ASUS ExpertCenter Pro ET900N G3 NVIDIA DGX Station Grace Blackwell Ultra Computer

The ASUS ExpertCenter Pro ET900N G3 is ASUS's NVIDIA DGX Station partner unit — a tower-form-factor desktop AI supercomputer built on NVIDIA's GB300 Grace Blackwell Ultra Desktop Superchip reference design. Each unit ships as a complete system: the GB300-based tower, integrated power, ASUS's documentation, and NVIDIA's DGX OS preinstalled. For teams deploying serious on-prem AI, EMARQUE AI Solutions are available on request — pre-validation testing, deployment scoping, MIG partitioning, ConnectX-8 networking integration, private LLM/RAG/agent stack setup.

ASUS's ExpertCenter Pro line carries the brand's enterprise-workstation pedigree — a tower chassis tuned for sustained AI workloads, designed under ASUS's "Advanced Performance" classification for the ET900N G3 SKU. ASUS is one of NVIDIA's launch partners for the DGX Station family; all partner units share the GB300 silicon, so meaningful differences come down to chassis design, thermal envelope, storage layout, and I/O integration. ASUS's variant is purpose-built for the NVIDIA DGX Station architecture and supports the full software stack including NVIDIA NemoClaw for secure agentic AI workflows.

The ASUS ExpertCenter Pro ET900N G3 follows NVIDIA's published DGX Station GB300 reference specification:

• Superchip: NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip — Grace 72-core Arm Neoverse V2 CPU + Blackwell Ultra GPU, linked via NVLink-C2C at 900 GB/s.
• Total coherent memory: up to 748 GB — 252 GB HBM3e GPU memory @ 7.1 TB/s + 496 GB LPDDR5X CPU memory @ 396 GB/s, unified across CPU and GPU.
• AI compute: up to 20 PFLOPS FP4 (153 PFLOPS sparse peak); 10 PFLOPS FP8/FP6; 5 PFLOPS FP16/BF16; 2.5 PFLOPS TF32; 1.3 TFLOPS FP64. Fifth-generation Tensor Cores supporting 4-bit floating point (FP4) AI.
• Model ceiling: supports models up to 1 trillion parameters.
• Networking: NVIDIA ConnectX-8 SuperNIC at up to 800 Gb/s; 2× QSFP112 @ 400 Gb/s each; 1× RJ45 10 GbE.
• Storage: 4× M.2 Gen 5 NVMe slots.
• MIG: partitions the Blackwell Ultra GPU into up to 7 isolated instances for multi-user serving.
• NemoClaw: supports NVIDIA NemoClaw for secure, streamlined AI agent workflows.
• Power: 1,600W.
• Form factor: tower design, advanced-performance class.
• OS: NVIDIA DGX OS (Ubuntu + NVIDIA AI Developer Tools) + full NVIDIA AI Enterprise stack.

ASUS-specific chassis details (exact dimensions, weight, cooling design, I/O port layout, expansion slot configuration) will be confirmed against ASUS's launch documentation. Email business@emarque.co for final config.

NVIDIA DGX Station is a desktop AI supercomputer built on the GB300 Grace Blackwell Ultra Superchip, designed for serious on-prem AI workloads — training and fine-tuning trillion-parameter models, multi-user inference (MIG up to 7 instances), agentic AI with NemoClaw, RAG at scale, vision-language models, physical AI, and massive-dataset data science via RAPIDS. Target users: AI research labs, enterprise data science teams, university HPC programmes, AI-product engineering teams. The step up from DGX Spark when one Spark is too small and workstation-class GPUs aren't enough.

The ASUS ExpertCenter Pro ET900N G3 ships with ASUS's 3-year manufacturer warranty covering hardware faults on the unit and components. EMARQUE's built-in role is local handling:

• Local point of contact — pre-sale, post-sale, and warranty all routed through the same EMARQUE team. Real person, no ticket queue.
• RMA routing — if a hardware fault appears, we route the ASUS warranty claim on your behalf so you don't have to navigate the manufacturer's process yourself.

