Supermicro Super AI Station ARS-511GD-NB-LCC NVIDIA DGX Station GB300 AI Workstation
PRODUCT DESCRIPTION
Supermicro Super AI Station ARS-511GD-NB-LCC NVIDIA DGX Station GB300 Grace Blackwell Ultra AI Workstation, 748GB Coherent Memory, 20 PFLOPS, 4 Γ 1.92TB NVMe, Dual 400G ConnectX-8, Closed-Loop Liquid Cooling (ARS-511GD-NB-LCC) - 3 Years Local Warranty
Supermicro Super AI Station β NVIDIA DGX Station GB300 in a Tower or 5U Rack Chassis
The Supermicro Super AI Station ARS-511GD-NB-LCC is Supermicro's build of the NVIDIA DGX Station GB300 platform: an NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip pairing a 72-core NVIDIA Grace CPU (Arm Neoverse V2) with an NVIDIA Blackwell Ultra B300 GPU over NVLink-C2C, sharing 748 GB of coherent memory and delivering up to 20 petaFLOPS of FP4 AI performance for training, fine-tuning and serving AI models of up to 1 trillion parameters β on premises, under your own data governance.
Supermicro brings its data-centre server engineering to the deskside: closed-loop direct-to-chip liquid cooling, a 1600 W Titanium power supply, IPMI 2.0 and Redfish remote management, a Silicon Root of Trust and a chassis that works as a tower today and converts to a 5U rack unit with an optional rail kit when your AI deployment grows. SourceIT supplies it in Singapore with Supermicro's 3-year parts-and-service warranty with next-business-day onsite hardware support, a full GST invoice and enterprise procurement assistance.
748 GB ECC Coherent Memory for Trillion-Parameter Models
496 GB of ECC LPDDR5X CPU memory (four 128 GB SOCAMM modules) and 252 GB of ECC HBM3e GPU memory unite over NVLink-C2C into a single 748 GB coherent memory space, so frontier-scale LLMs, long-context RAG pipelines, fine-tuning runs and simulation datasets stay resident without CPUβGPU offloading. Multi-Instance GPU (MIG) partitions the Blackwell Ultra GPU into up to seven isolated instances so several users or workloads share one system with guaranteed resources.
4 Γ 1.92 TB Enterprise NVMe, Ubuntu 24.04 LTS Preinstalled
The SourceIT configuration ships with four 1.92 TB enterprise NVMe M.2 SSDs (1 DWPD): two in the PCIe 5.0 x4 slots as an OS RAID 1 pair and two in the PCIe 6.0 x4 slots as a RAID 0 data volume, both configured through the host OS. Ubuntu 24.04 LTS with NVIDIA drivers, CUDA and cuDNN is preinstalled alongside the NVIDIA AI Developer Tools, so the system is ready for vLLM, NVIDIA NeMo, NIM microservices and the wider CUDA ecosystem on delivery. An M.2 E-key slot takes an optional Wi-Fi / Bluetooth module.
Dual 400 GbE ConnectX-8 Networking, PCIe 5.0 Expansion and an Optional Second GPU
Two QSFP 400 GbE ports on the NVIDIA ConnectX-8 SuperNIC (up to 800 Gb/s aggregate) connect the Super AI Station into private AI clusters, distributed training fabrics and NVMe-over-fabric storage, with a 10 GbE RJ45 port for site networking and a dedicated 1 GbE BMC port for out-of-band management. A PCIe 5.0 x16 full-height double-width slot accepts an optional NVIDIA RTX PRO Blackwell display GPU (RTX PRO 2000, 4000 SFF, 6000 Max-Q or 6000 Workstation Edition), and two PCIe 5.0 x8 slots take additional NICs or accelerators.
Enterprise Management, Security and Serviceability
An onboard BMC provides IPMI 2.0 with KVM-over-LAN and virtual media plus a Redfish API, so the system slots into existing data-centre management tooling. TPM 2.0 and a Silicon Root of Trust compliant with NIST 800-193 protect firmware integrity, and chassis intrusion detection is built in. Closed-loop direct-to-chip liquid cooling with five system fans keeps the Superchip at full performance through sustained 24 Γ 7 training and inference.
