Nvidia has increased compute power faster than Moore’s law for the past 8 years. Nvidia plans to launch new chips every 6 months for several years. The pace of their innovation is increasing. The Nvidia Blackwell GPU is not just a chip it is an entire system weighing 1.5 tons. A 32000 GPU data center …
There are reports that China has a new superchip MT-3000 processor designed by the National University of Defense Technology (NUDT). The MT-3000 has general-purpose CPU cores, control cores, and matrix accelerator cores. NUDT’s MT-3000 processor features a multi-zone structure that packs 16 general-purpose CPU cores with 96 control cores and 1,536 accelerator cores. The MT-3000 …
Dan Fleisch briefly explains some vector and tensor concepts from A Student’s Guide to Vectors and Tensors. In the field of machine learning, tensors are used as representations for many applications, such as images or videos. They form the basis for TensorFlow’s machine learning framework. It is useful to understand Tensors, Tensorflow, and TPU (Tensor …
Dr James Knight and Prof Thomas Nowotny from the University of Sussex’s School of Engineering and Informatics used the latest Graphical Processing Units (GPUs) to give a single desktop PC the capacity to simulate brain models of almost unlimited size. This work will make large brain simulations accessible to researchers with tiny budgets. The research …
The Nvidia A100 chip was presented at the Hot Chips conference. Sander Olson provided Nextbigfuture with the presentation. The Nvidia A100 is a third-generation Tensor Core chip. It is faster and more efficient than competing chips like the prior Nvidia chip (V100), the Google Tensor processing unut (TPU) version 3, and Huawei Ascend. The Nvidia …
Using HPL-AI, a new approach to benchmarking AI supercomputers, Oak Ridge National Laboratory’s Summit supercomputer system reached 445 petaflops or nearly half an exaflops. The system’s official Linpack performance is 148 petaflops announced in the new TOP500 list of the world’s fastest supercomputers. Summit, the world’s fastest supercomputer, NVIDIA ran HPL-AI computations in less than …
Advanced Micro Devices launched its first 7-nm CPU and GPU at the lucrative target of the data center. The working chips deliver comparable performance to Intel’s 14-nm Xeon and Nvidia’s 12-nm Volta. AMD is back from the near dead. AMD is competitive with Nvidia and Intel will get a significant market share. A single 7-nm …
The World of supercomputers is shifting rapidly with most of the compute power coming from GPU acceleration. In June 2018, 56 percent of the additional flops were a result of NVIDIA Tesla GPUs running in new supercomputers. Most of the added supercomputing power came from three top systems new to the list: Summit, Sierra, and …
NVIDIA launched NVIDIA DGX-2, the first single server capable of delivering two petaflops of computational power.A DGX-2 has the deep learning processing power of 300 servers occupying 15 racks of datacenter space, while being 60x smaller and 18x more power efficient. NVIDIA DGX-2 is a server rack with 16 Volta GPUs and Dual Xeon Platinums …
NVIDIA TITAN V is the most powerful graphics card ever created for the PC, driven by the world’s most advanced architecture—NVIDIA Volta. NVIDIA’s supercomputing GPU architecture is now here for your PC, and fueling breakthroughs in every industry. * Titan V is priced at $2,999 * specialized for AI and scientific simulation processing * 110 …
Together with EPFL scientists, our IBM Research team has developed a scheme for training big data sets quickly. It can process a 30 Gigabyte training dataset in less than one minute using a single graphics processing unit (GPU) — a 10x speedup over existing methods for limited memory training. The results, which efficiently utilize the …