Axiomtek - a world-renowned leader relentlessly devoted to the research, development, and manufacture of series of innovative and reliable industrial computer products of high efficiency - is pleased to introduce the AIE110-XNX, its new edge AI developer kit powered by the NVIDIA Jetson Xavier NX platform which features 6-core NVIDIA Carmel ARM v8.2 64-bit CPU delivering up to 21 TOPS of accelerated AI computing performance and integrates an advanced 384-core NVIDIA Volta GPU with 48 Tensor Cores. Aimed to save effort on system integration and reduce complexity for embedded developers, the AIE110-XNX enables users to develop AI solutions on a friendly budget with no limit of minimum order. The palm-sized edge AI developer kit is ideal for makers, learners, and system integrators to build more AI innovation with little effort.

"The AI boom is happening all over the world, and it is now available for everyone. Catching the AI wave with faster responding and more efficiency, Axiomtek's AIE110-XNX can be quickly engaged to be the AIE100-903-FL-NX for smart city, the IP67-rated AIE800-904-FL for outdoor edge AI applications, the AIE900-XNX for robotics and AMR or self-service kiosk applications. It can also be flexibly transitioned to a new generation platform with upgraded AI performance such as NVIDIA Jetson Orin NX, NVIDIA Jetson Orin Nano, and more," said Annie Fu, a Product Manager of the AIoT Team at Axiomtek. "In addition, the AIE110-XNX has reserved mounting holes on the bracket, which helps system integrators to easily start development right out of the box."

AAEON, a leader in edge AI solutions, announces the BOXER-8256AI. The BOXER-8256AI is AAEON's newest NVIDIA Jetson Xavier NX embedded BOX PC, designed for smart healthcare equipment, digital signage, and entertainment. A sophisticated, practical design featuring four HDMI input ports allows you to facilitate real-time stream filtering. The Jetson Xavier NX's powerful performance enables you to run multiple AI algorithms and analyze live video streaming with speed and precision.

Utilizing the Jetson Xavier NX's Volta GPU architecture, the BOXER-8256AI offers customers 384 NVIDIA CUDA and 48 Tensor Cores for a peak AI performance of 21 TOPS. Its I/O, containing four HDMI input ports to support two 4K 30 Hz and two 1080p 60 Hz video stream inputs can take advantage of this inferencing power to run multiple AI algorithms and provide users with live video streaming analysis.

Oosto announced today the launch of the Oosto Vision AI Appliance, a revolutionary near-edge device that delivers the power and security of Vision AI in a palm-sized device, allowing organizations to protect people, customers and assets more affordably while reducing IT complexity. The Vision AI Appliance is based on the NVIDIA Jetson Xavier NX system on module and is equipped with Oosto's state-of-the-art neural network models for video analytics that are optimized to support low-power devices. Significantly, this was achieved without compromising on superior performance, security or recognition accuracy which historically required compute-intensive GPU processing servers.

This announcement is part of Oosto's ongoing commitment to edge computing. In 2021, the company embedded its Vision AI algorithms on Ambarella's CV2x family of edge AI vision SoCs. Moving the workload to the chip level and to near-edge devices enables organizations to perform real-time video analysis. Significant processing power is required to analyze every frame of a video feed and perform a variety of instant computations to determine if the person entering a building is an authorized employee or on a watchlist (e.g., a VIP or security threat).

With the announcement of the NVIDIA Jetson AGX Orin developer kit, AAEON is excited to utilize the many benefits that such a powerful system-on-module (SOM) can bring to its own product lines. With the same form factor and pin compatibility as the NVIDIA Jetson AGX Xavier, but with an improvement from 32 TOPS to 275 TOPS, the NVIDIA Jetson AGX Orin is set to make it easier than ever to develop faster, more sophisticated AI applications.

AAEON is therefore pleased to announce two upcoming products available in Q4 which will feature the Jetson AGX Orin 32 GB and Jetson AGX Orin 64 GB as their respective processor modules: the BOXER-8260AI and BOXER-8261 AI@Edge Embedded BOX PCs. Both products will feature the NVIDIA JetPack 5.0 SDK to support the full Jetson software stack to help in the development of AI applications in areas such as high-end autonomous machinery. With two NVIDIA deep learning accelerators (NVDLA), along with a 32 GB 256-bit system memory, the BOXER-8260AI will provide the perfect device for vision-based AI applications. Moreover, its expansive I/O options include 12 RJ-45 slots for PoE, along with DB-9 slots for CANbus and six DIO.