1600 W Titanium Power, Tower or 5U, 40 kg
A single 1600 W 80 PLUS Titanium (94 %) power supply feeds the system on 115β240 V AC. The chassis measures 218.4 mm high, 454.7 mm wide and 701 mm deep, weighs 40 kg net (51 kg gross), and is rated for 15β32 Β°C operation at 20β80 % non-condensing humidity. The optional MCP-290-75905-0B rail kit converts it to a 5U rackmount unit.
Supermicro Super AI Station ARS-511GD-NB-LCC Datasheet β Technical Specifications
General
| Product Name | Supermicro Super AI Station |
| Model / Part Number | ARS-511GD-NB-LCC (motherboard Super GPU-NVGB300-WSHPM; chassis CSE-759TS-R0CNBP) |
| Category | Enterprise AI workstation / deskside AI supercomputer (NVIDIA DGX Station GB300 platform) |
| Form Factor | Tower, convertible to 5U rackmount with optional rail kit MCP-290-75905-0B |
| Warranty | 3 years parts and service with next-business-day onsite hardware support by Supermicro (OSNBD3) |
| Local Warranty (Singapore) | 3 Years Supermicro NBD onsite; procurement and GST invoice by SourceIT |
Processor & GPU
| Compute Platform | NVIDIA DGX Station architecture β NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip |
| CPU | 1 Γ NVIDIA Grace CPU, 72 Arm Neoverse V2 cores |
| GPU | 1 Γ NVIDIA Blackwell Ultra GPU (fifth-generation Tensor Cores, second-generation Transformer Engine) |
| CPUβGPU Interconnect | NVIDIA NVLink-C2C, 900 GB/s (per NVIDIA DGX Station datasheet) |
| AI Performance | Up to 20 PFLOPS FP4 Tensor Core (with sparsity), per NVIDIA β 10 PFLOPS FP8/FP6, 5 PFLOPS FP16/BF16 |
| Model Support | AI models up to 1 trillion parameters, per NVIDIA |
| GPU Partitioning | Multi-Instance GPU (MIG) β up to 7 instances |
| Optional Second GPU | 1 Γ double-width PCIe 5.0 x16 slot for NVIDIA RTX PRO 2000 / 4000 SFF / 6000 Max-Q / 6000 Workstation Edition Blackwell (quoted separately) |
Memory
| Total Coherent Memory | 748 GB unified CPU + GPU memory space |
| GPU Memory | 252 GB ECC HBM3e |
| CPU Memory | 496 GB ECC LPDDR5X, 4 Γ 128 GB SOCAMM |
Storage
| OS Storage | 2 Γ M.2 2280 PCIe 5.0 x4 NVMe slots β fitted with 2 Γ 1.92 TB enterprise NVMe Gen4 M.2 SSD (1 DWPD), RAID 1 via OS |
| Data Storage | 2 Γ M.2 2280 PCIe 6.0 x4 NVMe slots β fitted with 2 Γ 1.92 TB enterprise NVMe Gen4 M.2 SSD (1 DWPD), RAID 0 via OS |
| Wireless Slot | 1 Γ M.2 2230 E-key PCIe 2.0 x1 (Wi-Fi / Bluetooth module optional) |
Expansion
| PCIe Slots | 1 Γ PCIe 5.0 x16 FHFL double-width; 2 Γ PCIe 5.0 x8 (in x16) FHHL |
Networking
| High-Speed Networking | 2 Γ QSFP 400 GbE, NVIDIA ConnectX-8 SuperNIC (up to 800 Gb/s) |
| General Ethernet | 1 Γ RJ45 10 GbE |
| Management LAN | 1 Γ RJ45 1 GbE dedicated BMC port |
I/O Ports
| Front I/O | 2 Γ USB 3.0 Type-A |
| Rear I/O | 4 Γ USB 3.0 Gen2 Type-A, 1 Γ mini-DisplayPort, audio |
Management & Security
| BMC | IPMI 2.0 with KVM-over-LAN and virtual media over LAN; Redfish API |
| Security | TPM 2.0; Silicon Root of Trust (NIST 800-193 compliant); chassis intrusion detection |
| BIOS | AMI, 64 MB SPI flash |
Operating System & Software
| Operating System | Ubuntu 24.04 LTS with NVIDIA AI Developer Tools β preinstalled with NVIDIA drivers, CUDA and cuDNN |
Power, Cooling, Physical & Environmental
| Power Supply | 1 Γ 1600 W 80 PLUS Titanium (94 %); input 115β240 V AC, 50β60 Hz |
| Cooling | Closed-loop direct-to-chip liquid cooling; fans 2 Γ 140 mm, 2 Γ 80 mm, 1 Γ 60 mm |
