EMARQUE AI PRO 500 AI Server - RTX PRO 6000 Blackwell

The EMARQUE AI Server — up to 4× NVIDIA RTX PRO 6000 Blackwell (5U) is EMARQUE's own-brand multi-GPU AI server, hand-built and validated in Malaysia around an AMD Ryzen Threadripper PRO 9995WX (96 cores / 192 threads) on the ASUS Pro WS WRX90E-SAGE SE workstation board, with up to 4× NVIDIA RTX PRO 6000 Blackwell Workstation Edition GPUs (96 GB GDDR7 each). It ships as a complete, ready-to-run system in a SilverStone RM52 5U rackmount chassis: 256 GB DDR5-6400 ECC RDIMM, a Samsung 9100 PRO 4 TB PCIe Gen5 NVMe drive, Noctua air cooling on the Threadripper, a 3000W PSU, and Ubuntu LTS preinstalled with the full NVIDIA AI Enterprise stack.

This is the workstation-class path into production multi-GPU on-prem AI — a single 96-core Threadripper PRO platform with up to four RTX PRO 6000 Blackwell GPUs, rack-mountable in 5U, for multi-tenant inference, RAG at scale, and fine-tuning models that exceed a single workstation. EMARQUE AI Solutions are available on request — deployment scoping, rack and PDU sizing, networking integration, multi-server clustering, Base Command and Kubernetes orchestration, private LLM / RAG / agent stack setup, team training. Final configuration confirmed on enquiry against your workload.

Indicative build — final configuration confirmed on enquiry:

• GPUs: up to 4× NVIDIA RTX PRO 6000 Blackwell Workstation Edition — 96 GB GDDR7 ECC per GPU (up to 384 GB total), 24,064 CUDA cores + 752 fifth-gen Tensor cores + 188 fourth-gen RT cores each.
• AI compute: 4 PFLOPS FP4 per GPU — up to 16 PFLOPS FP4 aggregate across four GPUs; 1.79 TB/s memory bandwidth per GPU, active-cooled, 600W, PCIe Gen5. Multi-Instance GPU (MIG) up to 4 instances per GPU.
• CPU: AMD Ryzen Threadripper PRO 9995WX — 96 cores / 192 threads (Zen 5), 2.5 GHz base / up to 5.4 GHz boost, 384 MB L3, 350W, socket sTR5, 128 PCIe 5.0 lanes.
• Motherboard: ASUS Pro WS WRX90E-SAGE SE (WRX90, sTR5) — 7× PCIe 5.0 x16 slots, 8-channel DDR5 RDIMM.
• System memory: 256 GB DDR5-6400 ECC RDIMM (4× 64 GB Kingston KSM64R52BD4-64M, 2Rx4, CL52) — expandable on the 8-channel WRX90 platform.
• Storage: Samsung 9100 PRO 4 TB PCIe Gen5 x4 NVMe SSD; additional NVMe / SSD bays per configuration.
• CPU cooling: Noctua NH-U14S TR5-SP6 air cooler.
• Power: 3000W PSU (Corsair WS3000) — sized for a four-GPU Threadripper PRO build.
• Chassis: SilverStone RM52 5U rackmount, 19-inch standard rack; supports full-length dual-slot GPUs.
• OS / Stack: Ubuntu LTS + full NVIDIA AI Enterprise stack.

Email business@emarque.co for the full configuration sheet.

The NVIDIA RTX PRO 6000 Blackwell Workstation Edition is NVIDIA's flagship Blackwell-generation professional GPU: 96 GB GDDR7 ECC, 24,064 CUDA cores, 752 fifth-gen Tensor cores with FP4 precision, 4 PFLOPS of FP4 AI performance and 1.79 TB/s of memory bandwidth, on a 600W active-cooled PCIe Gen5 card. It supports Multi-Instance GPU (MIG) up to 4 isolated instances. Up to four of them on the AMD Threadripper PRO 9995WX / ASUS Pro WS WRX90E-SAGE SE platform gives up to 384 GB aggregate GPU memory and up to 16 PFLOPS of aggregate FP4 compute — the throughput to serve multi-tenant inference, fine-tune models (per-GPU classes under ~70B parameters), run organisation-scale RAG, and handle vision plus multimodal workloads, all from one rack-mountable box.

Because these are PCIe GPUs (not an NVLink baseboard like HGX B300), this tier is the most cost-effective and flexible path into multi-GPU on-prem AI. The 96-core Threadripper PRO platform provides 128 PCIe 5.0 lanes and 8-channel ECC memory to keep four GPUs fed, in a SilverStone RM52 5U chassis that rack-mounts a full workstation-class build with room for airflow and expansion.

