Support for OpenUSD and Integration of Ansys AVxcelerate Sensors within NVIDIA DRIVE Sim, powered by NVIDIA Omniverse, improves development and validation of AV perception systems

Ansys announced that Ansys AVxcelerate Sensors will be accessible within NVIDIA DRIVE Sim, a scenario-based AV simulator powered by NVIDIA Omniverse, a platform for developing Universal Scene Description (OpenUSD) applications for industrial digitalization. The integration will provide users access to high-fidelity sensor simulation outputs generated with Ansys AVxcelerate Sensors for the training and validation of perception ADAS/AV systems.

Ensuring AV safety and reliability is among the most significant challenges engineers face today. Sensor suites and software must be extensively tested and validated in real-world driving scenarios — including critical edge cases — to safely navigate roadways. The scale of this challenge is too large for physical on-road testing alone, which would require an estimated billions of miles. The future of AVs depends on highly realistic, scalable simulations to test and validate AV sensor and software performance in a controlled virtual environment.

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The combined strengths of NVIDIA and Ansys narrow the gap between reality and simulation. Ansys AVxcelerate Sensors will augment NVIDIA DRIVE Sim’s high-fidelity, scalable 3D environments for scenario generation with Ansys’ predictively accurate physics solvers for camera, lidar, and radar sensors. By harnessing the power of this integrated solution, NVIDIA DRIVE Sim users with an AVxcelerate Sensors license will be able to develop, train, test, and validate the performance of AV perception systems while saving time and cost. The platform harnesses NVIDIA’s high-performance GPU capabilities and AI, powering rapid prototyping and efficient algorithm refinement of AVs.

“Integrating Ansys AVxcelerate Sensors simulation with DRIVE Sim offers developers greater flexibility to develop, test, and validate their autonomous vehicle software,” said Zvi Greenstein, vice president of autonomous vehicle infrastructure at NVIDIA.

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An open ecosystem approach is foundational to collaboration. NVIDIA Omniverse enables users to develop OpenUSD-based 3D workflows. OpenUSD’s flexibility and modularity allows developers to not only build scalable simulations but also acts as a data factory for AI model training. Developers can harness Omniverse to build their custom synthetic data generation pipelines and generate annotated data to train the on-board computer vision models. The connection with Ansys AVxcelerate Sensors, built with application programming interfaces (APIs), facilitates a seamless integration of Ansys physics solvers into NVIDIA’s 3D virtual world.

“Perception is crucial for AV systems, and it requires validation through real-world data for the AI to make smart, safe decisions,” said Walt Hearn, senior vice president of worldwide sales and customer excellence at Ansys. “Combining Ansys AVxcelerate Sensors with NVIDIA DRIVE Sim, powered by Omniverse, provides a rich playground for developers to test and validate critical environmental interactions without limitations, paving the way for OEMs to accelerate AV technology development.”

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AI-Powered Computer Vision Meets Deployment Expertise for Retail and QSR Innovation

Centific, a global provider of AI and data services, has announced its partnership with Telaid, a North American technology integrator, to bring transformative AI and computer vision solutions to retail and quick-service restaurant (QSR) environments. Effective immediately, Telaid will add Centific’s Pitaya.AI computer vision platform to the portfolio of solutions Telaid brings to its customers as experts in in-store retail and QSR technology.

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This partnership comes at a time when retail and QSR establishments are struggling to respond to post-COVID challenges to safety, shrink, and inflation. “Pitaya.AI addresses common retail challenges by enabling businesses to leverage new or existing hardware to its fullest potential,” said Jagadish Garimella, Head of Retail and CPG Solutions at Centific. “With Pitaya.AI, even the simplest CCTV or self-checkout cameras become advanced internal audit systems complete with behavioral anomaly detection and real-time alerts.”

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This partnership will serve the whole of Telaid’s North American client base. The focus will be on enhancing the employee experience and improving operational efficiency through innovative technology. Telaid’s expertise in accelerating technology integration and providing boots-on-the-ground, Day 2 services will help to bring the advanced, digital capabilities of Centific’s Pitaya.AI into the physical world—thereby offering a robust solution that both identifies and improves the dynamics of physical spaces in real-time.