| Dimensions (H Γ W Γ D) | 218.4 Γ 454.7 Γ 701 mm (8.6 Γ 17.9 Γ 27.6 in) |
| Weight | 40 kg net; 51 kg gross |
| Operating Environment | 15 β 32 Β°C, 20 β 80 % non-condensing |
| Colour | Black |
Compatibility & Software Support
NVIDIA AI Software Stack
Ships with Ubuntu Linux and the NVIDIA AI Developer Tools preinstalled β the same NVIDIA software foundation used across the DGX family. CUDA, cuDNN, TensorRT and TensorRT-LLM, NVIDIA NeMo, NVIDIA NIM microservices, Triton Inference Server, RAPIDS and NGC containers run natively on the Grace Blackwell Ultra platform, alongside PyTorch, TensorFlow, JAX, vLLM, Hugging Face Transformers, DeepSpeed and ONNX Runtime. Docker and Kubernetes deployment are supported for containerised MLOps pipelines. NVIDIA AI Enterprise is available as a separate subscription for supported production deployments.
Arm64 Architecture β Plan Your Software Accordingly
The Grace CPU is an Arm Neoverse V2 processor, so the operating system, drivers and container images are arm64 (aarch64) builds. Mainstream AI frameworks and NVIDIA NGC containers are published for arm64, but proprietary x86-only applications will not run natively β check any commercial software you rely on before ordering. NVIDIA has announced a separate DGX Station for Windows SKU (Windows plus Windows Subsystem for Linux) for a later release; the units SourceIT supplies today ship with Ubuntu.
Clustering and Networking Compatibility
The two NVIDIA ConnectX-8 SuperNIC QSFP112 ports run at 400 Gb/s each (up to 800 Gb/s aggregate) with RDMA over Converged Ethernet, GPUDirect RDMA and GPUDirect Storage support, so two or more systems can be linked for distributed training, or connected to an NVMe-over-fabric storage array. QSFP112 transceivers or direct-attach cables are ordered separately to match your switch fabric β SourceIT will quote compatible optics alongside the system. The 10GbE RJ45 port covers everyday site networking, and the dedicated management LAN keeps out-of-band BMC traffic isolated from production data.
Supermicro Enterprise Platform
The Super AI Station uses the same BMC, IPMI 2.0 and Redfish management foundation as Supermicro's rack servers, so it can be monitored and serviced alongside existing Supermicro infrastructure, and the optional rail kit lets it move from deskside to a 5U rack slot without a chassis change. Supermicro also offers the system as a Gold Series ready-to-ship configuration; SourceIT quotes the configuration described on this page and can adjust storage or add a display GPU to order.
Package Contents & Ordering Information
What Ships With the System
- Supermicro Super AI Station ARS-511GD-NB-LCC tower with NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
- 2 Γ 1.92 TB NVMe Gen4 enterprise M.2 SSD (1 DWPD) configured as OS RAID 1
- 2 Γ 1.92 TB NVMe Gen4 enterprise M.2 SSD (1 DWPD) configured as data RAID 0
- Ubuntu 24.04 LTS preinstalled with NVIDIA drivers, CUDA and cuDNN
- 1600 W Titanium power supply (installed) and power cord
- Supermicro 3-year parts-and-service warranty with next-business-day onsite hardware support (OSNBD3)
QSFP transceivers or DAC cables, the 5U rackmount rail kit (MCP-290-75905-0B), a Wi-Fi / Bluetooth module and an optional NVIDIA RTX PRO Blackwell display GPU are quoted separately.