The EMARQUE AI Server — 4× NVIDIA RTX PRO 6000 Blackwell ships with EMARQUE's 3-year warranty on the EMARQUE-built system (assembly, configuration, thermals), with individual component warranties (GPUs, PSU, motherboard, NVMe) per manufacturer on top — up to 3–5 years depending on the component. EMARQUE's built-in role is Malaysia-based local handling:

• Single point of contact — pre-sale, post-sale and warranty routed through the same EMARQUE team. Real engineer, no offshore queue.
• RMA routing — if a component fault appears, EMARQUE handles the warranty claim path on your behalf.

For deeper post-sale needs — pre-deployment burn-in, OS / driver / NCCL tuning, networking integration, multi-server cluster 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.

Step up vs the 6× and 8× RTX PRO 6000 Blackwell servers: those are EMARQUE's dense In Win rackmount builds (576 GB and 768 GB aggregate) for maximum single-box GPU density. This 5U Threadripper PRO build is the up-to-4-GPU tier — a single 96-core workstation-class platform, rack-mountable in 5U, for teams that want strong multi-GPU AI without moving to a full dense-GPU server.

Step up vs NVIDIA HGX B300 (the EMARQUE AI HGX B300 HGE8): HGX B300 is the frontier tier — 8× B300 Blackwell Ultra with full NVLink GPU-to-GPU interconnect and 2.1 TB HBM3E — for the largest training and inference workloads where memory-coupled GPU-to-GPU bandwidth is the constraint. This RTX PRO 6000 build is the cost-effective PCIe tier below it.

EMARQUE AI sizes the right tier against your workload (email business@emarque.co).

Production AI workloads — the things that exceed a single workstation:

• Multi-tenant inference — serve multiple models or users concurrently with predictable latency. NIM microservices, vLLM, TensorRT-LLM.
• LLM fine-tuning at production scale — SFT, RLHF, DPO, LoRA, QLoRA on mid-to-frontier models.
• Retrieval-augmented generation at organisation scale — embedding pipelines, vector search, document AI for hundreds of thousands of documents.
• Computer vision and multimodal — VLM training and inference, video pipelines.
• Agentic AI with secure tool-calling and autonomous workflows.
• RAPIDS for massive-dataset data science.

Real-world: private GPT-class fine-tuning on enterprise data, organisation-wide internal LLM serving, sovereign-AI deployments where data must stay on-prem.

EMARQUE-built RTX PRO 6000 Blackwell AI Servers ship with Ubuntu LTS plus the full NVIDIA AI Enterprise stack — CUDA, container runtimes, NIM microservices for production inference, AI Workbench, and pre-built framework images (PyTorch, vLLM, RAPIDS, NeMo).

EMARQUE AI Solutions on request can layer in a ready-to-use private LLM, RAG, embeddings and agentic-AI stack pre-configured for your data and use case — chat UI, vector search, document ingestion, model serving, all on-prem. This is the key difference vs a rebranded-chassis integrator: you get NVIDIA's production AI software stack and EMARQUE's deployment support, not just metal with GPUs in it.

Pre-ordering the EMARQUE AI Server — 4× NVIDIA RTX PRO 6000 Blackwell with EMARQUE:

• Locks your allocation for delivery in Malaysia.
• Final pricing confirmed on enquiry — pricing varies by configuration (CPU SKU, system memory, NVMe capacity and tier, networking SKU, software stack, EMARQUE AI services scope). Listed price is an indicative estimate.
• Build, integration and validation lead time confirmed at order — depends on GPU availability and configuration complexity.
• Direct access to the EMARQUE AI team during pre-order for deployment scoping (rack, PDU, networking fabric, multi-server cluster planning, software stack).

Click ENQUIRE NOW above or email business@emarque.co.

EMARQUE is among the first solution providers in Malaysia building multi-GPU AI servers in the RTX PRO 6000 Blackwell tier. What sets EMARQUE apart:

• It is EMARQUE-built. EMARQUE selects, integrates, validates and thermally tunes the whole system — the Threadripper PRO 9995WX platform, GPU placement, airflow, cooling and BIOS in the SilverStone RM52 5U chassis — not a relabelled box. Real engineering control over how it runs in your rack, with a direct Malaysia-based warranty path.
• NVIDIA AI Enterprise included. You get NVIDIA's production AI software stack (CUDA, NIM, framework images, AI Workbench) configured and ready — not just metal with GPUs in it.
• Solutions available from the EMARQUE AI team — deployment scoping, rack and PDU sizing, networking, multi-server clustering, Base Command and Kubernetes orchestration, private LLM / RAG / agent stack deployment, team training. Scope and charges quoted on enquiry.
• Sovereign AI for Malaysian organisations — your data, your models, your stack, on-premise, supported in country.

For buyers comparing AI server providers, the practical question is who can integrate the box, the rack, the network and the AI stack — in country, with one point of contact. 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.