Lot of 10x NVIDIA Tesla K40m 12GB GDDR5 Passive CUDA GPU PCI-e Accelerator Card. Lot of 10x NVIDIA Tesla K40m 12GB GDDR5 Passive CUDA GPU PCI-e 3.0 x16 Accelerator Card without Mounting Bracket.Condition: Clean, tested pull - Guaranteed 100% working! NOTE: This not a video card. It does not have any video output. This is GPU accelerator card and it has a passive airflow heatsink which requires a proper cooling solution and adequate airflow for proper operation.
Please note this card does not come with a mounting bracket. The Tesla K40 GPU Accelerator with passive cooling from Nvidia is a GPU with no video outputs designed exclusively for providing acceleration to assist computational intensive tasks such as transcoding video, rendering 3D models, cryptography, and analysis of complex data sets. It features a 745 MHz core which can be boosted (overclocked) by the end user up to 875 MHz, and has 2880 Kepler generation CUDA cores (stream processors) which allow it to perform hundreds of computations simultaneously. To ensure data moves to and from the processors as efficiently as possible, the card features 12 GB of GDDR5 RAM over a 384-bit memory interface. A 750 MHz native memory clock speed gets effectively boosted to 3 GHz thanks to the fact GDDR5 type memory moves data at four words per cycle.
Altogether this yields a memory bandwidth of 288 GB/s. 4.3 TFLOPs Single Precision Performance The card boasts a double precision (64-bit length) benchmark of 1.43 TFLOPs (trillion floating point operations per second), and a single precision (32-bit length) benchmark of 4.3 TFLOPs. Floating point math is commonly found in applications such as 3D modeling as well as certain forms of data analytics. Supports CUDA and Other APIs APIs provide the software interface that exposes applications to the compute power of the GPU for processing-intensive tasks, including transcoding video, cryptography, analysis of complex data sets, rendering 3D environments, CAD modeling, and more. SMX (Streaming Multiprocessor) Redesigned architecture with more cores, delivers up to 3x more performance per watt than the SM technology in previous-generation Nvidia Fermi GPUs.
Dynamic Parallelism Enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the CPU, this greatly simplifies parallel programming. Hyper-Q Allows multiple CPU cores to simultaneously use the CUDA cores on a single Kepler GPU.This dramatically increases GPU utilization while reducing CPU idle times. Multi-Language SDKs For software developers, SDKs are available for OpenACC, CUDA, C, C++ and Fortran. ECC Error Correction Protects the data integrity from interference caused by cosmic background radiation. System Monitory Features Integrates the GPU subsystem with the host system's monitoring and management capabilities, such as IPMI or OEM-proprietary tools. IT staff can now manage the GPU processors in the computing system using widely used cluster/grid management solutions. L1 and L2 Caches Accelerates algorithms such as physics solvers, ray tracing, and sparse matrix multiplication where data addresses are not known beforehand. Tesla GPUBoost End-user can convert power headroom to higher clocks and achieve even greater acceleration for various computationally-intensive workloads on Tesla K40. PCI Express 3.0 x16 Support Provides twice the bandwidth of PCI Express 2.0; for example, an x8 PCI Express 3.0 slot has the same bandwidth as a x16 PCI 2.0 slot. In addition, the card remains backward-compatible with motherboards using earlier generations of PCI Express. Single Precision Performance: 4.29 TFLOPS Double Precision Performance: 1.43 GFLOPS. PCI Express 3.0 x16. 1 x 6-Pin 1 x 8-Pin. 4.4 / 11.1 cm. 10.5 / 26.7 cm. Storage solutions, power and testing equipment. We offer lowest prices on hard to find parts! Asset recovery and recycling services. Open: Mo-Fri 10:00am - 07:00pm CST. At the bottom of the listing there is a "Ask a question" link.
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