Machine learning (ML) and artificial intelligence (AI) are no longer limited to high-end servers or cloud platforms. Thanks to new developments in integrated circuits (IC) and software technology, it’s possible to implement ML algorithms and deep learning neural networks on tiny controllers and microcomputers. And these embedded devices installed at edges must no longer rely…

NVIDIA announced an extensive collaboration with Tata Group to deliver AI computing infrastructure and platforms for developing AI solutions. The collaboration will bring state-of-the-art AI capabilities within reach to thousands of organizations, businesses, AI researchers, and hundreds of startups in India. The companies will work together to build an AI supercomputer powered by the next-generation NVIDIA GH200…

Artificial intelligence (AI) at the edge will impact a number of industry verticals including robotics, smart cities, healthcare, industrial, retail, energy, agriculture, etc. AI for these applications involves a mix of processing in the cloud and at the edge. To this end, Infineon Technologies announced that it’s bringing its AIROC Wi-Fi and Bluetooth connectivity solutions…

Broadcom Inc., a global provider in PCIe, SerDes, and switching technology, announced its broad PCIe Gen 5.0 portfolio is setting the foundation for the ecosystem to build high-performance, next-generation servers. Broadcom PCIe Gen 5.0 SerDes, switches, and custom silicon products — which are now available to OEMs, ODMs, and cloud providers — are actively being…

A pair of new demos running GeForce RTX technologies on the Arm platform recently unveiled by NVIDIA show how advanced graphics can be extended to a broader, more power-efficient set of devices. The two demos, shown at the recent Game Developers Conference, included Wolfenstein: Youngblood from Bethesda Softworks and MachineGames, as well as The Bistro from the Open…

NVIDIA recently launched NVIDIA DRIVE AGX Orin, a highly developed software-defined platform that serves all requirements of autonomous robots and vehicles. The new platform extracts its power from new system-on-chip (SoC), known as Orin, and is made up of 17 billion transistors. The product is based on four years of R&D Investment of NVIDIA. Orin…

NVIDIA, Activision, and Bungie, creators of the popular Destiny game franchise have announced to enter into a partnership to bring the Destiny franchise to PC for the first time. This time the much-anticipated action game will be named Destiny 2. NVIDIA has lent its gaming and PC development expertise to help bring the PC platform’s advanced gaming features to the new game.  Besides, it also aims to maximize the performance benefits of the NVIDIA GeForce GTX 10-series GPUs for PC gamers. Talking about the Destiny 2, it’s a first-person game and a predecessor of the award-winning, internationally acclaimed Destiny. It features an immersive, compelling story and a fresh beginning for all the players, from the casual to competitive stages.

NVIDIA has officially launched the world’s most powerful GPU computing architecture named Volta. It has been created to drive the next wave of advancement in AI and high-performance computing. Besides, the company has also unveiled its first Volta-based processor- the NVIDIA Tesla V100 data center GPU.It delivers extraordinary speed and scalability for AI inferencing and training along with accelerated HPC and graphics workloads. Volta is NVIDIA’s 7th generation GPU architecture and is built with 21 billion transistors. Its performance is equivalent to 100 CPUs for deep learning.

In order to pave the way for the creation of AI cities, NVIDIA has officially unveiled Metropolis edge-to-cloud platform for Video Analytics. Metropolis aims at making cities safer and smarter by applying deep learning to video streams for applications like public safety, traffic management, and resource optimization. More than 50 NVIDIA AI city partner companies are already providing products and applications that use deep learning on GPUs. Many of these will be showcased this week at the GPU Technology Conference. 

AI-Powered NVIDIA Jetson TX2, a credit-card sized IoT platform, has been recently unveiled by the company. It delivers Artificial Intelligence computing at the edge, thereby paving the path for powerfully intelligent factory robots, commercial drones and smart cameras for AI cities.  Coming to the performance, it is two times more powerful as its predecessor. In other words, it runs at more than twice the efficiency of the previous version and draws less than 7.5 Watts of power. This, in turn, enables the platform to run larger and deeper neural network on edge devices.