Xiaomi today took another bold step in the exploration of future technology with its new bio-inspired quadruped robot - CyberDog. The launch of CyberDog is the culmination of Xiaomi's engineering prowess, condensed into an open source robot companion that developers can build upon.

CyberDog is Xiaomi's first foray into quadruped robotics for the open source community and developers worldwide. Robotics enthusiasts interested in CyberDog can compete or co-create with other like-minded Xiaomi Fans, together propelling the development and potential of quadruped robots.

Axiomtek - a world-renowned leader relentlessly devoted in the research, development, and manufacture of series of innovative and reliable industrial computer products of high efficiency - is pleased to introduce the AIE900-902-FL, its new edge AI computing system for advanced AI-powered autonomous machine applications. This robust edge AI system adopts the NVIDIA Jetson AGX Xavier platform which has an 8-core NVDIA Carmel ARM v8.2 (64-bit) processor and 512-Core NVIDIA Volta GPU with 64 Tensor cores. The high-performance AI system comes with four PoE ports and two LAN ports for 3D LiDAR and high-speed intelligent video surveillance applications. The AIE900-902-FL is a perfect platform for 3D vision guided robot, autonomous mobile robot (AMR), intelligent video analytics, domain-focused robot assistant, intelligent roadside unit, and more.

"Artificial Intelligence (AI) is impacting every industry, and autonomous machines are no exception. Axiomtek's AIE900-902-FL specifically built around NVIDIA Jetson AGX Xavier platform, with integrated NVIDIA GPUs to deliver exceptional computing performance for processing AI data at the edge. This edge AI embedded system gets a head start to provide advanced opportunities to our customers to develop and deploy AI-driven autonomous machines," said Annie Fu, a product manager of the Product PM Division at Axiomtek.

AAEON, an industry leader in embedded AI Edge systems, announces new software support for the BOXER-8200 series of embedded PCs featuring NVIDIA Jetson System on Modules (SOM). AAEON has officially signed an agreement with Canonical to provide customers with the NVIDIA Ubuntu operating system pre-installed on new BOXER-8200 systems. Systems with the NVIDIA Ubuntu OS will also ship with the Jetpack 4.5 drivers and toolkit package preinstalled. Additionally, AAEON announces a new customization services to provide Secureboot to clients in addition to other customization options.

AAEON is dedicated to delivering the most comprehensive platform solutions powered by NVIDIA Jetson SOMs. To meet the needs of their clients, AAEON has signed an agreement with Canonical to provide the official NVIDIA Ubuntu OS image on the entire range of BOXER-8200 series systems. Developers and customers who purchase new BOXER-8200 series systems can receive the system with the OS preinstalled, with no need to flash the image before starting the system up for the first time. The BOXER-8200 series includes the BOXER-822x platforms with Jetson Nano, BOXER-8240AI with Jetson AGX Xavier, BOXER-825x platforms with Jetson Xavier NX, and BOXER-823x platforms with Jetson TX2 NX (currently under development).

- AAEON, an industry leader in embedded AI edge computing systems, announces a lineup of platforms currently under development powered by the newly released NVIDIA Jetson TX2 NX system on module (SOM). This range of systems, named the BOXER-823x Series, will augment AAEON's lineup of diverse solutions powered by the NVIDIA Jetson edge AI platform. With these platforms planned for release in mid-2021, early adopters have a chance to demo the systems while in development.

The NVIDIA Jetson TX2 NX is the latest addition to NVIDIA's Jetson lineup, slotting in between the NVIDIA Jetson Nano and NVIDIA Xavier NX. Jetson TX2 NX is powered by a NVIDIA Pascal GPU, quad-core Arm Cortex -A57 MPCore processor complex, offering 256 CUDA Cores, 4 GB of onboard LPDD4 memory, and 51.2 GB/s of memory bandwidth compatible with extensions of various standard bus interfaces. In total, this offers AI processing speeds up to 1.33 TFLOPS.

Axiomtek - a world-renowned leader relentlessly devoted in the research, development and manufacture of series of innovative and reliable industrial computer products of high efficiency - is pleased to announce the AIE100-903-FL-NX, its ultra-compact and state-of-the-art edge AI system. The high-performance AIE100-903-FL-NX is powered by the NVIDIA Jetson Xavier NX module which has a powerful 6-core NVIDIA Carmel ARM v8.2 64-bit processor and 384-core NVIDIA Volta GPU architecture with 48 Tensor cores; in addition, it integrates Allxon Device Management Solutions (Allxon DMS) to provide a cost-effective and simplified device management solution with comprehensive remote management capabilities. The AIE100-903-FL-NX is ideal for smart city, smart manufacturing, smart retail, and other intelligent edge AI applications.

"The AIE100-903-FL-NX is a waterproof, fanless NVIDIA-based AI edge inference system designed for AI computing and deep learning applications, such as behavior analytics, face recognition and vehicle analysis. Due to its rugged design, the ultra-compact edge computing device can operate in harsh environments with a wide range of temperatures from -30°C to +50°C and can withstand vibration up to 3 Grms. In addition, it offers an optional waterproof IP42-rated cover kit for enhanced protection in semi-outdoor environments," said Annie Fu, the product manager of Product PM Division at Axiomtek. "Besides the outstanding hardware solutions, the AI-powered AIE100-903-FL-NX is integrated with cloud-based Allxon DMS to provide remote management for convenient real-time control on devices. Allxon DMS offers rapid deployment and integration on multiple operating systems, reduces system downtime and maintenance costs, and further provides a wide breadth of centralized cloud device management. This industrial edge AI system is the best choice to simplify the large-scale deployment of AIoT platforms."

Aetina Corp., a provider of high-performance GPGPU solutions, announced the new AN110-XNX edge AI computer leveraging the powerful capabilities of the NVIDIA Jetson Xavier NX, expanding its range of edge AI systems built on the Jetson platform for applications in smart transportation, factories, retail, healthcare, AIoT, robotics, and more.

The AN110-XNX combines the NVIDIA Jetson Xavier NX and Aetina AN110 carrier board in a compact form factor of 87.4 x 68.2 x 52 mm (with fan). AN110-XNX supports the MIPI CSI-2 interface for 1x4k or 2xFHD cameras to handle intensive AI workloads from ultra-high-resolution cameras to more accurate image analysis. It is as small as Aetina's AN110-NAO based on the NVIDIA Jetson Nano platform, but delivers more powerful AI computing via the new Jetson Xavier NX. With 384 CUDA cores, 48 Tensor Cores, and cloud-native capability the Jetson Xavier NX delivers up to 21 TOPS and is the ideal platform to accelerate AI applications. Bundled with the latest NVIDIA Jetpack 4.4 SDK, the energy-efficient module significantly expands the choices now available for developers and customers looking for embedded edge-computing options that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.

NVIDIA today reported revenue for the first quarter ended April 26, 2020, of $3.08 billion, up 39 percent from $2.22 billion a year earlier, and down 1 percent from $3.11 billion in the previous quarter. GAAP earnings per diluted share for the quarter were $1.47, up 130 percent from $0.64 a year ago, and down 4 percent from $1.53 in the previous quarter. Non-GAAP earnings per diluted share were $1.80, up 105 percent from $0.88 a year earlier, and down 5 percent from $1.89 in the previous quarter.

NVIDIA completed its acquisition of Mellanox Technologies Ltd. on April 27, 2020, for a transaction value of $7 billion. It also transitioned its GPU Technology Conference to an all-digital format, drawing more than 55,000 registered participants, while NVIDIA founder and CEO Jensen Huang's keynote videos were viewed 3.8 million times in their first three days.

AAEON, a leading developer of embedded AI and edge-computing solutions, today announced it is unveiling several new rugged embedded platforms—augmenting an already extensive lineup of AAEON AI edge-computing solutions powered by the NVIDIA Jetson platform. The new AAEON products provide key interfaces needed for edge computing in a small form factor, making it easier to build applications for all levels of users, from makers to more advanced developers for deployments in the field.

AAEON also introduced a new version of the popular BOXER-8120AI, now featuring the Jetson TX2 4 GB module, providing an efficient and cost-effective solution for AI edge computing with 256 CUDA cores delivering processing speeds up to 1.3 TFLOPS."Partnering with an AI and edge computing leader like NVIDIA supports our mission to deliver more diversified embedded products and solutions at higher quality standards," said Alex Hsueh, Senior Director of AAEON's System Platform Division. "These new offerings powered by the Jetson platform complement our existing lineup of rugged embedded products, providing an optimal combination of performance and price in a smaller form factor for customers to easily deploy across a full range of applications."

NVIDIA today reported revenue for the third quarter ended Oct. 27, 2019, of $3.01 billion compared with $3.18 billion a year earlier and $2.58 billion in the previous quarter. GAAP earnings per diluted share for the quarter were $1.45, compared with $1.97 a year ago and $0.90 in the previous quarter. Non-GAAP earnings per diluted share were $1.78, compared with $1.84 a year earlier and $1.24 in the previous quarter.

"Our gaming business and demand from hyperscale customers powered Q3's results," said Jensen Huang, founder and CEO of NVIDIA. "The realism of computer graphics is taking a giant leap forward with NVIDIA RTX. "This quarter, we have laid the foundation for where AI will ultimately make the greatest impact. We extended our reach beyond the cloud, to the edge, where GPU-accelerated 5G, AI and IoT will revolutionize the world's largest industries. We see strong data center growth ahead, driven by the rise of conversational AI and inference."

Tesla held an investor panel in the USA yesterday (April 22) with the entire event, focusing on autonomous vehicles, also streamed on YouTube (replay here). There were many things promised in the course of the event, many of which are outside the scope of this website, but the announcement of Tesla's first full self-driving hardware module made the news in more ways than one as reported right here on TechPowerUp. We had noted how Tesla had traditionally relied on NVIDIA (and then Intel) microcontroller units, as well as NVIDIA self-driving modules in the past, but the new in-house built module had stepped away from the green camp in favor of more control over the feature set.

NVIDIA was quick to respond to this, saying Tesla was incorrect in their comparisons, in that the NVIDIA Drive Xavier at 21 TOPS was not the right comparison, and rather it should have been against NVIDIA's own full self-driving hardware the Drive AGX Pegasus capable of 320 TOPS. Oh, and NVIDIA also claimed Tesla erroneously reported Drive Xavier's performance was 21 TOPS instead of 30 TOPS. It is interesting how one company was quick to recognize itself as the unmarked competition, especially at a time when Intel, via their Mobileye division, have also given them a hard time recently. Perhaps this is a sign of things to come in that self-driving cars, and AI computing in general, is getting too big a market to be left to third-party manufacturing, with larger companies opting for in-house hardware itself. This move does hurt NVIDIA's focus in this field, as market speculation is ongoing that they may end up losing other customers following Tesla's departure.

NVIDIA today reported revenue for the third quarter ended Oct. 28, 2018, of $3.18 billion, up 21 percent from $2.64 billion a year earlier, and up 2 percent from $3.12 billion in the previous quarter. GAAP earnings per diluted share for the quarter were $1.97, up 48 percent from $1.33 a year ago and up 12 percent from $1.76 in the previous quarter. Non-GAAP earnings per diluted share were $1.84, up 38 percent from $1.33 a year earlier and down 5 percent from $1.94 in the previous quarter.

"AI is advancing at an incredible pace across the world, driving record revenues for our datacenter platforms," said Jensen Huang, founder and CEO of NVIDIA. "Our introduction of Turing GPUs is a giant leap for computer graphics and AI, bringing the magic of real-time ray tracing to games and the biggest generational performance improvements we have ever delivered.

NVIDIA has long worked in the field of artificial intelligence applied to self-driving, and the fruits of that work are beginning to appear. Volvo has announced an alliance with NVIDIA whereby the carmaker will use NVIDIA'S Drive AGX Xavier computer in its next generation of vehicles. This system allows level 4 autonomy in controlled areas, although initially they will restrict their capacity to "Level 2+" that will more or less bring it up to the level offered by the current Tesla models.

The first Volvo cars to integrate this system will be available in the early 2020s, and will not only monitor the vehicle's surroundings but will also follow the driver's head and eye movements to detect possible events that the car's sensors have failed to capture. Volvo is not the first to reach such an agreement with NVIDIA: the company has already reached an agreement with Volkswagen earlier this year to take advantage of its Drive IX platform, and other customers such as Uber and Daimler have also made use of NVIDIA solutions in this field.

NVIDIA's Turing architecture is one of the biggest leaps in computer graphics in 20 years. Here's a look at the latest developer software releases to take advantage of this cutting-edge GPU. CUDA 10: CUDA 10 includes support for Turing GPUs, performance optimized libraries, a new asynchronous task-graph programming model, enhanced CUDA & graphics API interoperability, and new developer tools. CUDA 10 also provides all the components needed to build applications for NVIDIA's most powerful server platforms for AI and high performance computing (HPC) workloads, both on-prem (DGX-2) and in the cloud (HGX-2).

TensorRT 5 - Release Candidate: TensorRT 5 delivers up to 40x faster inference performance over CPUs through new optimizations, APIs and support for Turing GPUs. It optimizes mixed precision inference dramatically across apps such as recommenders, neural machine translation, speech and natural language processing. TensorRT 5 highlights include INT8 APIs offering new flexible workflows, optimization for depthwise separable convolution, support for Xavier-based NVIDIA Drive platforms and the NVIDIA DLA accelerator. In addition, TensorRT 5 brings support for Windows and CentOS Operating Systems.

