NVIDIA has been very busy developing revolutionary technologies and is the talk of the tech world today. For starters, the company just introduced two new GPU accelerators, the Tesla M40 and Tesla M4. These are intended artificial intelligence and highly complex computing, Venture Beat noted.
The M4 is made for "scale-out architectures" while the M40 delivers impressive performance. The M4 has 1,024 Nvidia Cuda cores, 4GB of GDDR5 memory, 88GB/second of bandwidth, uses 50-75 watts, and a has a peak of 2.2 teraflops.
The M40, on the other hand, has 3,072 Cuda cores, 12GB of GDDR5 memory, 288 GB/second of bandwidth, power usage of 250 watts, and a peak of 7 teraflops.
The GPU is now the standard for a certain type of AI called deep learning. Jen-Hsun Huang, co-founder and CEO of NVIDIA, said, "Machine learning is unquestionably one of the most important developments in computing today, on the scale of the PC, the internet and cloud computing. Industries ranging from consumer cloud services, automotive and health care are being revolutionized as we speak.
"Machine learning is the grand computational challenge of our generation. We created the Tesla hyperscale accelerator line to give machine learning a 10X boost. The time and cost savings to data centers will be significant."
Another NVIDIA creation is the Jetson TX1. It is the first embedded computer that was specifically designed for deep neural networks. Basically, it is used smart machines that can learn. Market Watch said of the credit-card sized module"
"The NVIDIA Jetson TX1 module addresses the challenge of creating a new wave of millions of smart devices -- drones that don't just fly by remote control, but navigate their way through a forest for search and rescue; compact security surveillance systems that don't just scan crowds, but identify suspicious activity; and robots that don't just perform tasks, but tailor them to individuals' habits -- by incorporating capabilities such as machine learning, computer vision, navigation and more."
