The Best nvidia quadro fx 5800 of 2022 – Reviewed and Top Rated
After hours researching and comparing all models on the market, we find out the Best nvidia quadro fx 5800 of 2022. Check our ranking below.
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- 4GB GDDR3 GPU memory with ultra fast memory bandwidth
- NVIDIA CUDA parallel computing processor
- Highest color fidelity
- DisplayPort digital display connector
- Dual dual-link DVI-I display connectors
- CUDA Cores: 3072 / NVIDIA Tensor Cores: 384 / NVIDIA RT Cores: 48
- GPU Memory: 16 GB GDDR6 with ECC / Bandwidth: 448 GB/Sec
- System Interface: PCI Express 3.0 x16
- Four DisplayPort 1.4 Connectors
- 32 CUDA parallel processor cores
- 512MB GDDR3 Frame Buffer
- 128-bit memory interface
- DisplayPort (2) and DVI-I DL outputs (1) - any two active
- Certified on all leading 3D design and DCC applications
- Chipset: NVIDIA GeForce RTX 3090
- Video Memory: 24GB GDDR6X
- Memory Interface: 384-bit
- Output: DisplayPort x 3 (v1.4a) / HDMI 2.1 x 1
- Nvidia India 3 Year *
- CUDA Cores: 4608 / NVIDIA Tensor Cores: 576 / NVIDIA RT Cores: 72
- GPU Memory: 24 GB GDDR6 with ECC / Bandwidth: 624 GB/Sec
- System Interface: PCI Express 3.0 x16
- Four DisplayPort 1.4 Connectors
- 3D Stereo Support with Stereo Connector
- 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.
- 1280 CUDA Cores deliver powerful graphics and compute performance
- 5 GB of fast GDDR5x GPU memory holds large models or scenes
- Ideal for 3D Design and FHD video editing, and medical imaging systems (ultrasound)
- Drives up to four displays at 5K resolution with 30-bit color
- Compatible with NVIDIA CUDA, NVIDIA nView and Mosaic
- Interface: PCIe x16
- Connectors: (2) DisplayPort, (1) DVI-D, (1) 3-pin Mini-DIN
- Memory: 1.5GB GDDR3
- SLI: Yes
- Model Numbers: 900-50607-0100-001, 600-50607-0501-250
- Chipset: NVIDIA Quadro P2000
- Video Memory: 5GB GDDR5
- Memory interface: 160 Bit
- Max. Resolution: 5120 x 2880, support 4x Display monitors
- Connectors: 4x Display Ports. Support up to four 5K monitors at 60Hz, or dual 8K displays per card. The P2000 supports HDR color for 4K at 60Hz for 10/12b HEVC decode and up to 4K at 60Hz for 10b HEVC encode
Last update on 2023-04-11 / Affiliate links / Images from Amazon Product Advertising API
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