Travis Harjula, Director of Enterprise Accounts and Emerging Technologies at Telaid, stated, “This partnership represents a pivotal moment for Telaid as we harness the potential of AI and computer vision to revolutionize the industry. We’re not just accelerating technology integration; we’re laying the groundwork for a future where every technological investment unlocks unprecedented value for our clients and an enhanced experience for their employees.”

At the core of this partnership is a dedication to quality of life (QOL) improvements for retail and QSR workforces. By monitoring inventory levels, identifying potential threats, and providing actionable insights, Pitaya.AI frees up employees to focus on delivering exceptional customer service, fostering a more efficient, more enjoyable, and safer work environment.

The integration of sophisticated AI with existing hardware promises a greater return on investment, as businesses gain the ability to extract more value and utility from their current technology investments. Not only can this result in greater safety for both employees and customers, but it can also lead to cost savings that can be passed on to shoppers.

Looking forward, Telaid and Centific are committed to the ongoing development and enhancement of the Pitaya.AI platform’s AI and computer vision capabilities. Interested parties are invited to join both companies at the upcoming NRF conference to explore the future of this dynamic partnership.

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UVeye, a leading technology company specializing in computer vision and artificial intelligence for the development of automated drive-through inspection systems for vehicles, is pleased to announce its strategic partnership with Hypertec, a global leader in state-of-the-art sustainable technology solutions.

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This collaborative effort will kickstart mass production of UVeye’s innovative systems in response to the growing demand from a diverse range of automotive industry players, including car dealerships, car auctions, and fleets.

Industry giants such as General Motors Co., Volvo Cars, and renowned used car retailer CarMax, are all part of this dynamic landscape. UVeye and Amazon have recently announced a partnership scaling at hundreds of locations for the Amazon Prime last-mile delivery operations in the United States, Canada, Germany, and the United Kingdom.

Production will take place at Hypertec’s facilities located in Plainfield, Indiana, and Montréal, Canada, solidifying the alignment between cutting-edge technology and sustainable innovation.

Aligned with a shared vision of innovation and entrepreneurship, as well as global ambitions, Hypertec and UVeye are perfect partners, working in synergy to manufacture and distribute UVeye’s three main drive-through inspection systems:

Helios – An underbody scanner equipped to detect a wide range of issues, including frame damage, missing parts, fluid leaks, and brake and exhaust system problems.

Artemis – A tire quality inspection system that rapidly identifies tire brand, technical specifications, air pressure, tread depth, sidewall damage, tire mismatches, and alignment issues within seconds.

Atlas and Atlas Lite – UVeye’s 360-degree vehicle-exterior detection system which automatically detects damages such as scratches, dents, and imperfections. It meticulously examines sheet metal and external body components like bumpers, door locks, grilles, and windows. Atlas Lite is used by some of the leading vehicle manufacturers in the world, fleet customers, and dealerships across the USA.

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Amir Hever, UVeye co-founder and CEO, expressed his enthusiasm about the partnership. A joint team of UVeye and Hypertec engineering and technical experts will be formed to ensure seamless installation, servicing, and customer training for the new systems.

“Our drive-through inspection systems have consistently demonstrated exceptional performance, detecting 96 percent of existing vehicle problems within seconds, in contrast to less than 25 percent accuracy for traditional manual checks. The demand for our technology has grown exponentially since its debut in North America at CES 2020 with hundreds of car dealerships, auction houses and fleets eagerly awaiting our increase in production. We are confident that partnering with Hypertec will propel us to the next level,” said Amir Hever.

Simon Ahdoot, President of Hardware Technology Solutions at Hypertec, highlighted the perfect synergy in this partnership of innovators creating value.” As a company committed to engineering excellence and operational prowess, we believe we are the ideal partner for UVeye. Our long standing track record of large-scale manufacturing for innovative technology rollouts aligns perfectly with UVeye’s mission to deploy ground-breaking automotive solutions.”

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NXP’s next-generation single-chip Ultra-Wideband (UWB) solution, Trimension NCJ29D6B, delivers secure and precise real-time localization improvements for secure car access, with enhanced system performance, reduced system cost and higher security compared to previous generations

NXP Semiconductors announced the Trimension NCJ29D6, a fully integrated automotive single-chip Ultra-Wideband (UWB) family combining next-generation secure and precise real-time localization with short-range radar to address multiple use cases with a single system, including secure car access, child presence detection, intrusion alert, gesture recognition and more. Integrated by major automotive OEMs, devices from this family are expected to be on the road in model year 2025 vehicles.

Part of one of the industry’s broadest UWB portfolios, the new family includes the highly integrated NCJ29D6B, the next generation UWB device for secure car access, delivering enhanced ranging performance, reduced system costs, higher security and turn-key software. The family also includes the pin-to-pin compatible NCJ29D6A, the industry’s first automotive device combining both ranging and short-range UWB radar into a single chip with an integrated MCU.

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This enables OEMs to transform a single UWB-based car access system into a fully flexible, multi-purpose platform, enabling multiple use cases with the same hardware and allowing OEMs to eliminate redundant systems and reduce cost, space and weight. For example, OEMs can leverage their secure car access system to also deliver features like child presence detection, in compliance with the U.S. Hot Cars Act and European NCAP roadmap. This helps streamline development and allows OEMs and Tier 1s to add additional features through software updates, helping to reduce the total cost of ownership and accelerating time to market for new features.

“UWB will drive new advancements in the consumer automotive experience, and this is only the beginning of what it will enable,” said Markus Staeblein, Senior Vice President and General Manager Secure Car Access, NXP Semiconductors. “Automotive OEMs and Tier 1s will benefit from a single system that can deliver multiple new software-defined experiences enabled by Trimension NCJ29D6 UWB ICs over time. Building on our expertise and standardization efforts in bodies such as the Car Connectivity Consortium (CCC) and the FiRa Consortium, we are helping UWB become an essential part of the automotive ecosystem.”

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Next Generation Secure Car Access Solution

The new NCJ29D6B enables enhanced secure car access, allowing users to access their car hands-free through a digital key on a UWB-enabled mobile phone. The NCJ29D6B delivers a number of performance enhancements to deliver maximum design flexibility for OEMs and help future-proof secure car access capabilities. Higher RF sensitivity and two simultaneous operating receiver chains support antenna diversity and angle of arrival concepts to detect small changes in distance or direction of movement of other UWB-enabled devices. With a focus on system cost, the NCJ29D6B features increased CPU performance, larger memory size and high levels of integration, including an integrated digital CAN transceiver. This allows the developer to reduce the number of components per anchor to a single chip.

Extending UWB Capabilities with Radar

The pin-to-pin compatible NCJ29D6A extends the locations features of the NCJ29D6B with short-range UWB radar. The first automotive device to combine these features within a single chip with an integrated MCU, the NCJ29D6A is able to sense the environment around it. This allows OEMs to transform a single UWB-based system into a multi-purpose platform, enabling multiple use cases with the same hardware. In addition to secure car access, automotive OEMs can integrate in-cabin sensing for child presence detection and seat belt reminder, kick sensor for automatic trunk opening, as well as various kinds of smart gesture recognition, allowing them to maximize the value of UWB capabilities in automotive applications.

Security by Design

Designed with the expectation that the variety of physical and cyber security attacks on vehicles will increase over time, NXP’s new UWB family anticipates the need for integrated security capabilities. Both devices are designed to exceed the ISO21434 Cyber Security Requirements. In addition, CCC MAC and FiRa MAC offer standard-compatible UWB ranging protocols docking directly to the customer application software, enabling and simplifying AUTOSAR architectures.

Expanding Portfolio

The new Trimension IC family expands NXP’s portfolio of Connected Car Consortium-based smart access solutions, including KW45/47 wireless MCUs for Bluetooth Low Energy, NCx332x automotive NFC frontend, NCJ37x automotive secure element and FS24 family of automotive safety Mini CAN FD SBC.

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fifty-five, a global martech consultancy that empowers brands to unite and fully optimize siloed data across all channels to drive business results, announced that it has joined the Amazon Web Services (AWS) Partner Network (APN). The APN is a global community of AWS Partners that leverage programs, expertise, and resources to build, market, and sell customer offerings.

A network to accelerate business transformation

Leveraging its three-fold expertise – martech data consulting, data engineering and data science – fifty-five supports its clients in their transformation journey by helping them make the most of their data to develop innovative marketing strategies for a more effective customer experience.

As part of this partnership, fifty-five will be able to deploy trusted machine learning and AI solutions to improve its clients’ performance and competitiveness. The agreement also promotes the development and scaling of generative AI applications within enterprises.

