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Microsoft Visual Studio Professional 2026 + 15 Coding Courses Just $50 No Surprise Microsoft Office Hikes—Own it for Life for $50 The Witcher 3: Wild Hunt Reaches 65 Million Copies Ahead of Songs of the Past Launch Valve Steam Deck Sells Out in 24 Hours Despite Price Hike 007 First Light Exceeds 1.5 Million Sales in 24 Hours Rockstar Workers Unionize Ahead of GTA VI Launch Following Dismissal of 31 Workers Unknown Worlds Earns $250M Performance Bonus After Stellar Subnautica 2 Launch Dell Technologies Delivers First Quarter Fiscal 2027 Financial Results Marathon Season 2 To Start With Free Week and Plenty of New Content ASRock iBox Fanless Mini PCs Get Intel Panther Lake Upgrade Acer Broadens Portfolio with Two New Laptops Powered by the Latest Snapdragon Processors Qualcomm Introduces Snapdragon C Entry‑Level Processors for Budget Laptops OneXPlayer 3 Gaming Handheld Emerges With Intel Arc G3 Extreme Intel Arc G3 CPU Family Officially Released for Handheld Gaming PCs Samsung Exynos 2600 SoC Annotated, Showcases 3-tier CPU, AMD RDNA 4 iGPU Acer Expands Gaming Portfolio with Predator Atlas 8 Handheld Powered by Intel Silicon Motion Introduces SM2524XT PCIe Gen 5 DRAMless SSD Controller PXN Launches the Vector X Professional-Grade Sim Racing Pedals TP-Link Introduces Archer 8, Its First Wi-Fi 8 Router Platform Synology Announces Availability of New FlashStation FS200T Philips Announces Evnia 32M2N8900P QD-OLED 4K 240 Hz Gaming Monitor Samsung Display Develops First 4K 360 Hz QD-OLED Panel for Monitors LG Display Begins Mass Production of World's First 240 Hz RGB Stripe OLED ZALMAN Intros ZM-STC11 Silicone-based Thermal Paste Stream Deck Becomes the Action Layer for AI, Starting with NVIDIA G-Assist GIGABYTE Debuts New BRIX Mini PC Powered by Panther Lake to Scale Enterprise AI Sharkoon Announces the S25 Series Cases Scythe Intros the Magoroku Dual Fin-stack Air CPU Cooler First Look at ZOTAC's GeForce RTX 50-series 20th Anniversary Edition Graphics Cards ADATA TRUSTA AI Scaler Extended Memory Solution Breaks GPU Limits Fosi Audio Introduces C3 Gaming Sound Card with StepSense Footstep Radar Xbox "Player Voice" Forum Sparks Outcry for Exclusives and Free Online Multiplayer Lofree Teases Flow 2 Keyboards With Apple MacBook Neo Color Schemes Kubb Fanless Mini PC Gets Intel Panther Lake Update with High Price Leaker Hints at Astronomical Steam Machine Pricing 2D Platformer "Mina the Hollower" Early Reviews Top 2026 Review Ratings HP Inc. 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ASUS Launches ExpertCenter Pro ET900N G3 Built on NVIDIA DGX Station Architecture
by GFreeman · 2026-06-15 · via TechPowerUp

ASUS today announced the availability of ASUS ExpertCenter Pro ET900N G3, a next-generation deskside AI supercomputer engineered to bring data-center-class AI performance directly to enterprises, AI developers, researchers, and data scientists. Powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and built on NVIDIA DGX Station GB300 architecture, ExpertCenter Pro ET900N G3 delivers exceptional AI compute, massive coherent memory capacity, and enterprise-grade AI infrastructure in a deskside form factor, with future support planned for Windows-based AI development and agentic environments.

As AI adoption rapidly expands across industries, organizations increasingly require powerful local AI infrastructure capable of supporting large-scale AI training, inference, and autonomous agentic AI workflows without relying entirely on cloud computing. ExpertCenter Pro ET900N G3 addresses this growing demand by enabling enterprises to deploy advanced AI capabilities locally with greater control, lower latency, predictable operational costs, and enhanced data privacy. The system is now available worldwide. To learn more or explore deployment opportunities, visit the Contact Me page for further information and consultation.

Built for next-generation AI development
ExpertCenter Pro ET900N G3 is designed to support modern AI workloads ranging from large language model (LLM) fine-tuning and generative AI to physical AI, deep learning research, and autonomous AI agents. Powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip connected through NVIDIA NVLink-C2C high-bandwidth interconnect technology, the system enables high-speed coherent memory access for accelerated AI processing.

With 748 GB of coherent unified memory, ET900N G3 enables developers and researchers to work with significantly larger AI models locally while reducing workflow bottlenecks traditionally associated with conventional workstations. Delivering up to 20 PFLOPS of AI performance, the system provides the computational power required for demanding AI development and inference workloads directly at the desktop.

Data-center-class AI infrastructure in a deskside form factor
Built on the NVIDIA DGX Station GB300 architecture, ASUS ExpertCenter Pro ET900N G3 brings supercomputer-level AI performance into an office-friendly deskside design. The system combines powerful AI acceleration with enterprise-class scalability and connectivity, enabling businesses and research institutions to rapidly deploy AI infrastructure without requiring dedicated data-center environments.

ET900N G3 is optimized for local AI development and supports the NVIDIA AI software stack, providing a turnkey environment for machine learning, analytics, and AI experimentation. The platform is also designed to support interconnected AI workflows, enabling organizations to scale compute performance as AI requirements continue to grow.

Enabling the future of enterprise AI agents
As organizations increasingly adopt agentic AI and autonomous AI assistants, ASUS ExpertCenter Pro ET900N G3 is engineered to support secure, local AI execution for enterprise environments. By enabling on-premises AI workflows, enterprises can maintain stronger governance over sensitive data while accelerating real-time AI operations and reducing dependency on cloud-based infrastructure. ASUS engineering teams conducted extended stress testing using vLLM, demonstrating the exceptional AI computing capabilities of ET900N G3. When running the massive Qwen open-source AI model, the system achieved approximately 864 tokens per second output throughput, with combined input and output processing reaching around 1,600 tokens per second. These results highlight ET900N G3's ability to efficiently handle demanding large-scale open-source AI workloads and accelerate advanced AI development and inferencing at the deskside.

ET900N G3 also supports NVIDIA NemoClaw workflows, enabling enterprises and developers to build and deploy always-on AI assistants and autonomous AI agents within more secure local environments. Combined with the NVIDIA AI software stack, the NemoClaw blueprint helps simplify the development of advanced AI applications while maintaining enterprise-grade control, privacy, and operational flexibility.

The combination of powerful AI compute, extensive coherent memory, and enterprise-ready architecture makes ET900N G3 ideal for AI research labs, enterprise AI deployment, content creation, simulation workloads, and next-generation autonomous AI applications.