Tag: CUDA

Making 8K movie editing a reality

8K movie is the next big thing and an announcement by RED and NVIDIA is making editing such movies a reality. The partners have introduced the NVIDIA CUDA-accelerated REDCODE RAW decode SDK that gives software developers and studios a powerful new way to work with 8K video.

NVIDIA invests in Chinese auto startup

NVIDIA is among a group of investors led by Chinese social media company Sina investing more than US$20 million in Chinese startup TuSimple.

Formed in 2015, TuSimple has more than 100 employees in R&D centres in Beijing and San Diego developing technology for autonomous long-distance freight delivery. It uses NVIDIA GPUs, NVIDIA DRIVE PX 2Jetson TX2CUDATensorRT, and cuDNN to develop its autonomous driving solution.

In June, the company successfully completed a 200-mile Level 4 test drive from San Diego to Yuma, Arizona, using NVIDIA GPUs and cameras as the primary sensor.

NVIDIA invests in Deep Instinct

NVIDIA is investing in Deep Instinct, an Israeli-based startup that uses deep learning to thwart cyber attacks.

Deep Instinct uses a GPU-based neural network and CUDA to achieve 99 percent detection rates, compared with about 80 percent detection from conventional cyber security software. Its software can automatically detect and defeat the most advanced cyber attacks.

“Deep Instinct is an emerging leader in applying GPU-powered AI through deep learning to address cybersecurity, a field ripe for disruption as enterprise customers migrate away from traditional solutions. We’re excited to work together with Deep Instinct to advance this important field,” said Jeff Herbst, Vice President of Business Development of NVIDIA.

NVIDIA software update doubles performance for deep learning training

NVIDIANVIDIA has updated its GPU-accelerated deep learning software that will double deep learning training performance.

With the new software, data scientists and researchers can supercharge their deep learning projects and product development work by creating more accurate neural networks through faster model training and more sophisticated model design.

The NVIDIA DIGITS Deep Learning CPU Training System version 2 (DIGITS 2) and NVIDIA CUDA Deep Neural Network library version 3 (cuDNN 3) provide significant performance enhancements and new capabilities.

NVIDIA unveils revolutionary Tegra K1 super chip for mobile platform

NVIDIA Tegra K1NVIDIA unveiled at CES the Tegra K1 mobile processor, a 192-core super chip featuring the same NVIDIA Kepler architecture that powers the NVIDIA GeForce GTX 780 Ti. For the first time, next-generation PC gaming will now be available on mobile platforms.

The Tegra K1 processor sets new mobile standards by supporting the latest PC-class gaming technologies, enabling it to run sophisticated gaming engines like Epic Games’ Unreal Engine 4. It delivers advanced computation capabilities to speed the development of applications for computer vision and speech recognition. And its extraordinary efficiency delivers higher performance than any other mobile GPU at the same power level.

 

“Over the past two decades, NVIDIA invented the GPU and has developed more graphics technologies than any other company,” said Jen-Hsun Huang, co-founder and CEO, NVIDIA. “With Tegra K1, we’re bringing that heritage to mobile. It bridges the gap for developers, who can now build next-gen games and apps that will run on any device.”

IBM and NVIDIA to supercharge data centre applications

NVIDIAIBM logoIBM and NVIDIA plan to collaborate on GPU-accelerated versions of IBM’s wide portfolio of enterprise software applications — taking GPU accelerator technology for the first time into the heart of enterprise-scale data centres.

The collaboration aims to enable IBM customers to more rapidly process, secure and analyse massive volumes of streaming data.

“Harnessing GPU technology to IBM’s enterprise software platforms will bring advanced, in-memory processing to a wider variety of new application areas,” said Sean Poulley, Vice President of Databases and Data Warehousing at IBM. “We are looking at a new generation of higher-performance solutions to help data center customers overcome their most challenging computing problems.”

New NVIDIA Tesla K40 speeds up supercomputing and big data analytics

NVIDIA Tesla K40The NVIDIA Tesla K40 GPU accelerator is arguably the world’s highest performance accelerator ever built. It is capable of delivering extreme performance to a wide range of scientific, engineering, high performance computing (HPC), and enterprise applications.

