NVIDIA today announced NVIDIA AI Enterprise, a comprehensive software suite of enterprise-grade AI tools and frameworks optimized, certified and supported by NVIDIA, exclusively with VMware vSphere 7 Update 2, separately announced today.

Through a first-of-its-kind industry collaboration to develop an AI-Ready Enterprise platform, NVIDIA teamed with VMware to virtualize AI workloads on VMware vSphere with NVIDIA AI Enterprise. The offering gives enterprises the software required to develop a broad range of AI solutions, such as advanced diagnostics in healthcare, smart factories for manufacturing, and fraud detection in financial services.

AAEON, an industry leader in Edge Computing solutions, announces the SRG-3352C Compact Edge IoT Gateway System. The SRG-3352C brings reliable, cost effective gateway operations with expandability and wireless communication support designed to quickly deploy edge networks in a variety of environments.
The SRG-3352C builds upon the features, durability and reliability of the SRG-3352 Edge IoT Gateway System with expanded support for more connections and wireless communications. All of this is packed into a compact form factor that makes deploying the SRG-3352C even easier, powering more flexible edge network deployments.

The SRG-3352C is powered by the Arm Cortex-A8 800 MHz RISC processor. This innovative processor reduces the energy requirements of the system, allowing for a more efficient system to help save electricity costs. While powerful enough to connect edge networks together, the low energy usage can help cities with achieving green energy goals, and even allow the system to operate on solar power or batteries. It also eliminates the need for dedicated heatsinks, allowing the system to operate in wider temperatures, from 0°C up to 60°C without loss in performance.

AAEON, an industry leader in rugged AI Edge platforms, announces the BOXER-8521AI is now available on a mass market scale. Winner of the 2021 Taiwan Excellence Award, the BOXER-8521AI combines the flexibility of PoE PD deployment with the Google Edge TPU in a rugged, fanless system designed to bring AI Edge Computing to where it's needed.

Recently awarded the Taiwan Excellence Award for 2021, the BOXER-8521AI is focused on providing flexibility in deployment and connectivity. The BOXER-8521AI features a PoE PD port, allowing the system to be deployed further away from its power source, as well as enable internet connection and remote monitoring of the system over the same single cable, reducing the complexity of installation. Additionally, by utilizing both the PoE PD port and DC-input, the system can continue operating even if one power supply is cut off.

Hewlett Packard Enterprise (HPE) today announced it is accelerating space exploration and increasing self-sufficiency for astronauts by enabling real-time data processing with advanced commercial edge computing in space for the first time. Astronauts and space explorers aboard the International Space Station (ISS) will speed time-to-insight from months to minutes on various experiments in space, from processing medical imaging and DNA sequencing to unlocking key insights from volumes of remote sensors and satellites, using HPE's Spaceborne Computer-2 (SBC-2), an edge computing system.

Spaceborne Computer-2 is scheduled to launch into orbit on the 15th Northrop Grumman Resupply Mission to Space Station (NG-15) on February 20 and will be available for use on the International Space Station for the next 2-3 years. The NG-15 spacecraft has been named "SS. Katherine Johnson" in honor of Katherine Johnson, a famed Black, female NASA mathematician who was critical to the early success of the space program.

AAEON, an industry leader in AI Edge Computing, announces the BOXER-8222AI compact system powered by NVIDIA Jetson Nano. Featuring a PoE PD LAN port, the BOXER-8222AI can be powered by a PSE Gateway allowing for deployment without requiring a dedicated power supply.

The BOXER-8222AI is the latest platform in AAEON's family of compact rugged AI systems powered by the innovative and energy efficient NVIDIA Jetson Nano SoC. Specialized for AI edge computing, the Jetson Nano utilizes the quad-core ARM Cortex -A57 MPCore processor with NVIDIA Maxwell GPU architecture featuring 128 NVIDIA CUDA cores. This innovative design allows processing speeds up to 472 GFLOPs and is capable of operating multiple neural networks or processing several high-resolution images at the same time. The NVIDIA Jetson Nano also features onboard 4 GB RAM and MicroSD card slot supporting up to 32 GB of storage.

AAEON, an industry leader in Edge Computing solutions, announces the SRG-3352 Edge IoT Gateway System. The SRG-3352 offers reliable and cost saving edge network operations, with flexibility to connect edge nodes and sensors with cloud services. The SRG-3352 is powered by the Arm Cortex-A8 800 MHz RISC processor. This innovative processor reduces the energy requirements of the system, saving electricity costs and allowing the system to be deployed with solar power or battery operated. With very little heat output, the system can operate in a wide range of temperatures from 0°C up to 60°C without loss in performance.

