Reading Time: 3 minutes 政府、企業、アカデミアの量子アルゴリズム研究者は、かつてないほど巨大な量子システム上で新しい量子アルゴリズムを開発し、ベンチマークするのに興味を持っています。用途としては、創薬、サイバーセキュリティ、高エネルギー物理学、リスク モデリングなどが挙げられます。 しかし、これらのシステムはまだ小さく、品質を改善する必要があり、容量も限られています。そのため、量子回路シミュレータ上でアプリケーションやアルゴリズムを開発することが一般的です。 NVIDIA cuQuantum は、量子回路シミュレーションを GPU で簡単に高速化して拡張できるようにするソフトウェア開発キット (SDK) です。ステート ベクトルを計算するための当たり前なツールであり、ユーザーは現在の量子コンピューターでできるよりも深く (より多くのゲート)、より広く (より多くの量

GPUDirect Storage: A Direct Path Between Storage and GPU Memory As AI and HPC datasets continue to increase in size, the time spent loading data for a given application begins to place a strain on the total application’s performance. When considering end-to-end application performance, fast GPUs are increasingly starved by slow I/O. I/O, the process of loading data from storage to GPUs for process

CUDA Zone CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance

Just Announced—Run Jupyter Notebooks on Google Cloud with NGC's New One Click Deploy Feature. Read More AI and HPC Containers Develop and deploy applications faster with GPU-optimized containers from the NVIDIA NGC™ catalog. What Are Containers? A container is a portable unit of software that combines the application and all its dependencies into a single package that’s agnostic to the underlying

NVIDIA Jetson TX2 Delivers Twice the Intelligence to the Edge Figure 1: NVIDIA Jetson TX2 embedded system-on-module with Thermal Transfer Plate (TTP). Today at an AI meetup in San Francisco, NVIDIA launched Jetson TX2 and the JetPack 3.0 AI SDK. Jetson is the world’s leading low-power embedded platform, enabling server-class AI compute performance for edge devices everywhere. Jetson TX2 features a

Get the latest SDK and tools designed for developers creating professional graphics, advanced rendering, video processing, material design, and 3D printing. We are excited to share a comprehensive update of our innovative and industry leading SDKs and tools for the DesignWorks GTC 2017 release. New SDK releases Video Codec SDK 8 GVDB Voxels 1.0 OptiX 4.1 Iray SDK 2017 MDL SDK 2017 Occlusion Cullin

The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi