With NVIDIA DGX BasePOD Certification Complete, Company Sets Its Sights on NVIDIA DGX SuperPOD Certification

WekaIO , the data platform software provider for AI, announced that it has received certification for an NVIDIA DGX BasePOD reference architecture built on NVIDIA DGX H100 systems and the WEKA Data Platform. This rack-dense architecture delivers massive data storage throughput starting at 600GB/s and 22M IOPs in 8 rack units to optimize the DGX H100 systems.

The WEKA Data Platform provides the critical data infrastructure foundation required to support next-generation, performance-intensive workloads like generative AI model training and inference at scale. Its advanced, software-based architecture transforms stagnant data storage silos into dynamic data pipelines that help to more efficiently fuel data-starved GPUs and seamlessly power AI workloads on-premises, in the cloud, at the edge, or in hybrid and multicloud environments.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

With its modular design, the DGX BasePOD offers the flexibility needed to scale resources according to evolving computational needs, providing cost-efficiency and streamlined management. Integrating NVIDIA H100 Tensor Core GPUs and NVIDIA InfiniBand networking technologies delivers enhanced performance for diverse AI workloads, fostering faster model training and deployment. The DGX BasePOD is designed to focus on agility, efficiency, and performance, making it a robust solution for organizations that want to optimize their data infrastructure investments while pushing the boundaries of AI innovation.

The WEKA with NVIDIA DGX BasePOD reference architecture solution seamlessly and efficiently delivers the performance enterprises customers need to accelerate AI adoption and achieve faster time to insights, discoveries, and outcomes.

Recommended AI News: BrainChip Takes Vegas to the Edge with ‘All Things AI’ at CES 2024

Key benefits of the new WEKA with NVIDIA DGX BasePOD reference architecture include:

• Extreme Performance for the Most Demanding AI Workloads: Delivers 10x the bandwidth and 6x more IOPs than the previous WEKA with NVIDIA DGX BasePOD configuration based on NVIDIA DGX A100 systems.
• Best-of-Breed Compute: NVIDIA DGX systems feature powerful Intel® Xeon® processors, NVIDIA ConnectX-7 NICs, NVIDIA Quantum-2 InfiniBand switches, and NVIDIA Spectrum Ethernet switches.
• Optimal Efficiency: The rack-dense configuration delivers the performance needed to meet the needs of up to 16 DGX H100 systems in a space- and energy-efficient footprint — and is expected to support larger clusters of 32 or more DGX H100 systems.
• Excellent Linear Scaling: Based on NVIDIA’s validation testing results for various demanding AI/ML workloads, WEKA’s integration with the architecture of the DGX BasePOD helps organizations start small and then quickly and independently scale up compute and storage resources from a single DGX to multi-rack configurations with predictable performance to flexibly meet workload requirements.
• Turnkey Choice and Flexibility: Enterprise customers can use WEKA Data Platform software with DGX BasePOD, powered by the latest DGX systems, to drive technologies and gain a time-to-market advantage.

WEKA’s DGX BasePOD certification advances its journey to DGX SuperPOD certification. WEKA was among the first companies to implement, qualify, and use NVIDIA GPUDirect Storage (GDS), was one of the first DGX BasePOD-certified data stores in 2021, and assisted NVIDIA with scaling its networking architectures to expand its enterprise customer footprint.

“WEKA is proud to have achieved this important milestone with NVIDIA. With our DGX BasePOD certification completed, our DGX SuperPOD certification is now in progress,” said Nilesh Patel, chief product officer at WEKA. “With that will come an exciting new deployment option for WEKA Data Platform customers. Watch this space.”

Recommended AI News: Elliptic Labs Announcing Launch on HONOR X50 GT Smartphone

“Enterprises everywhere are embracing AI to enrich customer experiences and drive better  business outcomes,” said Tony Paikeday, senior director of AI systems at NVIDIA. “With the NVIDIA DGX BasePOD certification, WEKA can help enterprises streamline their AI initiatives with optimized, high-performance infrastructure solutions that deliver data-fueled insights sooner.”

The post WEKA Achieves NVIDIA DGX BasePOD Certification appeared first on AiThority.

Company aims to protect valuable data assets with quantum-secure encryption

Qrypt, the pioneering quantum-secure encryption company, announced its acceptance into NVIDIA Inception, a program that nurtures startups revolutionizing industries with technological advancements. By utilizing quantum-secure encryption technology, Qrypt is committed to ensuring the integrity and confidentiality of data as it moves across increasingly complex AI-driven environments.

