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.

AAEON, a leader in AI edge solutions, announces the release of the BOXER-8230AI AI Edge box PC powered by the NVIDIA Jetson TX2 NX System on Module (SOM). The BOXER-8230AI delivers powerful computing performance without breaking budgets, along with rugged design and diverse I/O layout including five Gigabit Ethernet ports. The BOXER-8230AI offers a solution that's perfect for intelligent applications including surveillance, smart factory, and smart retail.
The BOXER-8230AI platform brings flexibility to meet the needs of customers, with industrial design and storage capacity. With two available configurations, the BOXER-8230AI-A3 and BOXER-8230AI-A4 systems offer flexible I/O loadout with five Gigabit Ethernet LAN ports to connect with IP cameras and other devices, as well as four USB 3.2 Gen 1 ports and two COM ports. Storage flexibility is provided with 16 GB onboard eMMC storage, microSD slot and a 2.5" SATA III bay (A4 model).

The BOXER-8230AI platform is powered by the NVIDIA Jetson TX2 NX SOM, delivering powerful AI edge computing without compromising costs. The Jetson TX2 NX delivers more than twice the performance of the NVIDIA Jetson Nano thanks to its six-core ARM processor and NVIDIA Pascal GPU with 256 CUDA cores. This allows the Jetson TX2 NX to achieve speeds up to 1.33 TFLOPS, and enables the system to power a wide range of AI Edge applications.

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).

Remember that time when NVIDIA CEO Jensen Huang pulled the company's HGX system (based on Ampere GA100) out of his own oven? Well, it seems we might be looking at something similar come GTC, which is set for April 12th. The event will again take place solely via online transmissions and announcements due to the still heavily-grassing COVID-19 pandemic, and NVIDIA teased a new kick-off presentation from its CEO - from his kitchen.

NVIDIA has usually taken GTC as an opportunity to showcase products not for the consumer segment, however, so temper your expectations. You should also likely temper your expectations regarding Huang taking enough RTX 30-series graphics cards form his oven to satisfy the incredible demand and stock issues we've been seeing with NVIDIA's latest and greatest. What we could be looking for (as an appetizer to this year's over 1500 presentations) are products focused on the professional computing markets, from quantum computing to AI, passing through RTX Ampere accelerators for professionals, NVIDIA Drive products, as well as Jetson announcements. NVIDIA did warn some surprises might be in store, but again, this doesn't mean these are surprises aimed at consumer gaming products. Catch up on NVIDIA's official announcement and a previously-released GTC retrospective video after the break.

- 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.

AAEON, a leading manufacturer of AI Edge computing solutions, announces the BOXER-8253AI, the latest in AAEON's lineup of compact rugged platforms powered by the NVIDIA Jetson Xavier NX SoC. The BOXER-8253AI builds on the popular BOXER-825x Series to deliver a flexible platform designed to connect and power even more applications with HDMI input, PoE PSE ports, and flexible storage options.

The BOXER-8253AI features an I/O loadout designed to provide users and developers flexible deployment for any application. The BOXER-8253AI brings new capabilities to the platform with HDMI input, allowing developers and users to quickly add AI powered visual analysis to a broad range of applications from NVR surveillance systems to security checkpoint X-ray scanners and medical devices. Additionally, the BOXER-8253AI features two PoE PSE ports (802.3af) delivering up to 60 W total power to connect and power devices such as PoE cameras or even PoE PD devices.

AAEON, a leader in AI edge solutions, announces the release of the BOXER-8251AI AI edge box PC powered by NVIDIA Jetson Xavier NX. With greater performance and compact size, the BOXER-8251AI offers greater flexibility to bring even more smart applications to life.

The BOXER-8251AI is powered by the innovative Jetson Xavier NX from NVIDIA. Featuring a six-core 64-bit ARM processor, it boasts 384 CUDA cores, 48 Tensor Cores, and two NVDLA engines capable of running multiple neural networks in parallel, delivering accelerated computing performance up to 21 TOPS. Built to bring dedicated AI processing to the edge, the system also features 8 GB of LPDDR4 memory and 16 GB of onboard eMMC memory that's expandable through the Micro-SD card slot.

