Why workstation graphics card

We discuss what you need to know before buying a workstation video card. Wallace CHu. Buying Guides 3 Comments. Subscribe you company.

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Uses an iPhone ironically. Join the discussion 3 Comments. Roy Taylor says:. February 19, at am. Wallace Chu says:. What's your take? Cancel reply. NVS Quadro NVS Tesla K20c. Tesla K Tesla M Quadro Quadro D. Quadro for Mac. Quadro GP FirePro RGA. FirePro S FirePro S x2. FirePro W FirePro V FirePro VP.

FireMV FireGL V FirePro AMD Radeon Pro. Radeon Pro Duo. Radeon Pro VII. Radeon Pro W Radeon Pro WX Millennium P PCI Express 2. PCI Express 3. PCI Express 4. PCI Express x1. PCI Express x PCI Express x8. PNY Technologies, Inc. Sapphire Tech. HP Publishing. Like New. Very Good. There is a big reason for the heftier asking fee — they are beefed up to massive proportions in terms of specifications. Even the processing capabilities for workstation-class GPUs were pushed to do the impossible as engineers managed to squeeze in thousands of cores onto the circuitry die.

With both, these specially optimised cards can punch out 12TeraFlops easily — perfect for deep data processing and analysing decision-making outcomes. These systems are also suitable for geological, high-tech, and medical lab research. That is why gaming notebooks and desktops, as powerful as they are, are not considered for anything that requires true precision.

There is certainly no doubt what sort of graphics platform works best when it comes to professional needs. This is even more so for organisations that work with a lot of Big Data, Cloud, artificial intelligence, robotics, innovation-focused, and render massive graphical works.

Smaller operations, like boutique agencies, outsourcing digital content studios, and even specialised security firms that work with analytical data — all these are prime examples of operations that need high-performance systems that deliver full on precision.

Of course, being reliably robust and hardy, scalable to some degree, and can be reconfigured for a variety of operations are also critical features that agile businesses are looking for.

Most next-gen functions that are used on workstation-based GPUs eventually trickle down to consumer-grade hardware. This is the main benefit of using similar processing architecture — sharing advancements in innovation that are, initially, exclusive only to commercial operations.

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