With the rise of generative AI and large language models (LLMs), the need to secure increasingly valuable data in-transit has become paramount, especially as these technologies rely on multiple data repositories. This urgency is heightened by the looming quantum threat, notably the “harvest now, decrypt later” (HNDL) risk, where adversaries store encrypted data today to decrypt it in the future with more advanced quantum computers. Joining NVIDIA Inception will help Qrypt fortify data security against both immediate and future threats, with quantum-secure encryption technology to safeguard data from HNDL vulnerabilities.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

“Quantum computing will eventually break all the classical encryption technologies used in data transport, and potentially most of the post-quantum cryptography algorithms under review for standardization, putting every data asset at risk of being compromised,” said Denis Mandich, chief technology officer and co-founder, Qrypt. “Qrypt’s quantum entropy sources generate perfect keys simultaneously at multiple endpoints to enable end-to-end encryption without key distribution, eliminating the risk of HNDL. By leveraging the benefits provided through NVIDIA Inception, we can secure the AI industry and its valuable data assets against the quantum threat today.”

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

NVIDIA Inception helps startups during critical stages of product development, prototyping and deployment. Every Inception member gets a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, preferred pricing on NVIDIA hardware and software, and technological assistance, which provides startups with the fundamental tools to help them grow. By leveraging the resources made available through the program, Qrypt will also support its fast-paced growth and product innovation to become a critical security partner for the AI industry.

Recommended AI News: Anviz to Launch AI-Boosted Security Products at Intersec Expo, Dubai

[To share your insights with us, please write to sghosh@martechseries.com]

The post Qrypt Joins NVIDIA Inception appeared first on AiThority.

CES—NVIDIA announced GeForce RTX™ SUPER desktop GPUs for supercharged generative AI performance, new AI laptops from every top manufacturer, and new NVIDIA RTX™-accelerated AI software and tools for both developers and consumers.

Building on decades of PC leadership, with over 100 million of its RTX GPUs driving the AI PC era, NVIDIA is now offering these tools to enhance PC experiences with generative AI: NVIDIA TensorRT™ acceleration of the popular Stable Diffusion XL model for text-to-image workflows, NVIDIA RTX Remix with generative AI texture tools, NVIDIA ACE microservices and more games that use DLSS 3 technology with Frame Generation.

AI Workbench, a unified, easy-to-use toolkit for AI developers, will be available in beta later this month. In addition, NVIDIA TensorRT-LLM (TRT-LLM), an open-source library that accelerates and optimizes inference performance of the latest large language models (LLMs), now supports more pre-optimized models for PCs. Accelerated by TRT-LLM, Chat with RTX, an NVIDIA tech demo also releasing this month, allows AI enthusiasts to interact with their notes, documents and other content.

“Generative AI is the single most significant platform transition in computing history and will transform every industry, including gaming,” said Jensen Huang, founder and CEO of NVIDIA. “With over 100 million RTX AI PCs and workstations, NVIDIA is a massive installed base for developers and gamers to enjoy the magic of generative AI.”

Running generative AI locally on a PC is critical for privacy, latency and cost-sensitive applications. It requires a large installed base of AI-ready systems, as well as the right developer tools to tune and optimize AI models for the PC platform.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

To meet these needs, NVIDIA is delivering innovations across its full technology stack, driving new experiences and building on the 500+ AI-enabled PC applications and games already accelerated by NVIDIA RTX technology.

RTX AI PCs and Workstations
NVIDIA RTX GPUs — capable of running a broad range of applications at the highest performance — unlock the full potential of generative AI on PCs. Tensor Cores in these GPUs dramatically speed AI performance across the most demanding applications for work and play.

The new GeForce RTX 40 SUPER Series graphics cards, also announced at CES, include the GeForce RTX 4080 SUPER, 4070 Ti SUPER and 4070 SUPER for top AI performance. The GeForce RTX 4080 SUPER generates AI video 1.5x faster — and images 1.7x faster — than the GeForce RTX 3080 Ti GPU. The Tensor Cores in SUPER GPUs deliver up to 836 trillion operations per second, bringing transformative AI capabilities to gaming, creating and everyday productivity.

Leading manufacturers — including Acer, ASUS, Dell, HP, Lenovo, MSI, Razer and Samsung — are releasing a new wave of RTX AI laptops, bringing a full set of generative AI capabilities to users right out of the box. The new systems, which deliver a performance increase ranging from 20x-60x compared with using neural processing units, will start shipping this month.

