Abstract: at present, Tesla is developing a hardware called Hardware3. Compared with the ready-made technology, the design and manufacture of its own AI hardware can bring a higher competitive advantage to Tesla and help...

After all, it has been two years before the NVIDIA new generation GeForce video card has more and more signals, and the rumours are also "a little bit of a glamorous eye". Last week, the GV102/GV104 core was added to the update log of the hardware tool HWiNFO64, which was inferred according to the naming rule, corresponding to the new development card of the Volta large / medium core.

Wave Computing, the Silicon Valley innovation company of the United States, specializes in the development of machine learning chips, which can be expected to shake NVIDIA's leading position in the field of machine learning chips in accordance with the location and use of the data. The company was founded in 2009 and has raised $more than 100 million.

NVIDIA appears to be pushing ahead with the new GeForce graphics card, which is rumoured to be named GTX 11 series.

After the collapse of bitcoin, the share prices of chip companies that once relied on the "big profits" of the mine still rose fiercely.

Artificial intelligence (AI) has begun to show its application potential in various vertical applications, and the trend of moving towards the edge nodes is becoming more and more obvious. For the past more than 10 years, the GPU operation has been vigorously pushed forward, and it is imperative to push the edge operations in the supercomputer, efficient computing, AI and other areas of excellence, but the company will be very strategically focused on some applications.

Nvidia announcement first quarter earnings, revenue 3 billion 210 million US $3 billion 210 million annual increase 65.6%, gross profit rate 64.5%, revenue and profit are better than expected, in addition to AI and competition maintenance upsurge, with a number of new games launched, GTX 1070 and GTX 1070 have a good performance, estimated 2018 performance is still sustainable 20% year growth.

According to foreign media reports, artificial intelligence (AI) is one of the most popular areas today. Over the past three years, the global investment in artificial intelligence has exceeded $60 billion, and artificial intelligence start-ups more than 1700.

TSMC is currently holding the twenty-fourth Annual Technical Symposium in Santa Clara, which has just released a technology Wafer-on-Wafer (WoW, stacked wafer) that can bring revolutionary changes to the graphics card. As the name suggests, WoW works in a vertical stack, rather than placing them on a circuit board, just as the 3D NAND flash is stacked in a modern solid-state drive. This means that Nvidia and AMD GPU can improve their performance without increasing their physical size or reducing the manufacturing process.

The flaw lies in the recovery mode of the Nvidia Tegra X1 chip. Because the BootRom program error causes the hacker to execute arbitrary program in the recovery mode, in other words, the device can not be repaired after the factory is out of the factory, but the hacker must actually access the device to exploit the loophole.