The NVIDIA GeForce GTX Titan X has officially been relegated to the past. It's time to make way for NVIDIA's newest flagship, the GeForce GTX 1080. But first, here are some pictures to tide you over till the 27 May launch date.
Monday blues got you down? Chase them away with some retail therapy! Here's what caught our eye this week.
Taking place right now in Austin, Texas of USA, we're reporting live from NVIDIA's Editor's Day 2016 where NVIDIA is announcing the next-gen graphics cards for gaming fans waiting to tap on to far more powerful beasts and take 3D/VR gaming to new heights!
The NVIDIA GeForce GTX 980 Ti is, by far, the best single GPU graphics card for PC gaming at the highest settings possible. However, all good things must come to an end as the graphics chip will see its last days soon. Before its final curtain call, we put two extreme GTX 980 Ti cards from ASUS and MSI to their final test.
Even though NVIDIA introduced G-Sync in 2013, a significant price premium is still attached to G-Sync capable monitors. Unsurprisingly, adoption has also been patchy, despite the benefits. Read on to find out how G-Sync works and if you should upgrade your monitor.
The AMD Radeon Pro Duo packs two Fiji GPUs and a whopping 16 TFLOPS of performance, more than double that of the NVIDIA GeForce GTX Titan X. We finally have the card in our lab for testing, but first, here's a closer look at this monster.
Without fail, the importance of graphics technology and the power of visualization is best exemplified at every NVIDIA GPU Technology Conference. This year, Jen-Hsun Huang, CEO of NVIDIA, highlighted very important breakthroughs to speed-up the deep learning process which will push new frontiers such as hosting the world's first autonomous car race and much more. Read on.
You would never believe how large the Pascal based NVIDIA Tesla P100 GPU is! Check it out along with more photos of the Tesla module and the insides of the server rack that will contain them, courtesy of QuantaPlex.
Is cognitive computing the same as artificial intelligence? And what has deep learning with NVIDIA's GPUs got to do with all of this? In the second keynote at NVIDIA GTC 2016, Rob High, IBM Fellow and CTO of IBM Watson, walked us through some insightful aspects how data overload is urgently creating the need for such cognitive systems to better make sense of things.
Ever wondered what the graphics visualization giant's headquarters look like inside? We managed to get access to visit NVIDIA's campus and HQ located at Santa Clara, California. So join us for a brief walk-through.