Mobile workstations with RTX GPUs can run NVIDIA AI Enterprise software, including TensorRT and NVIDIA RAPIDS™ for simplified, secure generative AI and data science development. A three-year license for NVIDIA AI Enterprise is included with every NVIDIA A800 40GB Active GPU, providing an ideal workstation development platform for AI and data science.

Recommended AI News: Anviz to Launch AI-Boosted Security Products at Intersec Expo, Dubai

New PC Developer Tools for Building AI Models
To help developers quickly create, test and customize pretrained generative AI models and LLMs using PC-class performance and memory footprint, NVIDIA recently announced NVIDIA AI Workbench.

AI Workbench, which will be available in beta later this month, offers streamlined access to popular repositories like Hugging Face, GitHub and NVIDIA NGC™, along with a simplified user interface that enables developers to easily reproduce, collaborate on and migrate projects.

Projects can be scaled out to virtually anywhere — whether the data center, a public cloud or NVIDIA DGX™ Cloud — and then brought back to local RTX systems on a PC or workstation for inference and light customization.

In collaboration with HP, NVIDIA is also simplifying AI model development by integrating NVIDIA AI Foundation Models and Endpoints, which include RTX-accelerated AI models and software development kits, into theHP AI Studio, a centralized platform for data science. This will allow users to easily search, import and deploy optimized models across PCs and the cloud.

After building AI models for PC use cases, developers can optimize them using NVIDIA TensorRT to take full advantage of RTX GPUs’ Tensor Cores.

Recommended AI News: GiantLeap Capital Invests in Articul8, Intel’s Enterprise Generative AI Spin-off

NVIDIA recently extended TensorRT to text-based applications with TensorRT-LLM for Windows, an open-source library for accelerating LLMs. The latest update to TensorRT-LLM, available now, adds Phi-2 to the growing list of pre-optimized models for PC, which run up to 5x faster compared to other inference backends.

RTX-Accelerated Generative AI Powers New PC Experiences
At CES, NVIDIA and its developer partners are releasing new generative AI-powered applications and services for PCs, including:

• NVIDIA RTX Remix, a platform for creating stunning RTX remasters of classic games. Releasing in beta later this month, it delivers generative AI tools that can transform basic textures from classic games into modern, 4K-resolution, physically based rendering materials.
• NVIDIA ACE microservices, including generative AI-powered speech and animation models, which enable developers to add intelligent, dynamic digital avatars to games.
• TensorRT acceleration for Stable Diffusion XL (SDXL) Turbo and latent consistency models, two of the most popular Stable Diffusion acceleration methods. TensorRT improves performance for both by up to 60% compared with the previous fastest implementation. An updated version of the Stable Diffusion WebUI TensorRT extension is also now available, including acceleration for SDXL, SDXL Turbo, LCM – Low-Rank Adaptation (LoRA) and improved LoRA support.
• NVIDIA DLSS 3 with Frame Generation, which uses AI to increase frame rates up to 4x compared with native rendering, will be featured in a dozen of the 14 new RTX games announced, including Horizon Forbidden West, Pax Dei and Dragon’s Dogma 2.
• Chat with RTX, an NVIDIA tech demo available later this month, allows AI enthusiasts to easily connect PC LLMs to their own data using a popular technique known as retrieval-augmented generation (RAG). The demo, accelerated by TensorRT-LLM, enables users to quickly interact with their notes, documents and other content. It will also be available as an open-source reference project, so developers can easily implement the same capabilities in their own applications.

[To share your insights with us, please write to sghosh@martechseries.com]

The post NVIDIA Brings Generative AI to Millions, With Tensor Core GPUs, LLMs, Tools for RTX PCs and Workstations appeared first on AiThority.

NVIDIA announced that Li Auto, a pioneer in extended-range electric vehicles (EVs), has selected the NVIDIA DRIVE Thor™ centralized car computer to power its next-generation fleets.

NVIDIA also announced that EV makers GWM (Great Wall Motor), ZEEKR and Xiaomi have adopted the NVIDIA DRIVE Orin​​™ platform to power their intelligent automated-driving systems.

“The transportation industry is embracing centralized compute for highly automated and autonomous driving,” said Xinzhou Wu, vice president of automotive at NVIDIA. “The AI car computer of choice for today’s intelligent fleets is NVIDIA DRIVE Orin, with automakers increasingly looking to the advanced capabilities and AI performance of its successor, NVIDIA DRIVE Thor, for their future vehicle roadmaps.”

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

DRIVE Thor is a next-generation centralized car computer that integrates a wide range of intelligent functions into a single AI compute platform, delivering autonomous driving and parking capabilities, driver and passenger monitoring, and AI cockpit functionality.

Li Auto currently uses two DRIVE Orin processors to power its assisted-driving system, AD Max, for its L-series models. The processors, which provide a combined 508 trillion operations per second (TOPS), enable real-time fusing and processing of sensor information — powering full-scenario autonomous driving for navigation on advanced driver-assistance systems (ADAS), full-scenario assisted driving for lane change control (LCC), automated parking and automatic emergency braking (AEB) active safety features.

The new AD Max 3.0 upgrade transitions the system to an end-to-end algorithmic architecture dominated by large AI models. It delivers a safer, more comfortable intelligent driving experience using an occupancy network and spatio-temporal trajectory planning and model-predictive control algorithms.

Building the Future of Transportation on DRIVE

GWM, among China’s leading new energy vehicle makers, has announced that it will build its self-developed, high-end intelligent-driving system, the Coffee Pilot, based on the DRIVE Orin centralized computing platform. Coffee Pilot can support parking, high-speed and urban scenes to achieve full-scenario smart navigation and assisted-driving functions without high-precision maps.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

GWM, which collaborated with NVIDIA to develop this intelligent-driving system, will debut its first model with the system in the first half of the year. Advanced intelligent-driving features, such as Urban Navigate on Autopilot and cross-floor Memory Parking, will be first rolled out in GWM’s WEY models.

“LLM-driven AI technology will profoundly enhance future mobility as well as the entire automotive industry,” said a GWM spokesperson. “GWM is committed to working with NVIDIA and other industry-leading players to offer greener, smarter mobility for all.”

ZEEKR, the premium EV subsidiary of Geely, has launched the ZEEKR Luxury Sedan, its fourth model to be powered by NVIDIA DRIVE Orin. It features a new full-stack smart driving system, powered by two DRIVE Orin systems-on-a-chip, to deliver intelligent parking and automated operation on high-speed and urban roads. ZEEKR’s full range of models is offered with two sensor options: Lidar + Vision Fusion and Pure Vision. The Navigation ZEEKR Pilot, a highway navigation feature from ZEEKR’s in-house advanced driving assistant system, will be available for use in major Chinese cities once deliveries begin.

“ZEEKR is proud to work with NVIDIA on innovative, safe autonomous driving capabilities,” said Chen Qi, vice president of ZEEKR. “The new ZEEKR Luxury Sedan’s in-house-developed ADAS system is made possible with the energy-efficient, high-performance NVIDIA DRIVE car computing platform.”

Recommended AI News: GiantLeap Capital Invests in Articul8, Intel’s Enterprise Generative AI Spin-off

Xiaomi EV, the automotive arm of the technology giant, has announced its first EV, the SU7 sedan, which is built on a dual DRIVE Orin configuration for highway driving functions. Built using Xiaomi’s leading large language model for perception and decision-making, the sedan will be able to seamlessly navigate through Chinese cities, regardless of locale, administrative divisions within the country or type of road. It will come in two versions: one with a driving range of up to 415 miles on a single charge and another with a range of up to 497 miles. The SU7 will be officially launched in the first half of 2024.

[To share your insights with us, please write to sghosh@martechseries.com]

The post Wave of EV Makers Choose NVIDIA DRIVE for Automated Driving appeared first on AiThority.

Launched at the Consumer Electronics Show (CES) and powered by NVIDIA Picasso, the new offering gives businesses an affordable option to explore commercially safe generative AI in their marketing and advertising visuals.

Getty Images, a preeminent global visual content creator and marketplace, announced the launch of Generative AI by iStock, an affordable and commercially safe generative AI tool to help users and businesses easily turn their creative visions into powerful content.

