data. Start mastering it.
👉 gogct.link/CX2026#GIGABYTE#GigaComputing#COMPUTEX#AIOps#AIInfra
One platform, three strengths. GIGABYTE x AMD EPYC 8005 covers cloud storage, edge computing, and telecom infrastructure without compromise.
Up to 84 cores, PCIe 5.0, and CXL 2.0 - every bit of performance, fully utilized.
Explore the full solution 👉 gogct.link/94dayp#GigaComputing#AMD#EPYC8005#EdgeComputing#Telecom#CloudStorage
Excited to partner with CEJN Group and explore what we can build together in sustainable liquid cooling infrastructure. This is exactly where the industry is headed.
Here's to a great partnership! 🤝
#GigaComputing#LiquidCooling#DataCenter#Partnership
Giga Computing now supports AMD EPYC 8005 Series CPUs, and existing SP6 socket platforms run both 8005 and 8004.
Zen 5 architecture, up to 96 PCIe Gen5 lanes, and outstanding performance-per-watt for edge, telecom, and cloud storage workloads. More performance, lower TCO, same platform.
👉 gogct.link/947vez#GigaComputing#AMD#EPYC8005#Zen5#EdgeComputing#DataCenter
The AMD Instinct MI350P is now available in GIGABYTE's AMD EPYC GPU Servers across 2U to 4U configurations.
144GB HBM3E, up to 4,600 TFLOPS at MXFP4, and the full AMD ROCm open stack - built for LLM inference, agentic AI, and HPC simulation at scale.
👉 gogct.link/92fkyj#GigaComputing#AMDInstinct#MI350P#AMDEPYC#AIInference#HPC
Giga Computing now supports the AMD Instinct MI350P across our GPU server portfolio!!
The G294-Z42, G294-Z22, G494-ZB0, and G494-ZB4 are validated and ready today, each supporting up to 8x PCIe Gen5 GPUs on AMD EPYC 9005/9004 Series for flexible enterprise AI deployment.
👉 gogct.link/92fkyj#GigaComputing#AMD#AMDInstinct#MI350P#EnterpriseAI#HPC
AI is no longer just on your screen, it's about to reshape the reality around us. What happens when immense virtual compute power steps into our physical world? At @computextaipei 2026, GIGABYTE is ready to reveal the answer.
⚡ Uncover the future >>> gogct.link/CX26#GIGABYTE#FutureLanding#AIInfra#COMPUTEX
Giga Computing now supports the NVIDIA RTX PRO 4500 Blackwell Server Edition across our server lineup.
Single-slot, 165W, 32GB GDDR7 - purpose-built for space- and power-constrained deployments from edge nodes to data center clusters. One platform. Multiple workloads. Maximum flexibility.
👉 gogct.link/8zfymp#GigaComputing#NVIDIARTXPro#RTXPro4500#Blackwell#AIInfrastructure#EdgeComputing