USED Nvidia Tesla M40 12GB GPU GDDR5 Passive Arithmetic Graphics Card 900-2G600-0010

The NVIDIA Tesla M40 (model 900-2G600-001) is a powerful accelerator designed for high-performance computing, deep learning, and machine learning workloads. Featuring 12GB of GDDR5 memory, this GPU delivers impressive performance for computationally intensive tasks, making it an ideal choice for data centers, AI researchers, and organizations focused on AI model training and high-performance scientific computing.

Key Features:

• GPU Architecture: Based on the Maxwell architecture, the Tesla M40 delivers outstanding performance for AI training, data analytics, and simulation. The Maxwell architecture brings significant improvements in power efficiency and compute performance compared to its predecessors.
• Memory: The Tesla M40 comes with 12GB of GDDR5 memory, which provides ample bandwidth and capacity to handle large-scale datasets. With 288GB/s memory bandwidth, it ensures smooth and fast data processing, even for memory-intensive applications like deep learning training.
• CUDA Cores: The Tesla M40 has a total of 3,072 CUDA cores, which are highly optimized for parallel processing tasks. These cores enable the GPU to efficiently handle complex, large-scale computation tasks such as AI model training and simulation.
• High Throughput for AI: The Tesla M40 delivers 7 TFLOPS of single-precision (FP32) performance, providing the necessary computational power to train complex neural networks and process large datasets in a fraction of the time required by traditional CPUs.
• Passive Cooling: This version of the Tesla M40 is equipped with a passive cooling solution, making it a good fit for environments where low noise levels are required or in cases where the system’s overall cooling infrastructure is sufficient to manage the heat generated by the GPU.
• Power Efficiency: The Tesla M40 provides high computational throughput while being power-efficient. It uses GPU Boost technology to dynamically adjust performance based on workload, optimizing energy consumption while maintaining maximum performance when needed.
• Advanced Features:
  • CUDA and OpenCL Support: Offers full compatibility with CUDA, OpenCL, and other NVIDIA programming models, providing flexibility in development and deployment.
  • Error-Correcting Code (ECC): Ensures data integrity for long-running, mission-critical applications, protecting against data corruption during intensive computations.
  • GPU Direct Technology: Allows direct communication between GPUs and other devices, enabling higher bandwidth and lower latency for data transfer, especially in multi-GPU configurations.

Use Cases:

• Deep Learning & AI Model Training: The Tesla M40 is designed specifically to accelerate the training of deep neural networks (DNNs) and other AI applications, enabling faster results for researchers and data scientists.
• High-Performance Computing (HPC): With its powerful computational capabilities, the Tesla M40 is well-suited for HPC applications, including scientific simulations, financial modeling, and large-scale data analysis.
• Machine Learning & Data Analytics: It is ideal for accelerating machine learning algorithms and big data processing, especially in fields like natural language processing, image recognition, and predictive analytics.

Specifications:

• GPU Architecture: Maxwell
• CUDA Cores: 3,072
• Memory: 12GB GDDR5
• Memory Bandwidth: 288 GB/s
• Single Precision (FP32): 7 TFLOPS
• Double Precision (FP64): 224 GFLOPS
• Form Factor: PCIe 3.0 x16
• Cooling: Passive
• Power Consumption: 250W
• ECC Memory: Yes
• GPU Direct: Yes

Conclusion:

The NVIDIA Tesla M40 12GB (900-2G600-001) provides a robust, high-performance solution for organizations that need massive computational power for AI and machine learning workloads. With its 12GB of GDDR5 memory, large number of CUDA cores, and passive cooling design, the Tesla M40 is an excellent choice for demanding applications in data centers and research environments focused on accelerating deep learning, simulation, and high-performance computing tasks.