Powered by NVIDIA Picasso, a foundry for custom generative AI models for visual design, and trained exclusively using high‑quality content and proprietary data from Getty Images’ creative libraries, Generative AI by iStock has been engineered to guard against generations of known products, people, places or other copyrighted elements. Not only does this mean businesses can have confidence in the content they are generating, but any licensed visual that a customer generates comes with iStock’s standard $10K USD legal coverage that customers have with iStock’s broader image and video libraries.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

The tool works seamlessly with iStock’s library of authentic and commercial-ready imagery, including millions of exclusive photos, illustrations and videos. The addition of Generative AI by iStock gives customers multiple ways to get the right visuals for any need, including print marketing, social posts, online promotions and more.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

“Using AI, creatives gain the ability to produce anything they can imagine. Our own VisualGPS research shows that 42% of SMBs and SMEs are already using AI-generated content to support their marketing efforts. Our main goal with Generative AI by iStock is to provide customers with an easy and affordable option to use AI in their creative process, without fear that something that is legally protected has snuck into the dataset and could end up in their work,” said Grant Farhall, iStock’s Chief Product Officer. “Our AI Generator is easy to use, produces relevant and high-quality visuals, and is backed by our legal protection so customers can now safely use this new service, in combination with our amazing pre-shot library, to elevate their work.”

Customers will be able to download and license any generated visual, with legal indemnification at no extra cost, giving them a low cost of entry to explore commercially safe generative AI for their marketing efforts.

Recommended AI News: GiantLeap Capital Invests in Articul8, Intel’s Enterprise Generative AI Spin-off

iStock is also enabling advanced generative AI features through APIs for easy integration into creative applications and plugins, allowing for the modification of images.

[To share your insights with us, please write to sghosh@martechseries.com]

The post Getty Images Launches Generative AI by iStock for Small Businesses, Designers and Marketers appeared first on AiThority.

CES—NVIDIA announced the GeForce RTX™ 40 SUPER Series family of GPUs—including the GeForce RTX 4080 SUPER, GeForce RTX 4070 Ti SUPER and GeForce RTX 4070 SUPER — which supercharge the latest games and form the core of AI-powered PCs.

This latest iteration of NVIDIA Ada Lovelace architecture-based GPUs delivers up to 52 shader TFLOPS, 121 RT TFLOPS and 836 AI TOPS to supercharge gaming and creating — and provide the power to develop new entertainment worlds and experiences. The GeForce RTX 4070 SUPER starts from $599.

PC gamers demand the very best in visual quality, and AI-powered NVIDIA Deep Learning Super Sampling (DLSS) Super Resolution, Frame Generation and Ray Reconstruction combine with ray tracing to offer stunning worlds — just a click away in titles such as Diablo IV, Pax Dei and Horizon Forbidden West. With DLSS, seven out of eight pixels can be AI-generated, accelerating full ray tracing by up to 4x with better image quality.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

“For everyone from gaming enthusiasts to creative professionals, GeForce RTX SUPER GPUs are simply awesome upgrades,” said Matt Wuebbling, vice president of global GeForce marketing at NVIDIA. “GeForce RTX SUPER cards support over 500 RTX games and applications and will have users prepared for the wave of generative AI apps coming to PC.”

An AI-Powered Leap in PC Computing
The new GeForce RTX SUPER GPUs are the ultimate way to experience AI on PCs. Specialized AI Tensor Cores deliver up to 836 AI TOPS to deliver transformative capabilities for AI in gaming, creating and everyday productivity. The rich software stack built on top of RTX GPUs further accelerates AI.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

NVIDIA TensorRT™ is software for high-performance deep learning inference, which includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications. TensorRT-LLM for Windows is an open-source library that accelerates inference performance for the latest large language models. In AI workloads, the GeForce RTX 4080 SUPER generates video over 1.5x faster and images over 1.7x faster than the RTX 3080 Ti.

For games, AI-powered DLSS provides greater in-game immersion. Meanwhile, generative AI applications like Adobe Photoshop take advantage of Tensor Cores to speed productivity and keep creative workflows moving. And for productivity, NVIDIA Broadcast can remove background noise and provide seamless virtual backgrounds.

With GeForce RTX SUPER GPUs, users can unlock the full potential of AI on Windows PCs.

A 4K Monster: The GeForce RTX 4080 SUPER

The GeForce RTX 4080 SUPER powers fully ray-traced games in 4K resolution. At 1.4x faster than the GeForce RTX 3080 Ti without DLSS Frame Generation, the RTX 4080 SUPER delivers blistering performance with traditional rasterization. With 836 AI TOPS, DLSS Frame Generation delivers an extra performance boost, making the RTX 4080 SUPER twice as fast as the RTX 3080 Ti. The RTX 4080 SUPER features more cores and faster memory for a performance edge. It will be available starting Jan. 31 from $999.