NVIDIA DGX Station GB300 Systems at SourceIT Singapore
The Supermicro Super AI Station is quoted by SourceIT Singapore with GST invoice and Supermicro's 3-year NBD onsite warranty; a dedicated 20 A power circuit is recommended for the 1600 W platform.
- ASUS ExpertCenter Pro ET900N G3 β NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- MSI XpertStation WS300 β NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- HP ZGX Fury AI Station G1n β NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- GIGABYTE W775-V10-L01 β NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- NVIDIA DGX Spark β desktop-scale GB10 system (128 GB unified memory, 1 PFLOP FP4) for individual developers
Browse the full NVIDIA DGX Spark & DGX Station collection. For volume, project, research-grant or education pricing, GST invoicing and current lead times, email sales@sourceit.com.sg.
Datasheet & Downloads
Official Supermicro documentation for the Super AI Station ARS-511GD-NB-LCC:
Frequently Asked Questions β Supermicro Super AI Station ARS-511GD-NB-LCC
What is the Supermicro Super AI Station?
Supermicro's build of the NVIDIA DGX Station GB300 platform (model ARS-511GD-NB-LCC): a liquid-cooled tower with the GB300 Grace Blackwell Ultra Superchip, 748 GB ECC coherent memory and up to 20 PFLOPS FP4 for training, fine-tuning and serving AI models of up to 1 trillion parameters on premises β with the option to rack-mount it as a 5U unit.
What storage does it ship with?
Four 1.92 TB enterprise NVMe Gen4 M.2 SSDs rated at 1 DWPD: two as an OS RAID 1 pair on the PCIe 5.0 slots and two as a RAID 0 data volume on the PCIe 6.0 slots, both configured through the host OS.
Is the operating system preinstalled?
Yes. Ubuntu 24.04 LTS is preinstalled with NVIDIA drivers, CUDA and cuDNN, together with the NVIDIA AI Developer Tools.
Can I rack-mount it?
Yes. The chassis is a tower by default and converts to a 5U rackmount unit with Supermicro's optional MCP-290-75905-0B rail and handle kit, quoted separately.
Can I add a display graphics card?
Yes. The PCIe 5.0 x16 double-width slot accepts an NVIDIA RTX PRO 2000, RTX PRO 4000 SFF, RTX PRO 6000 Max-Q or RTX PRO 6000 Workstation Edition Blackwell card β quoted separately.
How does it compare to the NVIDIA DGX Spark?
Different class entirely: the Super AI Station delivers up to 20 PFLOPS FP4 and 748 GB coherent memory for models up to 1 trillion parameters, versus the DGX Spark's 1 PFLOP and 128 GB (about 200 billion parameters). Choose the Spark for individual developers; the Super AI Station for teams and production-scale AI.
Can multiple team members share one system?
Yes β Multi-Instance GPU (MIG) partitions the Blackwell Ultra GPU into up to seven isolated instances for concurrent users and workloads.
Does it need a server room?
No rack is required β cooling is a closed-loop direct-to-chip liquid loop inside the chassis. Plan an air-conditioned space within Supermicro's 15β32 Β°C operating range and a dedicated 20 A power circuit for the 1600 W Titanium power supply.
What warranty does it come with?
Supermicro's 3-year parts-and-service warranty with next-business-day onsite hardware support (OSNBD3), supplied through SourceIT with local support in Singapore.
How do I purchase the Supermicro Super AI Station in Singapore?
SourceIT is an authorised IT reseller in Singapore and supplies the ARS-511GD-NB-LCC with GST invoice, Supermicro onsite warranty and enterprise procurement assistance β contact sales@sourceit.com.sg for configuration options, volume pricing and lead times.
