
( Brand: Supermicro ), ( Manufacturer Part Number: X10DGO-SXMV ), ( Part Type: Server ), ( Country Of Origin: Taiwan )
The Supermicro X10DGO-SXMV 8x NVIDIA Tesla V100 SXM2 GPU Server HGX Learning is a high-performance, enterprise-grade server designed specifically for deep learning, AI, and HPC workloads. This server comes equipped with eight NVIDIA Tesla V100 GPUs, each featuring 5,120 CUDA cores, 640 Tensor Cores, and 32 GB of HBM2 memory, delivering an incredible processing power of up to 14 TFLOPS.
The server chassis is a 2U Supermicro 1028U-TN45B-SSTR Open-Frame Design, which offers excellent airflow and cooling capabilities, ensuring optimal performance for the GPUs. The server supports eight GPUs in a 2S configuration, meaning two GPUs per node, allowing for maximum flexibility and scalability.
The motherboard of this server is the Supermicro X10SDV-8C-TLN4F, which is an Intel Xeon Scalable (Skylake-SP) based server board. The server supports two Intel Xeon Platinum 8260R processors, each with 28 cores and 56 threads, providing ample processing power for running complex workloads alongside the GPUs. The motherboard also supports up to 192GB of DDR4 ECC Registered memory, ensuring sufficient memory for large datasets.
The server comes with eight hot-swappable 800W power supplies, providing a total power capacity of 6.4kW. The power supplies offer 96% efficiency and are highly reliable, ensuring that the server remains stable and efficient during intensive workloads.
The I/O connectivity of the server includes two 10GbE SFP network ports, one 1GbE management port, and two USB 3.0 ports. The server also supports two PCIe x16 slots for additional expansion cards, such as network interface controllers or Fibre Channel HBAs.
The server is designed for easy management and maintenance, with a tool-less side panel for easy access to the components. The server also includes a built-in IPMI 2.0 controller, allowing for remote management and monitoring of the server's health and performance.
The Supermicro X10DGO-SXMV 8x NVIDIA Tesla V100 SXM2 GPU Server HGX Learning is an excellent choice for data centers and research institutions that require high-performance, scalable, and flexible infrastructure for deep learning, AI, and HPC workloads. With its powerful GPUs, efficient cooling system, and robust management features, this server is sure to deliver exceptional performance and reliability for even the most demanding workloads.
The Supermicro X10DGO-SXMV 8x NVIDIA Tesla V100 SXM2 GPU Server HGX is a high-performance server designed for deep learning and AI workloads. Here are some pros and cons of buying this server:
Pros:1. High Computing Power: With eight NVIDIA Tesla V100 GPUs, this server offers a massive computing power for deep learning and AI workloads.
2. Scalability: The server supports up to eight GPUs, allowing you to add more GPUs as your workload grows.
3. High Memory Capacity: Each NVIDIA Tesla V100 GPU comes with 32GB of HBM2 memory, providing a total memory capacity of 256GB for the server.
4. High-Speed Networking: The server supports 100Gb Ethernet, allowing for fast data transfer between GPUs and other devices.
5. Flexible Configuration: The server can be configured with different GPUs, memory sizes, and network adapters to meet specific requirements.
6. Reliable: Supermicro is known for its reliable server designs, making this a good option for mission-critical deep learning and AI workloads.
7. Energy Efficient: NVIDIA Tesla V100 GPUs are designed to be energy efficient, reducing power consumption and operational costs.
Cons:1. Expensive: The server is quite expensive due to the high-performance GPUs and other components.
2. Complex Setup: Setting up a server with multiple GPUs can be complex, requiring expertise in server administration and deep learning software.
3. Large Power Consumption: Despite being energy efficient, the server still consumes a significant amount of power due to the high-performance GPUs.
4. Limited Storage: The server does not come with any internal storage, requiring you to add external storage solutions.
Conclusion:The Supermicro X10DGO-SXMV 8x NVIDIA Tesla V100 SXM2 GPU Server HGX is an excellent choice for organizations that require high-performance computing power for deep learning and AI workloads. Its massive computing power, scalability, and flexible configuration make it a versatile option for various use cases. However, its high cost and complex setup may make it a less attractive option for smaller organizations or individuals.
Recommendation:If you require high-performance computing power for deep learning and AI workloads, the Supermicro X10DGO-SXMV 8x NVIDIA Tesla V100 SXM2 GPU Server HGX is an excellent choice. However, if the cost is a concern, you may want to consider other options with fewer GPUs or lower-performance GPUs. Additionally, if you lack expertise in server administration and deep learning software, it may be worth considering managed deep learning services or hiring external consultants to help with the setup and configuration.
Thermal paste residue visible. GPU: 8x NVIDIA Tesla V100 SXM2 modules installed. This listing is for a Supermicro X10DGO-SXMV GPU server system, configured with 8x NVIDIA Tesla V100 SXM2 GPS. Chassis: Rack mount GPU server.
Normal signs of use. System Specifications: Motherboard: Supermicro X10DGO-SXMV HGX / NV Link capable. Cooling: Enterprise heat sinks high-performance fan system. Condition: Good physical condition.
High-End 8-GPU NVIDIA HGX AI Server Platform. Machine learning / CUDA workloads. This is a high-density compute platform designed for AI training, deep learning, and HPC environments. Interconnect: NV Link support HGX platform.
HPC / scientific computing. Exact memory capacity not individually tested. Heat sinks fan modules. Use Cases: AI / Deep Learning training.
Server chassis as shown. GPU cluster environments. Important Notes: CPU, RAM, storage, PSU NOT included. Requires proper data power/cooling setup.