IBASE Technology Inc. (TPEx: 8050), a world-leading manufacturer of industrial motherboard boards and embedded computing solutions, has revealed its latest EC-3200 AI computing platform that is based on the cutting-edge power-efficient and high-performance NVIDIA Jetson Tegra X2 (TX2) processor. The NVIDIA Jetson TX2 pairs a dual-core Denver 2 alongside a quad-core ARM Cortex -A57 processor and provides 256 CUDA cores on the NVIDIA's advanced Pascal GPU architecture with up to 1.33 TFLOPS, delivering exceptional AI performance.

Designed to operate under an extended temperature range from -20°C to +60°C, the EC-3200 leverages the integrated GPU-computing power of the Jetson TX2 platform in building edge inference servers to analyze and better manage real time traffic flow in smart cities or to optimize the efficiency of operational processes in intelligent factories. "Current edge and cloud-based AI products require better computational and video analytics capability to perform demanding real-time data processing and overcome latency issues," said Wilson Lin, Director of IBASE Product Planning Department. "The EC-3200 is no doubt a durable solution, especially built with a fanless design for non-stop operation and takes advantage of the GPU-accelerated parallel processing of NVIDIA Jetson TX2 to handle data intensive and mission-critical workloads with power efficiency and unmatched reliability."

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 release the AIE100-903-FL, an ultra-compact edge AI system. The high-performance AIE100-903-FL is powered by the NVIDIA Jetson Nano module, which has a powerful quad-core ARM Cortex -A57 MPCore processor and NVIDIA Maxwell GPU architecture with 128 NVIDIA CUDA cores. In order to easily install and deploy an IP camera, this user-friendly AI-enabled system is equipped with a 15W GbE PoE port for both power and video transmission. The advanced AIE100-903-FL was designed for intelligent edge AI applications, such as AI computing, edge computing, smart retail, smart city, and more.

"The AIE100-903-FL offers support for NVIDIA JetPack 4.3.1 for ease of development for AI computing and deep learning applications such as people counting, behavior analysis and facial recognition. With its strong construction, this ultra-compact edge AI platform can operate under a wide range of temperatures from- 30°C to +60°C and withstand vibration up to 3 Grms. Moreover, it offers an optional waterproof IP42-rated cover kit to strengthen the protection of semi-outdoor environments. This AI-powered system is well-suited for use in moist places, for instance, besides the freezer, under the eave or at the arcade," said Annie Fu, a product manager of Product PM Division at Axiomtek.

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 announced two powerful products for its EGX Edge AI platform - the EGX A100 for larger commercial off-the-shelf servers and the tiny EGX Jetson Xavier NX for micro-edge servers - delivering high-performance, secure AI processing at the edge. With the NVIDIA EGX Edge AI platform, hospitals, stores, farms and factories can carry out real-time processing and protection of the massive amounts of data streaming from trillions of edge sensors. The platform makes it possible to securely deploy, manage and update fleets of servers remotely.

The EGX A100 converged accelerator and EGX Jetson Xavier NX micro-edge server are created to serve different size, cost and performance needs. Servers powered by the EGX A100 can manage hundreds of cameras in airports, for example, while the EGX Jetson Xavier NX is built to manage a handful of cameras in convenience stores. Cloud-native support ensures the entire EGX lineup can use the same optimized AI software to easily build and deploy AI applications.

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 unveiled the NVIDIA Jetson TX2, a credit card-sized platform that delivers AI computing at the edge -- opening the door to powerfully intelligent factory robots, commercial drones and smart cameras for AI cities. Jetson TX2 offers twice the performance of its predecessor, or it can run at more than twice the power efficiency, while drawing less than 7.5 watts of power. This allows Jetson TX2 to run larger, deeper neural networks on edge devices. The result: smarter devices with higher accuracy and faster response times for tasks like image classification, navigation and speech recognition.

"Jetson TX2 brings powerful AI capabilities at the edge, making possible a new class of intelligent machines," said Deepu Talla, vice president and general manager of the Tegra business at NVIDIA. "These devices will enable intelligent video analytics that keep our cities smarter and safer, new kinds of robots that optimize manufacturing, and new collaboration that makes long-distance work more efficient."