The Best Nvidia K5200 Price of 2022 – Reviewed and Top Rated
After hours researching and comparing all models on the market, we find out the Best Nvidia K5200 Price of 2022. Check our ranking below.
2,038 Reviews Scanned
- Nvidia Quadro K5200 Kepler
- 2xDisplayport v1.2 2xDVI
- PCI Express 3.0 x16, Dual Slot, Full Height
- 8GB 256-Bit GDDR5 Memory
- 150W TGP, 6 Pin Power Connector, No Rear Bracket
- PNY VCQK5200-PB Quadro K5200 8GB DDR5 DVI/DisplayPort ST Video Card
- Nvidia Quadro K2000 Kepler
- 2xDisplayport v1.2 1xDVI
- PCI Express 2.0 x16, Single Slot, Full Height
- 2GB 128-bit GDDR5 Memory
- 51W TGP
- FEATURES BENEFITS Quad-Display Support; Support for any combination of four connected displays
- 4 GB GDDR3 GPU Memory with Ultra-Fast Memory Bandwidth
- 30-bit color support (10-bit per each red, green, blue channel)
- Support for Dual DisplayPort 1.2 resolutions (such as 3840x2160 4k @ 60 Hz)
- Dual-link DVI-I/DVI-D outputs (up to 2560 x1600 @ 60 Hz and 1920x1200 @ 120 Hz) Internal 400 MHz DAC DVI-I output (analog display up to 2048x1536 @ 85 Hz)
- Nvidia Quadro K4200 Kepler
- 2xDisplayport v1.2 1xDVI
- PCI Express 2.0 x16, Single Slot, Full Height
- 4GB 256-bit GDDR5 Memory
- 108W TGP, 6 Pin Power Connector, No Rear Bracket
- NVIDIA Ampere Architecture-based CUDA Cores - Double-speed processing for single-precision floating point (FP32) operations and improved power efficiency provide significant performance improvements for graphics and simulation workflows, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE), on the desktop.
- Second-Generation RT Cores - With up to 2X the throughput over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities, second-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.
- Third-Generation Tensor Cores - New Tensor Float 32 (TF32) precision provides up to 5X the training throughput over the previous generation to accelerate AI and data science model training without requiring any code changes. Hardware support for structural sparsity doubles the throughput for inferencing. Tensor Cores also bring AI to graphics with capabilities like DLSS, AI denoising, and enhanced editing for select applications.
- Third-Generation NVIDIA NVLink - Increased GPU-to-GPU interconnect bandwidth provides a single scalable memory to accelerate graphics and compute workloads and tackle larger datasets.
- 48 Gigabytes (GB) of GPU Memory - Ultra-fast GDDR6 memory, scalable up to 96 GB with NVLink, gives data scientists, engineers, and creative professionals the large memory necessary to work with massive datasets and workloads like data science and simulation.
Last update on 2024-01-11 / Affiliate links / Images from Amazon Product Advertising API
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