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Supermicro AS-4124GO-NART Includes: 8x A100 80GB SXM4 699-2G506-0212-3
The Supermicro AS-4124GO-NART is a purpose built server platform designed to deliver world class performance for artificial intelligence, deep learning and high performance computing workloads. It ships fully populated with eight NVIDIA A100 80GB SXM... Read More
price
$99,079.95
- In Stock: 9
- Manufacturer: Supermicro
- Model or Part: AS-4124GO-NART
- Condition: Refurbished
- Weight: 3.00lb
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Item Condition
New - Sealed or Open Box ConditionExcellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item
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Overview
The Supermicro AS-4124GO-NART is a purpose built server platform designed to deliver world class performance for artificial intelligence, deep learning and high performance computing workloads. It ships fully populated with eight NVIDIA A100 80GB SXM4 accelerators (part number 699-2G506-0212-3), providing unparalleled compute density in a single rackmount chassis.
Key Features
- Eight NVIDIA A100 80GB SXM4 GPUs for massive parallel processing power
- Dual Intel Xeon Scalable processors supporting up to 56 cores each
- Up to 8TB DDR5 memory with high bandwidth and low latency
- Integrated 200GbE networking options for fast data movement
- NVMe U.2 and SATA storage bays for flexible, high speed storage configurations
- Advanced thermal design with liquid cooling support to maintain optimal GPU temperatures
- Remote management via Supermicro IPMI 2.0 with secure web interface
Technical Specifications
- GPU: NVIDIA A100 SXM4, 80GB HBM2e, 3120 MHz boost clock
- CPU: Up to 2 x Intel Xeon Scalable (Ice Lake), up to 56 cores per socket
- Memory: DDR5 ECC RDIMM, up to 8TB total, 4800 MT/s
- Storage: 4 x NVMe U.2, 6 x SATA 3.5", optional hot-swap SSD bays
- Networking: Dual 200GbE ports or optional 100GbE mezzanine cards
- Power Supply: Redundant 2400W Platinum efficiency units
- Form Factor: 4U rackmount, dimensions 19.5in x 8.75in x 6.7in (H)
- Operating Temperature: 0 to 40 deg C ambient
Typical Applications
- Deep learning model training and inference at scale
- Scientific simulations requiring high floating point throughput
- Large language model development and fine-tuning
- High performance data analytics and AI accelerated databases
- Virtual desktop infrastructure with GPU acceleration
- Edge computing nodes for autonomous systems and robotics