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“AWS provides the wide range of cloud services our customers need to put data and innovation at the heart of their projects. We are very proud to have won an award at the recent Gen AI Partners Demo Showdown (“Account Manager/Sales AWS”). It was an opportunity to demonstrate the relevance of Amazon Bedrock applied to Data Marketing Analytics. This award reinforced our desire to deepen our collaboration with the AWS teams to bring to life business-related, high-performance use cases,” commented Jean-François Wassong, Partner and CTO of fifty-five.

AWS solutions at the service of fifty-five customers

fifty-five has already managed several projects for its customers with the help of AWS. In one instance, a global consumer goods group called on fifty-five to deploy a “datamesh,” an architecture enabling the systematic use of a technical platform and a base of ready-to-use data. On this assignment, fifty-five tapped into the large scope of capabilities from its teams, combined with the power of AWS services and integrated tools such as Snowflake, SageMaker, ECS and EC2, in their day-to-day work.

These data processing tools were replicated and scaled for the CPG company’s full portfolio of brands. By building a continuously updated marketing database and leveraging AWS’ pre-configured processes and tools, fifty-five helped its customer unlock greater end-to-end marketing potential, ranging from data collection to transformation, activation, and measurement.

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AWS offers a wide range of cloud services, from storage, computing and database infrastructure to advanced technologies such as analytics, artificial intelligence (especially generative AI), machine learning and the Internet of Things (IoT). By choosing AWS, businesses benefit from the agility, flexibility and security of cloud computing. These services enable them to deploy applications, store data and access IT resources on demand, without having to invest in a costly physical infrastructure.

As an APN member, fifty-five joins a global network of 100,000 partners from more than 150 countries working with AWS to provide innovative solutions, solve technical challenges, win deals, and deliver mutual value to customers.

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

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Companies Partner to Deliver Composable Memory Solution, with Compute Express Link 2.0, to Help Process-Intensive and AI Applications Achieve New Levels of Efficiency, Flexibility and Agility

XConn Technologies (XConn), the innovation leader in next-generation interconnect technology for the future of high-performance computing and AI applications, announced a strategic partnership with Liqid, the global leader in composable disaggregated infrastructure (CDI) solutions, to deliver next-generation composable memory based on the Compute Express Link (CXL) 2.0 protocol. The companies will be featuring a demonstration of the composable memory solution – also including technology from Samsung – this week during SC23, November 12-17 in Denver.

Memory-intensive applications such as AI and genomics research often face memory bottlenecks which can limit innovation and stall application performance. Using composable memory based on the CXL 2.0 protocol, application developers can achieve new levels of efficiency, flexibility and agility. During SC23, XConn and Liqid will showcase a composable memory solution to take processing to the next level.

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Enabling the orchestration of disaggregated devices connected via CXL fabric, Liqid Matrix software now supports the XConn Apollo switch, the industry’s first and only hybrid CXL 2.0 and PCIe Gen 5 interconnect solution. On a single 256-lane SoC, the XConn switch offers the industry’s lowest port-to-port latency and lowest power consumption per port in a single chip at a low total cost of ownership. Offering integrated support for the XConn Apollo switch, Liqid Matrix composes CXL memory device endpoints to CXL connected hosts, disaggregating the memory from the host server CPU complex and connecting via CXL to a server where DRAM memory is accessed directly for applications and workloads to use with exponential efficiency.

“Next generation applications can’t be limited by traditional memory barriers. A revolutionary change must be made to today’s infrastructure architecture to empower the processing performance modern workloads need to advance,” said Gerry Fan, CEO, XConn. “Our partnership with Liqid is delivering on this need, creating truly composable memory that can meet precise memory requirements in seconds, add and remove memory in real time and truly improve memory utilization and efficiency.”

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“As leading CXL innovators, XConn has developed a compelling interconnect solution for developers looking to embed the flexibility of both CXL and PCIe in a single design. This is a tremendous accelerator for CXL’s adoption,” said Sumit Puri, CEO & Co-founder of Liqid. “We are pleased to partner with XConn as we jointly deliver on the promise of CXL with composable memory for next generation applications and their workloads. Together, we are changing the memory landscape.”

