NVIDIA Vera Rubin NVL72 VRE72 AI Server

The NVIDIA Vera Rubin AI Server is NVIDIA's next-generation AI server platform — combining the Vera CPU (Arm-based, next-generation after Grace) with the Rubin GPU architecture (next-generation after Blackwell Ultra). The platform is available to order; full configuration details, exact specifications and Malaysia availability are confirmed on enquiry as NVIDIA finalises the launch with OEM partners.

Vera Rubin is positioned for organisations whose deployment timeline aligns with NVIDIA's next-generation launch and who want to deploy on the latest-generation hardware rather than current-shipping Blackwell Ultra. EMARQUE AI Solutions are available on request — deployment scoping, rack and PDU planning, fabric design, multi-server cluster planning, software stack integration. Email business@emarque.co to start the conversation as part of EMARQUE's Malaysia allocation.

NVIDIA Vera Rubin is ramping into full production. Its flagship rack-scale system is the Vera Rubin NVL72 — NVIDIA's published specification:

• Configuration: 72 NVIDIA Rubin GPUs + 36 NVIDIA Vera CPUs, rack-scale.
• AI compute: 3.6 exaFLOPS (3,600 PFLOPS) NVFP4 inference; 2,520 PFLOPS NVFP4 training; 1,260 PFLOPS FP8 training.
• GPU memory: 20.7 TB HBM4 across the rack; 1.58 PB/s (1,580 TB/s) aggregate bandwidth.
• Rubin GPU: up to 288 GB HBM4 per GPU, up to 22 TB/s, 50 PFLOPS NVFP4 inference; dual-die, 336-billion transistors.
• Vera CPU: 88 custom Olympus Arm v9.2 cores / 176 threads, up to 1.5 TB LPDDR5X.
• Interconnect: sixth-generation NVLink at 3.6 TB/s per GPU (260 TB/s NVLink Switch aggregate); NVLink-C2C 1.8 TB/s CPU-to-GPU.
• Networking: NVIDIA ConnectX-9 SuperNICs (1.6 Tb/s per GPU), NVIDIA BlueField-4 DPUs, NVIDIA Spectrum-6 Ethernet.
• Massive-context variant: the Vera Rubin NVL144 CPX adds Rubin CPX GPUs for 1M+ token inference — up to 8 exaFLOPS NVFP4, 100 TB memory, 1.7 PB/s.

EMARQUE offers Vera Rubin as a Malaysia pre-order allocation — full NVL72 rack, compute trays or node configurations scoped on enquiry. Email business@emarque.co.

NVIDIA Vera Rubin is NVIDIA's next-generation AI compute platform — the successor to the Grace Blackwell generation that powers the current DGX Spark, DGX Station and B300 tiers. It is a six-chip platform: the Vera CPU (88 custom Olympus Arm cores), the Rubin GPU (dual-die, up to 288 GB HBM4, 50 PFLOPS NVFP4), the NVLink 6 switch, the ConnectX-9 SuperNIC, the BlueField-4 DPU and the Spectrum-6 Ethernet switch. The flagship rack-scale system is the Vera Rubin NVL72 — 72 Rubin GPUs + 36 Vera CPUs delivering 3.6 exaFLOPS of NVFP4 inference in one rack — with the Vera Rubin NVL144 CPX as the massive-context variant for 1M+ token inference (up to 8 exaFLOPS). NVIDIA Vera Rubin is now ramping into full production.

For organisations whose AI compute roadmap stretches beyond the current Blackwell Ultra generation — multi-year on-prem AI strategy, frontier-model training and reasoning workloads that need next-generation memory and compute — Vera Rubin is the platform to plan around. EMARQUE is among the first solution providers in Malaysia taking pre-orders for Vera Rubin allocation.

The NVIDIA Vera Rubin AI Server will ship with the OEM partner's 3-year manufacturer warranty covering hardware faults — exact terms confirmed against the OEM's launch documentation. 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.
• RMA routing — if a hardware fault appears, EMARQUE routes the OEM warranty claim on your behalf.

For deeper post-sale needs — deployment, OS / driver / NCCL tuning, fabric design, multi-server cluster setup, orchestration, private AI stack deployment, team training — solutions are available from the EMARQUE AI team on request. Scope and charges quoted on enquiry.

Step down vs NVIDIA HGX B300: HGX B300 is shipping today on the current Blackwell Ultra generation — production-ready, known specifications, deployable now. Vera Rubin is the next-generation platform — the right choice if your deployment timeline aligns with NVIDIA's Vera Rubin launch and you want next-generation hardware.

Step down vs EMARQUE AI Server — 8× RTX PRO 6000 Blackwell: 8× RTX PRO 6000 is the GDDR7-based production-density tier on the current Blackwell generation — lower cost per box, deployable now. Vera Rubin is the next-generation tier above.

Vera Rubin itself is delivered rack-scale as the Vera Rubin NVL72 (72 Rubin GPUs, 3.6 exaFLOPS NVFP4 inference). For massive-context inference at 1M+ tokens, the Vera Rubin NVL144 CPX adds Rubin CPX GPUs for up to 8 exaFLOPS. EMARQUE AI scopes the right configuration — rack, tray or node — on request.

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 AI Servers ship with 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). NVIDIA HGX B300 additionally ships with NVIDIA DGX OS and Base Command for multi-tenant orchestration; EMARQUE-built RTX PRO 6000 servers ship on Ubuntu LTS plus the NVIDIA AI Enterprise stack.

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.

NVIDIA Vera Rubin is available to order for next-generation allocation. Pre-ordering with EMARQUE:

• Locks your allocation in EMARQUE's Malaysia pre-order pool for Vera Rubin delivery.
• Final pricing confirmed on enquiry — pricing structure is published against NVIDIA's launch documentation as it finalises.
• Delivery window aligned with NVIDIA's Vera Rubin launch and Malaysia shipping schedule — indicative timing confirmed at order.
• Direct access to the EMARQUE AI team during pre-order for deployment scoping — rack, PDU, fabric, software stack and integration planning so you're ready on delivery.

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

EMARQUE is among the first solution providers in Malaysia taking next-generation Vera Rubin pre-orders. What sets EMARQUE apart on this tier:

• Allocation access — secured Malaysia allocation for next-generation NVIDIA AI hardware, with EMARQUE as the local solution-provider relationship.
• Roadmap alignment — honest sizing of whether Vera Rubin (next-generation, launching) or HGX B300 (current generation, shipping) fits your timeline and workload.
• Solutions available from the EMARQUE AI team — deployment scoping, rack and fabric design, orchestration, private AI stack deployment, team training. Scope and charges quoted on enquiry.
• Local point of contact — pre-sale sizing, post-sale technical questions, warranty handling — same Malaysian team, no offshore queue.

For buyers planning multi-year on-prem AI strategy, the practical question is who can secure next-generation allocation, integrate it on landing, and support it in country. Email business@emarque.co.

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.