Aquantia Corp., a leader in high-speed, Multi-Gig Ethernet connectivity solutions, today announced that its automotive networking portfolio is the 10 Gbps Ethernet connectivity solution for the NVIDIA DRIVE Xavier and DRIVE Pegasus platforms for autonomous vehicles. The high-performance NVIDIA AI computing platforms featuring Aquantia Multi-Gig networking will be available to automotive partners starting in the first quarter of 2018.

NVIDIA DRIVE AI car computers use deep learning to process data from multiple cameras, radar, LIDAR and other sensors throughout the vehicle. To deliver Level 4 and Level 5 driving - which is categorized as a fully autonomous vehicle - hundreds of trillions of deep learning operations per second (TOPS) need to receive and process sensor data and immediately communicate critical decisions throughout the vehicle's systems. For example, the DRIVE Xavier processor parses all the information to understand a full 360-degree perception around the vehicle, and determine the presence and movement of pedestrians, other vehicles and objects as it plans a safe path forward. The Aquantia Ethernet products communicate the data and decisions back and forth throughout the system at 10 Gbps over automotive Ethernet cables to help provide a seamless autonomous experience.

NVIDIA's next-generation "Volta" GPU architecture got its commercial debut in the most unlikely class of products, with the Xavier autonomous car processor. The actual money-spinners based on the architecture, consumer GPUs, will arrive some time in 2018. The company will be banking on its old faithful fab TSMC, to build those chips on a new 12 nanometer FinFET node that's currently under development. TSMC's current frontline process is the 16 nm FFC, which debuted in mid-2015, with mass-production following through in 2016. NVIDIA's "GP104" chip is built on this process.

This could also mean that NVIDIA could slug it out against AMD with its current GeForce GTX 10-series "Pascal" GPUs throughout 2017-18, even as AMD threatens to disrupt NVIDIA's sub-$500 lineup with its Radeon Vega series, scheduled for Q2-2017. NVIDIA's "Volta" architecture could see stacked DRAM technologies such as HBM2 gain more mainstream exposure, although competing memory standards such as GDDR6 aren't too far behind.

NVIDIA (NASDAQ: NVDA) today reported revenue for the third quarter ended October 30, 2016, of $2.00 billion, up 54 percent from $1.30 billion a year earlier, and up 40 percent from $1.43 billion in the previous quarter. GAAP earnings per diluted share for the quarter were $0.83, up 89 percent from $0.44 a year ago and up 102 percent from $0.41 in the previous quarter. Non-GAAP earnings per diluted share were $0.94, up 104 percent from $0.46 a year earlier and up 77 percent from $0.53 in the previous quarter.

"We had a breakout quarter - record revenue, record margins and record earnings were driven by strength across all product lines," said Jen-Hsun Huang, founder and chief executive officer, NVIDIA. "Our new Pascal GPUs are fully ramped and enjoying great success in gaming, VR, self-driving cars and datacenter AI computing. "We have invested years of work and billions of dollars to advance deep learning. Our GPU deep learning platform runs every AI framework, and is available in cloud services from Amazon, IBM, Microsoft and Alibaba, and in servers from every OEM. GPU deep learning has sparked a wave of innovations that will usher in the next era of computing," he said.

At its inaugural European edition of the Graphics Technology Conference (GTC), NVIDIA announced Xavier, an "AI supercomputer for the future of autonomous transportation." An evolution of its Drive PX2 board that leverages a pair of "Maxwell" GPUs with some custom logic and an ARM CPU, to provide cars with the compute power necessary to deep-learn the surroundings and self-drive, or assist-drive; Xavier is a refinement over Drive PX2 in that it merges three chips - two GPUs and one control logic into an SoC.

You'd think that NVIDIA refined its deep-learning tech enough to not need a pair of "Maxwell" SoCs, but Xavier is more than that. The 7 billion-transistor chip built on 16 nm FinFET process, offers more raw compute performance thanks to leveraging NVIDIA's next-generation "Volta" architecture, one more advanced than even its current "Pascal" architecture. The chip features a "Volta" GPU with 512 CUDA cores. The CVA makes up the vehicle I/O, while an image processor that's capable of 8K HDR video streams feeds the chip with visual inputs from various cameras around the vehicle. An 8-core ARM CPU performs general-purpose compute. NVIDIA hopes to get the first engineering samples of Xavier out to interested car-makers by Q4-2017.