“CXL memory technology, such as the composable memory solution being demonstrated by XConn and Liqid, is rapidly expanding the use of next-generation architectures,” said Jangseok (JS) Choi, vice president of New Business Planning Team at Samsung Electronics. “We are a strong supporter of the collaborative CXL ecosystem and will continue to work with significant CXL players including XConn and Liqid to accelerate the adoption of this memory innovation.”

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HGX H200 Systems and Cloud Instances Coming Soon From World’s Top Server Manufacturers and Cloud Service Providers

NVIDIA announced it has supercharged the world’s leading AI computing platform with the introduction of the NVIDIA HGX H200. Based on NVIDIA Hopper architecture, the platform features the NVIDIA H200 Tensor Core GPU with advanced memory to handle massive amounts of data for generative AI and high performance computing workloads.

The NVIDIA H200 is the first GPU to offer HBM3e — faster, larger memory to fuel the acceleration of generative AI and large language models, while advancing scientific computing for HPC workloads. With HBM3e, the NVIDIA H200 delivers 141GB of memory at 4.8 terabytes per second, nearly double the capacity and 2.4x more bandwidth compared with its predecessor, the NVIDIA A100.

H200-powered systems from the world’s leading server manufacturers and cloud service providers are expected to begin shipping in the second quarter of 2024.

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“To create intelligence with generative AI and HPC applications, vast amounts of data must be efficiently processed at high speed using large, fast GPU memory,” said Ian Buck, vice president of hyperscale and HPC at NVIDIA. “With NVIDIA H200, the industry’s leading end-to-end AI supercomputing platform just got faster to solve some of the world’s most important challenges.”

Perpetual Innovation, Perpetual Performance Leaps

The NVIDIA Hopper architecture delivers an unprecedented performance leap over its predecessor and continues to raise the bar through ongoing software enhancements with H100, including the recent release of powerful open-source libraries like NVIDIA TensorRT™-LLM.

The introduction of H200 will lead to further performance leaps, including nearly doubling inference speed on Llama 2, a 70 billion-parameter LLM, compared to the H100. Additional performance leadership and improvements with H200 are expected with future software updates.

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NVIDIA H200 Form Factors

NVIDIA H200 will be available in NVIDIA HGX H200 server boards with four- and eight-way configurations, which are compatible with both the hardware and software of HGX H100 systems. It is also available in the NVIDIA GH200 Grace Hopper™ Superchip with HBM3e, announced in August.

With these options, H200 can be deployed in every type of data center, including on premises, cloud, hybrid-cloud and edge. NVIDIA’s global ecosystem of partner server makers — including ASRock Rack, ASUS, Dell Technologies, Eviden, GIGABYTE, Hewlett Packard Enterprise, Ingrasys, Lenovo, QCT, Supermicro, Wistron and Wiwynn — can update their existing systems with an H200.

Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure will be among the first cloud service providers to deploy H200-based instances starting next year, in addition to CoreWeave, Lambda and Vultr.

Powered by NVIDIA NVLink™ and NVSwitch™ high-speed interconnects, HGX H200 provides the highest performance on various application workloads, including LLM training and inference for the largest models beyond 175 billion parameters.

An eight-way HGX H200 provides over 32 petaflops of FP8 deep learning compute and 1.1TB of aggregate high-bandwidth memory for the highest performance in generative AI and HPC applications.

When paired with NVIDIA Grace CPUs with an ultra-fast NVLink-C2C interconnect, the H200 creates the GH200 Grace Hopper Superchip with HBM3e — an integrated module designed to serve giant-scale HPC and AI applications.

Accelerate AI With NVIDIA Full-Stack Software

NVIDIA’s accelerated computing platform is supported by powerful software tools that enable developers and enterprises to build and accelerate production-ready applications from AI to HPC. This includes the NVIDIA AI Enterprise suite of software for workloads such as speech, recommender systems and hyperscale inference.

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Bitdeer to develop NVIDIA-accelerated GPU cloud capabilities to cater to unfulfilled demand for AI computing power

Bitdeer Technologies Group, a world-leading technology company for blockchain and high-performance computing, announced that it has become a Preferred cloud service provider (CSP) in the NVIDIA Partner Network and plans to launch Bitdeer AI Cloud, among the first cloud services powered by NVIDIA DGX SuperPOD with DGX H100 systems in the Asia region. The service will provide Bitdeer’s customers with access to NVIDIA AI supercomputing to help them accelerate their development of generative AI, large language models (LLMs), and other AI workloads.