Providing double the memory and up to 40 percent higher performance than its predecessor, the Tesla K20X GPU accelerator, and 10 times higher performance than the fastest CPU, the Tesla K40 GPU is the world’s first and highest-performance accelerator optimised for big data analytics and large-scale scientific workloads.

Featuring intelligent NVIDIA GPU Boost technology, which converts power headroom into a user-controlled performance boost, the Tesla K40 GPU accelerator enables users to unlock the untapped performance of a broad range of applications.

GPU computing is more than just about gaming

Simon talking about the possibilities with GPU computing.
Simon talking about the possibilities with GPU computing.

Visual computing is no longer just about gaming but has now permeated everyday lives, Dr Simon See, Director and Chief Solution Architect of NVIDIA, told a gathering of 450 start-ups, investors and R&D providers in digital media.

He pointed out that GPUs now help power the 3D web, location-based visualisation applications, creative content creation, computer vision, user interfaces, image recognition, HD video processing, and virtual worlds.

In his talk, Simon also discussed the vibrant ecosystem of developers that have adopted the CUDA GPU computing platform, how early stage companies can leverage the GPU for visual and other computing applications, and what global programmes NVIDIA offers to nurture and inspire innovation and business opportunities throughout these ecosystems.

Richmanclub Studios relies on NVIDIA GPUs to produce upcoming film

The Boy and his Robot
The Boy and his Robot

By Edward Lim, Managing Consultant, CIZA Concept

Founded by Rich Ho in Singapore in 2004, Richmanclub Studios is a motion picture production company. Its first official production was the short film, “The Alien Invasion” in 2004, which has been shown around the world. The film was the first Singaporean short film to be nominated for the “Chinese Oscar”, The Golden Horse Awards 2004 for Best International Digital Short Film.

The studio has also won the Special Technical Achievement Award (Hive Film Festival), Audience Favorite (Substation First Take) and the Asia-Pacific wide Gold Award-Digital Art (ACMSIGGRAPH ComGraph).

In 2011, Richmanclub Studios launched two additional departments – Richopus Music to offer music production services and IVI VFX to provide post-production services.

NVIDIA PhysX supports Microsoft Xbox One

Microsoft Xbox OneNVIDIA has announced its support for the Microsoft Xbox One game console with its popular NVIDIA PhysX and NVIDIA APEX software development kits (SDKs).

Together, PhysX and APEX provide solutions for collision detection and simulation of rigid bodies, clothing, fluids, particle systems and more, across a wide range of platforms, including desktop PCs, game consoles, and mobile and handheld devices.

NVIDIA PhysX technology is the world’s most pervasive physics solution for designing real-time, real-world effects into interactive entertainment titles. The PhysX development environment gives developers unprecedented control over the look of their final in-game interactivity.

Nanyang Technological University becomes Southeast Asia’s first CUDA Teaching Center

CUDA Teaching CenterNVIDIA has appointed Nanyang Technological University as the first Southeast Asia CUDA Teaching Center (CTC).

The CUDA Teaching Center Program is designed to support and encourage teaching establishments to include GPU Computing using CUDA C/C++ as part of their course offerings.

Under the program, NVIDIA will donate CUDA enabled GPUs to be installed in teaching lab computers at NTU’s School of Computer Engineering. Students and other members of the university community will have direct access to CUDA enabled systems for hands-on experience of CUDA C/C++ development, debugging and experimentation.

Rhythm & Hues makes skies soar with NVIDIA GPUs in Life of Pi

Global visual effects giant Rhythm & Hues (R&H) recently completed the lion’s share of visual effects shots on the acclaimed new film, “Life of Pi,” leveraging NVIDIA GPUs to maximize throughput and accelerate creative workflows. “Life of Pi,” from Academy Award-winning director Ang Lee, tapped legions of R&H artists at offices in Los Angeles, India, Kuala Lumpur, Vancouver, and Taiwan to create several hundred visual effects shots in stereo 3D that included the Bengal tiger, digitally recreated water and skies, Meerkat Island and myriad additional creatures and effects.

R&H is known for its custom development of proprietary visual effects tools, many of which are written specifically for the GPU. One of those tools, dubbed Rampage, was particularly instrumental in achieving the remarkable skies that set the tone in this tale of an Indian zookeeper’s son named Pi, shipwrecked with a Bengal tiger and adrift in the Pacific Ocean.