As Snapdragon 830 is 10nm
We are quite surprised that few people concentrated on one of the major downsides of the Apple iPhone 7 and 7 Plus – its clunky quad core A10 Chip. Far from being cutting edge, Apple is using 16nm and not the 10nm manufacturing process as many expected. Most of its competitors will soon announce their 10nm SoC.
Faster version of 16nm Helio P20
Just as it did with Helio X20, Mediatek is about to release a faster than the base original of the P20 called the P25.
Catching up in the high end
MediaTek has changed its strategy for the high end market to make more competitive chips. The company plans to launch its first USA products this year as it has the Cat 6. capable modems but with 10nm announcement it wants to get closer to the big names in phone SoCs including Qualcomm, Samsung and Apple.
Changing car design
Nvidia showed us an awesome demo of a completely rendered Nissan car with 100s of thousand parts in VR that meant we could see inside the car. It was possible to see millions of details inside the car, even before it is manufactured. This could well change the way cars are designed in the future.
Professional Quadro VR
We had a chance to see the VR deployed in a professional scenerio with a few demos that were compiling structural building data and showed us a simulations of buildings via HTC Vive glasses.
Pressure is on in the Pro market
AMD's RTG Radeon Technology Group has managed to keep the info about Dual Vega 10 card secret for ages, but Fudzilla can confirm that the professional market team is working on the card now.
It will leave connectivity to others
Jensen sparked our imagination by mentioning that a self-driving car will have a SoC or a small computer inside a car that will essentially talk with the cloud, and share the information with the system.
7 Plus too
Fudzilla went to the GPU Technology conference in Amsterdam and our travels took us to the Apple shop in The Hague. Of course we wanted to take a look at the latest non 3.5 inch iPhone 7 phones, and imagine our surprise to learn that all of them were based on Intel stuff.
At least five are deployed in Europe
We've had confirmation that at least five super expensive, 170 TeraFlops servers with eight P100 cards, each having a 16GB HBM 2, two Xeon processors, 512 GB RAM memory have been reaching its customers.
Rent deep learning
Scan in the UK plans to offer the Nvidia DGX-1 deep learning super computer to buy or even to rent. This is a unique approach as many deep learning startups will get the chance to try the system before they buy it. And there are many universities which would love to get their hands on 170 teraFlops of deep learning performance.