Precision Gaming: The GeForce RTX 4070 Ti SUPER

The RTX 4070 Ti SUPER is the ideal GPU for maxing out games at super-high frame rates at 1440p, and up to 4K. Compared to the RTX 4070 Ti, it has more cores, an increased frame buffer to 16GB, and a 256-bit memory bus, providing a significant memory bandwidth increase to 672 GB/sec. It is 1.6x faster than a RTX 3070 Ti and 2.5x with DLSS 3. The GeForce RTX 4070 Ti SUPER will be available starting Jan. 24 at $799.

Perfectly Balanced: The GeForce RTX 4070 SUPER

The RTX 4070 SUPER arrives with 20% more cores than the RTX 4070, making it faster than an RTX 3090 at a fraction of the power. With DLSS 3, its lead stretches to 1.5x faster. It will be available starting Jan. 17 at $599.

Recommended AI News: GiantLeap Capital Invests in Articul8, Intel’s Enterprise Generative AI Spin-off

Where to Buy

For the GeForce RTX 4080 SUPER and 4070 SUPER, an NVIDIA Founders Edition Design will be available direct from NVIDIA.com and select retailers. Custom boards, including stock-clocked and factory-overclocked models for all GeForce RTX 40 SUPER Series GPUs, will be available from top add-in card providers such as ASUS, Colorful, Gainward, GALAX, GIGABYTE, INNO3D, KFA2, MSI, Palit, PNY and ZOTAC.

[To share your insights with us, please write to sghosh@martechseries.com]

The post GeForce RTX 40 SUPER Series: New Heroes Debut in the Gaming and Creating Universe With AI as Their Superpower appeared first on AiThority.

Leopard Imaging Inc. (Leopard Imaging), a global leader in intelligent embedded camera design and manufacturing, is going to showcase a Stereo Camera Hawk and a High Speed Camera Owl from Segway Robotics’ Nova Carter robot, powered by the NVIDIA AGX Orin-based AI Box, at CES 2024.

Recommended AI News: OPENLANE Launches Visual Boost AI to Pinpoint Vehicle Damage

Segway Robotics’ Nova Carter is an agile robot designed to proficiently execute tasks including surround perception, 3D mapping, and autonomous navigation. With Leopard Imaging’s Stereo Camera Hawk and High Speed Camera Owl, Nova Carter brings cutting-edge imaging solutions to diverse applications ranging from robotics and autonomous vehicles to healthcare and industrial automation.

At the heart of Leopard Imaging’s showcase is an Autonomous Mobile Robot (AMR) intricately designed to embody the synergy between the Hawk 3D Stereo Camera, Owl High Speed Camera, and Leopard’s NVIDIA Jetson AGX Orin-powered AI Box. This dynamic trio forms the backbone of a cutting-edge robotic system, bringing together state-of-the-art hardware and artificial intelligence to redefine autonomous mobility.

The Hawk 3D Stereo Camera takes center stage as a key component of Leopard Imaging’s innovation. With its depth-sensing capabilities, the Hawk empowers the robot with unparalleled object detection and obstacle avoidance capabilities. This translates to enhanced safety and efficiency, making it a game-changer in real-world applications such as material-handling, retail analytics, healthcare, and beyond.

A distinctive feature of Leopard Imaging’s showcase is the robot with a 360-degree surround view based on Owl cameras. This comprehensive visual perspective, facilitated by 3D cameras strategically placed on the robot, ensures optimal awareness of its surroundings. The result is a robot that can navigate through complex environments with precision and confidence.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

Leopard Imaging’s AI Box, powered by the NVIDIA Jetson AGX Orin system on module, serves as the brain of the operation, housing a sophisticated artificial intelligence system. This system processes the wealth of data captured by the Hawk 3D Stereo Camera in real time, enabling intelligent decision-making and adaptive responses. The NVIDIA Jetson AGX Orin delivers powerful AI computing capabilities to help the AMR navigate through dynamic environments seamlessly. Leopard is also an Elite member of the NVIDIA Partner Network.

Recommended AI News: Anviz to Launch AI-Boosted Security Products at Intersec Expo, Dubai

[To share your insights with us, please write to sghosh@martechseries.com]

The post Leopard Imaging showcases NVIDIA Isaac Nova Orin-Based Cameras at CES 2024. appeared first on AiThority.