Rapid developments in machine learning, AI, and LLMs are creating a surging demand for powerful, reliable, and readily available cloud-based computing solutions. IDC[1] noted that the public cloud platform-as-a-service (PaaS) market delivered more than 32% annual growth in 2022, which points to the success that customers are achieving with cloud providers as strategic partners. In addition, burgeoning online gaming, livestreaming, and social media industries in Asia are exacerbating the supply-demand imbalance for computing power.

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Bitdeer’s GPU cloud service builds on the Company’s extensive customer reach in Asia. Paired with its domain expertise in hash rate-sharing and cloud services, the service can equip businesses and entrepreneurs with state-of-the-art computing using the NVIDIA DGX platform.

Matt Linghui Kong, Chief Executive Officer of Bitdeer, commented, “We are excited to work with NVIDIA to lay the groundwork for the next era of AI and large language model advancements in Asia. Becoming a Preferred member of the NVIDIA Partner Network validates our technological competence and market reach. We look forward to collaborating with NVIDIA to empower businesses in Asia to innovate, grow, and prosper.”

“Generative AI empowers businesses to unlock unprecedented scalability, reliability, and innovation,” said Tony Paikeday, senior director of the DGX platform at NVIDIA, “With its NVIDIA DGX infrastructure, Bitdeer can provide the AI supercomputing and software needed to build and deploy generative AI models and services.”

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Bitdeer, renowned for its global datacenter deployment capabilities, proficiency in high-performance machine operations, and extensive cloud service expertise, is in the process of methodically building its GPU cloud business. The Company’s designation as an NVIDIA Preferred partner will serve as a catalyst for the Company to develop its GPU cloud capabilities. Bitdeer’s strategic roadmap encompasses four phases: Infrastructure as a Service (IaaS), Platform-as-a-Service (PaaS), Software as a Service (SaaS), and Application as a Service (AaaS).

Infrastructure-as-a-Service (IaaS): Bitdeer is gearing up to provide high-performance GPU cloud infrastructure to serve as the bedrock for AI-driven initiatives. This infrastructure will empower organizations to efficiently harness the full potential of GPUs, facilitating seamless execution of complex AI workloads.

Platform-as-a-Service (PaaS): Expanding on its infrastructure capabilities, Bitdeer is actively developing a comprehensive GPU-as-a-Service platform, simplifying the deployment and management of AI applications. This platform will offer the flexibility and scalability that businesses need to smoothly implement and build out AI solutions and capitalize on the fast-growing PaaS market, which is projected to reach US$352.2 billion globally by 2030[2].

Software-as-a-Service (SaaS): Bitdeer is fully committed to offering turnkey AI solutions tailored to a wide array of industries. By providing AI software services, Bitdeer seeks to democratize AI, making it accessible to organizations of all sizes and eliminating the complexities of in-house development. Users will also have the option to deploy their own models and offer external services.

Application-as-a-Service (AaaS): Between 2023 and 2032, the Asia Pacific API market is expected to have the highest CAGR globally[3]. In an effort to foster AI innovation, Bitdeer is set to craft API services that will enable businesses to easily introduce AI into their existing workflows. Bitdeer will offer an intuitive and efficient development platform and allow users to not only deploy custom APIs with ease, but also achieve seamless integration and interfacing with existing applications.

Building on the foundations of existing blockchain technology and high-performance computing capabilities, Bitdeer is broadening its technical and business horizons. The Company’s ultimate goal is to provide a high-performance foundation from which it can execute complex AI workloads, leveraging GPU cloud infrastructure to create an adaptable and dynamic platform. The flexibility and scalability of this platform will make AI solutions accessible to a vast range of companies and industries. The final phase of the Company’s roadmap will see it offer an intuitive platform that can seamlessly incorporate custom APIs into existing applications. By evolving along a service trajectory that encompasses IaaS, PaaS, SaaS, and AaaS, its upcoming NVIDIA DGX SuperPOD-based high-performance cloud service platform has the potential to advance the way organizations access and use AI.

Bitdeer expects its upcoming DGX SuperPOD-based high-performance cloud service platform to launch in the first quarter of 2024.

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