Computer server redundancy, including backup power supplies, RAID storage devices and applications that automatically fail-over, keeps critical systems up and running longer than non-redundant systems. Similarly, effective system monitoring can provide early warning of failures and allow system managers to remotely manage these systems, further improving application uptime. While the concepts of computer system redundancy and system management are well-established in all levels of computing, from the personal computer to the largest hyperscale datacenters, the unique challenges of placing datacenter-class computing elements performing AI applications in mobile edge environments, like aircraft, ships, and land vehicles, brings unique challenges to system redundancy and management.
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The most powerful artificial intelligence computing hardware is designed to thrive in a datacenter environment where there is uncapped clean power, near limitless cooling capacity, and a vibration-free environment. The growth of AI use cases in vehicles including automated crop management, autonomous long-haul freight, and military ISR aircraft necessitates the use of datacenter-oriented hardware in vehicles – particularly for initial developments while more customized size, weight, and power (SWaP) optimized embedded platforms are developed.
In this video, Jaan Mannik, Director of Commercial Sales at OSS, does a quick walkthrough of Centauri Storage Expansion. Centauri offers rugged high-speed storage in a compact chassis. Built as a modular storage expansion to the OSS 3U SDS, Centauri can store up to 256 TB of NVMe storage in its 8-drive canister. These canisters allow for tool-less bulk or individual drive removal and can be hot-swapped for ease of use in fast-paced environments. The system is compatible with 2.5" NVMe drives, and its PCIe Gen4 hardware facilitates high-speed storage throughput.
Driver Assistance, Partial Driving Automation, Conditional Driving Automation, High Driving Automation, Full Driving Automation: These terms describe the five stages or levels on the way to an autonomous vehicle. This is what they mean.
With so many uncertainties and changes in the business world today, verses 2 years ago, it is tough to figure out which direction to head to make meaningful collaborations. COVID has turned the business world upside-down. Primarily, it has taken away the personalized touch from everyday business interactions. In the new world of working remotely, where no one is available to meet face-to-face, they often are not accepting or returning phone calls, and emails are routinely disregarded. This has made business development and consultative sales a challenge. The casual days of dropping off brochures and meeting people in company lobbies are long gone.
With movies such as Terminator and iRobot gracing movie screens these days, the cause for concern regarding artificial intelligence (AI) is understandable. However, society is still just at the tip of the iceberg when it comes to the true power of AI machines and computers. The following info graph will explain the evolution of AI and how OSS is helping to push the limits of artificial intelligence.
For anyone who has worked in the trade show industry, planned a trade show, or exhibited at a trade show, you may already be aware that nothing with trade shows ever goes according to plan. You can spend a lot of time and effort planning everything to a tee, and it still doesn’t matter, because it’s almost a guarantee that something will go wrong.
In the world of digital computing, the fundamental determinant of performance is the ability to distinguish between an electrical signal representing a 1 or a 0. The speed at which these transitions can be recognized on a system’s internal PCI Express (PCIe) interconnect determines the bandwidth of data that can be transmitted and acted upon. With PCIe Gen5, transitions from 1’s to 0’s must be recognized 32 billion times per second.
The need to keep US and allied troops out of harm’s way, while still pursuing battlefield superiority, increasingly requires a need for battlefield assets throughout the military theater to become fully autonomous. Currently, most unmanned military vehicles are controlled remotely, but the military is expanding the role of autonomy within surface ships, submarine vessels, aircraft, and land vehicles to identify and take action on current and future threats.
In this video, Tom Fries, Government Sales Manager at OSS, does a quick walkthrough of the Rigel Edge Supercomputer. The Rigel Edge Supercomputer brings the power of NVIDIA® HGX™ A100 SXM GPUs to the rugged edge. The HGX A100 4-GPU backplane delivers 78 teraFLOPS of FP64 HPC performance using third generation NVIDIA NVLink™ technology. The GPUs are integrated with OSS PCIe Gen 4.0 expansion technology to take advantage of the latest AMD 3rd Gen EPYC processors while offering four PCIe Gen 4.0 x16 expansion slots for high-speed network interconnect, NVMe storage, or FPGA sensor capture.
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