As the leading provider of cloud-based robot operations (RobOps) software, InOrbit, Inc. proudly announces its collaboration with NVIDIA to blend reality and simulation in robot deployments. This work takes the recently launched InOrbit missions to a new level, enabling end users such as logistics providers to define missions once, execute them in both simulated and real environments, and analyze the results through a single pane of glass, bridging the gap between cutting-edge AI-powered robotics technology and real-world applications at scale.

InOrbit leverages the NVIDIA Isaac Sim™ extensible robotics simulator powered by NVIDIA Omniverse™ to model complex environments and robot behaviors that closely match the real world. Created in collaboration with Ekumen, a leading provider of advanced software development services with deep expertise in simulations, this first-of-its-kind demonstration available at inorbit.ai/nvidiaisaacsim shows a virtual Robot Space that closely matches the company’s real Robot Space located in the heart of Silicon Valley. Multiple simulated robots matching their real-world counterparts can be seen carrying out the same exact missions. Whether it’s picking items at a fulfillment center or transporting boxes in a warehouse, the simulation provides a realistic representation of the physical world.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

Third-party logistics companies, manufacturers and retailers can derive actionable insights and drive continuous improvements in their production workflows, using the best RobOps tools and data consistently across physical and digital environments. This enables modeling changes to workflows, orchestrating robots from different vendors, and reducing the costly impact of traffic jams or collisions.

Recommended AI News: EdgeCore Secures $1.9B for Phoenix Data Center Growth

Partners in the InOrbit Connect™ ecosystem, like OTTO Motors by Rockwell Automation™, can show a simulation of their robots in a virtual environment that mirrors their customer’s facility. While simulations may not exactly match the real-world operation of the robot, they allow end users to create a mission, run it in simulation as an approximation of the real robot, and then deploy that mission to real robots in production. By using a single pane of glass to bridge the Sim2Real (simulation to reality) gap, customers can anticipate problems before they occur and continuously improve their operations.

“Simulations already play an important role in the development of robots, such as for use in reinforcement learning,” said Ryan Gariepy, CTO of Clearpath Robotics and OTTO Motors by Rockwell Automation. “As part of our efforts to advance interoperability, we are glad to collaborate with InOrbit to show how robots from different vendors can be simulated to help end users visualize their robot operations in real time before they deploy in production.”

Recommended AI News: ISG Launches Suite of Applied AI Advisory Services

“Our collaboration with Ekumen and NVIDIA shows for the first time how simulated and real robots from multiple vendors can be orchestrated through a single platform, allowing operators to switch seamlessly between them,” said Florian Pestoni, cofounder and CEO at InOrbit. “This opens up massive opportunities for using data, AI, immersive technology and robotics together. Welcome to the Roboverse.”

InOrbit is a member of the NVIDIA Inception program, which is designed to help startups evolve through cutting-edge technology, with access to the latest technical resources.

[To share your insights with us, please write to sghosh@martechseries.com]

The post InOrbit Brings RobOps to Advanced Robot Simulations Powered by NVIDIA appeared first on AiThority.

Cipia, an AI computer vision in-cabin automotive solutions provider, will present at CES 2024 Cabin Sense, which includes both driver and occupancy monitoring, and is expected to go into serial production during 2024.

Cipia will present its embedded product code optimized for the NVIDIA DRIVE Orin system-on-a-chip (SoC), leveraging the automotive-grade processor’s powerful compute performance to support in-cabin sensing capabilities, alongside additional safety and convenience functions.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

Recommended AI News: Learning Pool Bolsters Compliance Offering with New Adaptive Content Trainings

Cipia’s Cabin Sense solution is flexible and can accommodate a variety of automotive-grade compute platforms, and is designed for integration on standalone ECUs, as well as ADAS and IVI domain controllers. NVIDIA DRIVE is the first platform on which Cabin Sense will run commercially.

Tal Krzypow, VP Product & Strategy at Cipia, said, “We’re excited to bring the latest technology to the in-cabin sensing market, evolving beyond driver monitoring into the next phase: full cabin monitoring. Combining both driver and occupant monitoring on the same SoC and sensor contributes to a lower cost for the system as a whole and promotes wider and faster adoption in the market. Tapping the proven NVIDIA DRIVE compute platform is a natural choice to introduce these capabilities.”

“The automotive industry is increasingly moving toward the use of generative AI and large language models in vehicles,” said Rishi Dhall, VP of Automotive at NVIDIA. “Cipa’s in-cabin sensing software running on NVIDIA’s robust accelerated compute hardware offers automakers and tier 1 manufacturers a system for creating smart, safe and delightful experiences inside the car.”

