Nvidia Announces Tegra K1 with PC-Class Gaming Power
Nvidia today announced the Tegra K1 mobile processor. The K1 makes use of the Kepler GPU architecture to bring powerful gaming capabilities to its mobile CPU line. The K1 will be available in two forms; a 32-bit quad-core 4-plus-1 configuration, and a custom-designed 64-bit Super Core CPU configuration. The quad-core version is based on the ARM Cortex 15 design. Both will include the 192-core Kepler GPU for polyon-pushing power. According to Nvidia, the Kepler GPU can match the performance of dedicated gaming devices, such as the Microsoft Xbox One and the Sony PlayStation 4. Despite the power performance, the K1 is also efficient and will draw less power than current generation chips. Nvidia said the 32-bit version will reach consumer devices during the first half of 2014, while the 64-bit version will reach consumer devices during the second half of 2014.
ARM's Cortex A76 Core Relies On 7nm Process for Speed and Efficiency Gains
May 31, 2018
ARM today announced a new series of processors cores for mobile devices that it says will increase performance without impacting battery life. The new Cortex A76 processor core is built using a 7nm process that ARM says delivers a 35% boost in speed and a 40% improvement in efficiency when compared to its previous 10nm core.
Qualcomm's Snapdragon 450 Platform Jumps to 14nm Process
Jun 27, 2017
Qualcomm today announced the Snapdragon 450 Platform, a new entry in its mid-tier range of processors for high-volume devices. The Snapdragon 450 is the first 400 series chip to make use of Qualcomm's 14nm process, which provides it with noticeable performance and efficiency gains over earlier chips.
ARM's Cortex A75 and A55 Processor Cores Target AI
May 30, 2017
ARM recently announced the Cortex-A75 and Cortex-A55 processor cores, the first to support its DynamIQ technology. ARM first revealed DynamIQ earlier this year, an advancement of its big.LITTLE technology that allows paired sets of high-power and low-power processor cores to tackle specific tasks based on the computing requirements at hand.
Arm Debuts Project Trillium with Machine Learning and Object Recognition
Feb 13, 2018
Arm today announced Project Trillium, a suite of products meant to bring machine learning to mobile devices. While Project Trillium will first target smartphones, Arm says it will eventually scale to both less and more powerful devices as needed.
I call BS!!!!
"According to Nvidia, the Kepler GPU can match the performance of dedicated gaming devices, such as the Microsoft Xbox One and the Sony PlayStation 4. Despite the power performance"