For deeper post-sale needs — pre-validation testing, OS reinstall, driver issues, MIG configuration, ConnectX-8 networking, multi-Station setup, private AI stack deployment — solutions are available from the EMARQUE AI team on request. Scope and charges quoted on enquiry. Software / OS / driver / setup support is scoped to the 3-year warranty window.

Same family, very different scale. DGX Spark: GB10 Grace Blackwell, 128 GB unified memory, ~1 PFLOPS FP4, models up to ~200B (practical ~120B), 240W — the personal AI development unit. DGX Station: GB300 Grace Blackwell Ultra, 748 GB coherent memory, 20 PFLOPS FP4 (153 PFLOPS sparse peak), models up to 1 trillion parameters, MIG up to 7 users, 1,600W.

Spark = local AI development, prototyping, fine-tuning small-to-mid LLMs. Station = serious on-prem AI infrastructure, multi-user inference, frontier-scale training. EMARQUE AI helps you size the right tier (email business@emarque.co).

LLM training and fine-tuning up to 1T-parameter scale — pre-training, SFT, RLHF, DPO, LoRA / QLoRA at production sizes. Multi-user inference via MIG up to 7 isolated partitions — one Station serves a whole team. Agentic AI with NVIDIA NemoClaw for secure tool-calling and autonomous workflows. Vision-language models, multimodal, physical-AI training for robotics/autonomous systems. Massive-dataset data science via RAPIDS. Real-world: private GPT-class fine-tuning on enterprise data, multi-team inference, AI Foundry-style internal LLM deployments.

DGX Station ships with NVIDIA DGX OS (Ubuntu base + NVIDIA AI Developer Tools, qualified and locked for AI workloads) and the full NVIDIA AI Enterprise stack — CUDA, container runtimes, NIM microservices, AI Workbench, and pre-built framework images (PyTorch, vLLM, RAPIDS, NeMo). Plus NVIDIA NemoClaw for secure agentic AI workflows. You can run frontier models out of the box without spending weeks on stack setup. EMARQUE AI Solutions on request can layer in a ready-to-use private LLM/RAG/agent stack pre-configured for your use case.

DGX Station is officially Coming 2026 per NVIDIA — launching through OEM partners including ASUS. Pre-ordering with EMARQUE:

• Locks your allocation when ASUS ExpertCenter Pro ET900N G3 units arrive in Malaysia.
• Final pricing confirmed on enquiry once ASUS's official partner pricing is published. Listed price is an indicative estimate only.
• Delivery window aligned with NVIDIA's 2026 launch + ASUS's regional shipping schedule.
• Direct access to the EMARQUE AI team during pre-order for deployment scoping (MIG, ConnectX-8, private LLM stack, team training).

Click ENQUIRE NOW above or email business@emarque.co to start the pre-order conversation.

EMARQUE is among the first solution providers in Malaysia to take pre-orders for the NVIDIA DGX Station family. What sets EMARQUE apart is the depth of solutions available from the EMARQUE AI team:

• Deployment solutions on request — MIG partitioning, ConnectX-8 / QSFP112 networking setup, NemoClaw integration for agentic AI, private LLM / RAG / agent stack deployment, team training. Scope and charges quoted on enquiry.
• Workflow sizing consultation — DGX Station vs DGX Spark vs RTX PRO 6000 vs AI server. Honest assessment of which tier fits your real workload.
• Pre-validation testing on request — bench-test the unit for thermal performance and stability before dispatch.
• Local point of contact — pre-sale sizing, post-sale technical questions, warranty handling — same Malaysian team, no offshore queue.
• EMARQUE AI stack + assisted setup — pre-configured local stack (chat UI, RAG with vector search, document ingestion, model serving) installed and tuned for your data.

For buyers comparing solution providers on the same hardware, the practical question is: who actually knows this product in country and can help when you need it? Email business@emarque.co for sizing.

Yes. EMARQUE AI is our dedicated AI compute division — full NVIDIA AI hardware stack and on-prem deployment for Malaysian businesses, research labs, and enterprises: NVIDIA Personal AI (DGX Spark, 2× Spark stacking), AI workstations (RTX PRO 6000 Blackwell and others), DGX Station GB300, multi-GPU AI servers, plus full integration support. Visit EMARQUE.AI or contact business@emarque.co.