Recommended AI News: Intellicheck Introduces Identity Platform Advancements Enhancing the Digital User Experience

The NVIDIA DRIVE Orin SoC delivers 254 trillion operations per second and is a central computer for intelligent vehicles. In addition to powering in-cabin applications, it can also support highly automated and autonomous-driving capabilities, scaling from level 2++ to level 5.

[To share your insights with us, please write to sghosh@martechseries.com]

The post Cabin Sense, Driver and Occupancy Monitoring Embedded Software Built on NVIDIA, to Debut at CES 2024 appeared first on AiThority.

In the heart of the tech revolution, Nvidia shines as a beacon of innovation in 2023, unveiling a host of news stories that redefine the landscape of graphics processing and artificial intelligence. Nvidia, a powerhouse in the world of GPUs and AI computing, kicks off the year 2023 with a series of groundbreaking announcements, signaling its continued dominance in the forefront of cutting-edge technologies.

As the demand for high-performance computing grows, Nvidia’s top 10 news stories for 2023 showcase the company’s relentless pursuit of excellence, from the latest GPU architectures to breakthroughs in AI research. Stepping into the future, Nvidia’s 2023 narrative unfolds with a tale of technological leaps, strategic partnerships, and advancements that solidify its position as a driving force in the realms of gaming, data centers, and artificial intelligence.

From revolutionary graphics cards to breakthroughs in quantum computing, Nvidia’s journey in 2023 is a story of constant innovation, shaping industries and pushing the boundaries of what’s possible in the world of computing.

Top 10 News of Nvidia in 2023

NVIDIA Isaac Sim And AWS

With the upcoming arrival of NVIDIA Isaac Sim and NVIDIA L40S GPUs to Amazon Web Services, programmers will be able to create and launch cloud-based apps for accelerated robotics. Developed on the NVIDIA Omniverse platform for creating and linking OpenUSD applications, Isaac Sim is an extendable simulator for AI-enabled robotics. The L40S GPU is designed to handle the upcoming wave of data center workloads with its advanced AI computing, graphics, and media acceleration capabilities.

Among the AWS early users of the Isaac Sim platform are Theory Studios, Amazon Robotics, and Soft Robotics. Applications of artificial intelligence (AI) in robotics are trained and tested using robotics simulation. Virtual advancements are reaching new heights thanks to simulations powered by synthetic data. Before operation, simulations may be used to check, validate, and optimize robot designs, systems, and algorithms. In addition to minimizing expensive production change orders, it may improve facility designs before construction or modification to achieve optimal efficiency.

NVIDIA Brings Business Intelligence to Chatbots, Copilots and Summarization Tools With Enterprise-Grade Generative AI Microservice

AWS re:Invent NVIDIA announced a generative AI microservice that lets enterprises connect custom large language models to enterprise data to deliver highly accurate responses for their AI applications.

NVIDIA NeMo™ Retriever — a new offering in the NVIDIA NeMo family of frameworks and tools for building, customizing and deploying generative AI models — helps organizations enhance their generative AI applications with enterprise-grade retrieval-augmented generation (RAG) capabilities.

“Generative AI applications with RAG capabilities are the next killer app of the enterprise,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA NeMo Retriever, developers can create customized generative AI chatbots, copilots and summarization tools that can access their business data to transform productivity with accurate and valuable generative AI intelligence.”

Lenovo and NVIDIA Announce Hybrid AI Solutions to Help Enterprises Quickly Adopt GenAI

Lenovo and NVIDIA announced an expansion of their partnership with new, hybrid solutions and engineering collaboration that supports their shared vision to bring the power of generative AI to every enterprise

In close collaboration with NVIDIA, Lenovo will deliver fully integrated systems that bring AI-powered computing to everywhere data is created, from the edge to the cloud, helping businesses easily deploy tailored generative AI applications to drive innovation and transformation across any industry.

“With generative AI driving the greatest technology transformation of our time, enterprises are seeking solutions that give them the flexibility to develop and deploy workloads across their workstations, data centers and clouds,” said Bob Pette, Vice President of Enterprise Platforms at NVIDIA. “NVIDIA and Lenovo are providing a comprehensive portfolio of hybrid AI systems that businesses can rely on to power generative AI from virtually anywhere.”

NVIDIA Redefines Workstations to Power New Era of AI, Design, Industrial Metaverse

The post Top 10 News of Nvidia in 2023 appeared first on AiThority.