2-Nvidia Tesla M40 PG600 12GB - MUST READ DESCRIPTION

Description: *BOTH CARDS* : AS - IS Scratches and Blemishes .Scratches shown in pictures - These cards were purchased from Ebay sellers with good reputation - CARDS NOT TESTED - DID NOT HAVE SYSTEM TO TEST WITH !!Will list cards for price due to NOT TESTED !!BOTH CARDS WERE PURCHASED FROM REPUTABLE Ebay sellers .. NVIDIA Tesla M40 (PG600) 12GB Overview2 Cards - 900-2G600-0000-001 Nvidia Tesla M40 PG600 12GB The NVIDIA Tesla M40 is a high-performance GPU designed primarily for deep learning, machine learning, and other compute-intensive workloads. It is part of NVIDIA's Tesla lineup, which is specialized for professional and data center use, rather than gaming. Here's a summary of the key features and specifications:Key Specifications:GPU Architecture: MaxwellCUDA Cores: 3072Memory: 12GB GDDR5Memory Bandwidth: 288.4 GB/sBase Clock: 646 MHzBoost Clock: 948 MHzTDP (Thermal Design Power): 250 wattsForm Factor: PCIe 3.0 x16Maximum Power Consumption: 250WDisplay Outputs: None (Tesla GPUs are designed for computation and not for display outputs)Target Audience: Primarily used for AI, deep learning, scientific simulations, and high-performance computing (HPC) tasks.Performance and Usage:The Tesla M40 is designed for professional data center and compute applications, not for gaming or consumer use.Deep Learning: The Tesla M40 is optimized for deep learning and AI workloads, capable of accelerating training tasks for models like neural networks.Data Centers: It is used in large-scale computing environments for parallel computation tasks.Key Features:Maxwell Architecture: Provides significant improvements in performance and efficiency over previous generations.High Throughput: With 12GB of GDDR5 memory and a high memory bandwidth of 288.4 GB/s, the Tesla M40 can handle large datasets required for AI and machine learning tasks.CUDA Support: Supports NVIDIA's CUDA framework, which is essential for running highly parallel compute tasks.ECC Memory: The Tesla M40 supports Error Correcting Code (ECC) memory, which helps maintain data integrity during intensive computations. The NVIDIA Tesla M40 GPU with model number 900-2G600-0000-001 is a high-performance accelerator card designed for compute-heavy tasks such as deep learning, artificial intelligence (AI), scientific simulations, and high-performance computing (HPC). It is part of NVIDIA's Tesla product line, which is focused on data center and professional use rather than consumer or gaming applications. Here’s a more detailed breakdown of the NVIDIA Tesla M40 (PG600) GPU with 12GB of GDDR5 memory:Key Specifications:Model Number: 900-2G600-0000-001GPU Architecture: MaxwellCUDA Cores: 3072GPU Memory: 12GB GDDR5Memory Bandwidth: 288.4 GB/sBase Clock: 646 MHzBoost Clock: 948 MHzMemory Interface: 384-bitThermal Design Power (TDP): 250 wattsPower Connectors: 1 x 8-pin PCIe (power)Form Factor: PCIe 3.0 x16Maximum Power Consumption: 250WECC (Error Correcting Code): Supported for memory reliability in compute tasksDisplay Outputs: None (Tesla GPUs are for computational tasks, not for graphical display output)Performance Features:Maxwell Architecture: The Tesla M40 is built on Maxwell architecture, offering significant performance improvements in terms of power efficiency, performance per watt, and compute power over previous architectures like Kepler.Deep Learning Optimization: With its large amount of VRAM (12GB GDDR5), the Tesla M40 is particularly suitable for deep learning and AI applications. It can accelerate tasks such as training neural networks and model inference.Parallel Computing: The Tesla M40 supports CUDA and OpenCL frameworks for parallel computation, which is essential for running complex simulations, data analytics, and scientific workloads.ECC Memory: The Tesla M40 comes with Error Correcting Code (ECC) memory, which ensures data integrity during large-scale calculations — crucial for applications like AI training that deal with vast amounts of data.No Display Outputs: Unlike consumer-grade GPUs, the Tesla M40 doesn't have video output ports (HDMI/DisplayPort) as it is not intended for visual tasks but rather for backend computing operations in data centers or servers.

Price: 75 USD

Location: Spring, Texas

End Time: 2025-01-22T03:31:27.000Z

Shipping Cost: 14.99 USD