Supermicro
Supermicro ARS-511GD-NB-LCC-01-G2 workstation 72-core 496GB LPDDR5X 252GB GPU
Deskside AI supercomputer with 72-core Grace CPU, 496GB LPDDR5X and 252GB GPU memory
- TypeTower
- Rack Height5U/Tower
- Server Scalability1-Way
- LEDsHDD activity LED Power status LED
- Redundant Hot-swap PowerNo
- AI FeaturesAI Accelerated
- 72-core Grace CPU delivers data-centre AI compute
- 496GB LPDDR5X unified memory handles trillion-parameter models
- 252GB HBM3e GPU memory accelerates large-model training
- Liquid-cooled 5U tower runs quietly at the desk
- Two 1.92TB plus two 960GB NVMe drives store datasets fast
Deskside AI supercomputer
The Supermicro Super AI Station ARS-511GD-NB-LCC-01-G2 is a tower workstation built around the NVIDIA GB300 Grace Blackwell Ultra Superchip. It integrates a 72-core Grace CPU with a Blackwell Ultra GPU that provides 252GB of HBM3e video memory. The system delivers up to 20 PFLOPS of AI performance in a liquid-cooled chassis designed for quiet office use.
Coherent memory and local NVMe limits
The platform unifies 496GB of LPDDR5X system memory with GPU memory for up to 748GB of coherent capacity. Local storage consists of two 1.92TB and two 960GB M.2 NVMe PCIe 4.0 drives. This fixed configuration suits large-model workloads but cannot be expanded with additional drive bays or memory modules.
Replaces rack AI servers for desk development
Teams moving model training and agentic AI development out of the data centre gain a plug-and-play system that runs from a standard NEMA 5-20 outlet. The jump is worth it when data privacy, low latency iteration, and native NVIDIA software stack support outweigh the need for multi-node scaling or hot-swap redundancy.
Highlights
- 72-core Grace CPU delivers data-centre AI compute
- 496GB LPDDR5X unified memory handles trillion-parameter models
- 252GB HBM3e GPU memory accelerates large-model training
- Liquid-cooled 5U tower runs quietly at the desk
- Two 1.92TB plus two 960GB NVMe drives store datasets fast
Specifications
| Brand | SUPERMICRO |
|---|---|
| Series | Super AI Station |
| Model | ARS-511GD-NB-LCC-OTO-1 |
| Type | Tower |
| Rack Height | 5U/Tower |
| Server Scalability | 1-Way |
| LEDs | HDD activity LED Power status LED |
| Redundant Hot-swap Power | No |
| AI Features | AI Accelerated |
| CPU Type | NVIDIA Grace |
| CPU Speed | NVIDIA Grace CPU on NVIDIA GB300 Grace Blackwell Ultra Superchip |
| CPU Socket | Superchip module |
| Number of CPU Cores | 72-Core Processor |
| # of Processors Installed | 1 |
| MAX Processors | 1 |
| Installed Memory Size | 496GB |
| Memory Type | LPDDR5X |
| Servers_Graphic Installed | 1 |
| GPU Type | NVIDIA Blackwell Ultra (B300) GPU |
| Video Memory | 252GB HBM3e |
| LAN Ports | Dual-port QSFP 400 GbE LAN via NVIDIA ConnectX-8 SuperNIC Dedicated 1GbE BMC LAN 10GbE LAN |
| Expansion Slots | 1 PCIe 5.0 x16 FHFL double-width slot 2 PCIe 5.0 x8 (in x16) FHHL slots |
| Expansion Bays | 4 M.2 PCIe 5.0 NVMe |
| Operating System | Ubuntu |
| Power Characteristics | 1 x 1600W Titanium Level (94%) power supply |
| Temperature | Operating Temperature: 10°C to 25°C (50°F to 77°F) Non-operating Temperature: -40°C to 60°C (-40°F to 140°F) |
| Humidity | Operating Relative Humidity: 8% to 90% (non-condensing) Non-operating Relative Humidity: 5% to 95% (non-condensing) |
| Dimensions | 17.9" x 8.6" x 27.6" |
| Weight | 88 lbs. |
| Shipping weight | 50.98 kg |
| Package size | 955 × 655 × 389 mm |
Questions about this item
Which memory configuration should I select for the 496GB LPDDR5X system?
The workstation ships with four 128GB LPDDR5X SOCAMM modules totalling 496GB; this is the only memory configuration offered for the Grace CPU superchip.
What does the 20 PFLOPS AI performance figure mean when the system is running locally?
It represents up to 20 petaFLOPS of AI compute from the integrated GB300 Grace Blackwell Ultra superchip, enabling trillion-parameter model work on the desk.
What interface do the four M.2 drives use and what speed does it cap at?
Two 1.92TB and two 960GB M.2 drives run on PCIe 4.0 NVMe, limiting each drive to the 4.0 lane bandwidth.
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