The SRG-3352 is designed to provide a great value and cost-effective platform not only with initial investment, but also in long term costs. With rugged design and Arm processor, the system provides stable and reliable operation, reducing maintenance needs. To connect from edge to cloud, the SRG-3352 supports 3G/4G LTE as well as NB-IoT to help reduce carrier costs.

Blaize today announced the company's first AI computing hardware and software products built to overcome today's unmet requirements for compute and productization of AI applications at the edge. With multiple feature advancements vs. legacy GPU/CPU solutions, the Blaize Pathfinder and Xplorer platforms coupled with the Blaize AI Software Suite enable developers to usher in a new era of more practical and commercially viable edge AI products across a wide range of edge use cases and industries.

"Today's edge solutions are either too small to compute the load or too costly and too hard to productize," says Dinakar Munagala, Co-founder and CEO, Blaize. "Blaize AI edge computing products overcome these limitations of power, complexity and cost to unleash the adoption of AI at the edge, facilitating the migration of AI computing out of the data center to the edge."

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.

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 introduced Jetson Xavier NX, the world's smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge. With a compact form factor smaller than the size of a credit card, the energy-efficient Jetson Xavier NX module delivers server-class performance up to 21 TOPS for running modern AI workloads, and consumes as little as 10 watts of power.

Jetson Xavier NX opens the door for embedded edge computing devices that demand increased performance but are constrained by size, weight, power budgets or cost. These include small commercial robots, drones, intelligent high-resolution sensors for factory logistics and production lines, optical inspection, network video recorders, portable medical devices and other industrial IoT systems.

FSP, one of the world's leading power supply manufacturers, is pleased to announce the addition of the FlexGURU series. This series of compact, modular, quiet and efficient power supplies is designed for roles such as IPC (Industrial PC), HTPC (Home Theater Personal Computer), Edge Computing, and NAS (Network Attached Storage) and NAS Servers. The FlexGURU series includes 250 W and 300 W models. These slim but powerful PSUs - just 150 x 40.5 x 81.5 mm - offer 20 percent higher power density than other typical Flex ATX power supplies. FlexGURU can fulfill VAR (Value Added Reseller) demands involving small quantity requirements from edge computers. This reduced the need to purchase large amounts of customized PSUs and keep stock waiting to be sold.

FSP's FlexGURU Flex ATX's modular design with slim ribbon cables allows for easier set up, reducing cable clutter and improves airflow efficiency. Users only need to install the minimum number of cables required for their own system. Modular connectors allow users to efficiently move cables, and reduce debugging time for a better experience. This also gives users the flexibility to replace the PSU without the hassle of disconnecting every cable from the PC. FSP has created a universal bracket that fits into two different orientations for quick installation into any chassis. The mounting holes and auxiliary bracket are designed to ensure the FlexGURU series is compatible with 99 percent of Flex-ATX PC chassis on the market.

NVIDIA today reported revenue for the first quarter ended April 28, 2019, of $2.22 billion compared with $3.21 billion a year earlier and $2.21 billion in the previous quarter. GAAP earnings per diluted share for the quarter were $0.64, compared with $1.98 a year ago and $0.92 in the previous quarter. Non-GAAP earnings per diluted share were $0.88 compared with $2.05 a year earlier and $0.80 in the previous quarter.

"NVIDIA is back on an upward trajectory," said Jensen Huang, founder and CEO of NVIDIA. "We've returned to growth in gaming, with nearly 100 new GeForce Max-Q laptops shipping. And NVIDIA RTX has gained broad industry support, making ray tracing the standard for next-generation gaming.

Intel is hosting its first artificial intelligence (AI) developer conference in Beijing on Nov. 14 and 15. The company kicked off the event with the introduction of the Intel Neural Compute Stick 2 (Intel NCS 2) designed to build smarter AI algorithms and for prototyping computer vision at the network edge. Based on the Intel Movidius Myriad X vision processing unit (VPU) and supported by the Intel Distribution of OpenVINO toolkit, the Intel NCS 2 affordably speeds the development of deep neural networks inference applications while delivering a performance boost over the previous generation neural compute stick. The Intel NCS 2 enables deep neural network testing, tuning and prototyping, so developers can go from prototyping into production leveraging a range of Intel vision accelerator form factors in real-world applications.

"The first-generation Intel Neural Compute Stick sparked an entire community of AI developers into action with a form factor and price that didn't exist before. We're excited to see what the community creates next with the strong enhancement to compute power enabled with the new Intel Neural Compute Stick 2," said Naveen Rao, Intel corporate vice president and general manager of the AI Products Group.