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2020.12.18
New standards in wireless connectivity: pros, cons, and where they make sense
Wifi 6, Wifi 6e, 5G NR, and 802.11ah (HaLow) are some of the new connectivity solutions being proposed. The route each have taken has distinct advantages for specific applications. We’ll take a brief look at each.
2020.12.16
Trusted Secure Boot – OT004A
AEWIN is launching the Trust Secure Boot module, the OT004, for increased BIOS firmware resilience to guard against firmware tampering or data corruption. This is part of AEWIN’s push for a hardware system root of trust for our network computing systems, and is the first link in the chain. We have leveraged our experiences from gaming system ODM, where there are strict regulations regarding tamper resistance, as well as experiences from specialized sectors where the vendor has requested firmware hardening.
2020.10.27
A look into published 5G vRAN specs
O-RAN, OpenRAN, and OTII, are the 3 most prominent specifications published so far and each has high profile members. We’ll look into each from the perspective of RAN hardware design considerations for 5G private enterprise networks and highlight some key specs and compare them as we go through the specs.
2020.10.22
Deliver Edge AI on AEWIN Edge Servers
We’re experiencing the dawn of Age of Edge AI, as Nvidia CEO and founder, Jensen Huang details his vision at the recent GTC event. AI continues to be the hot topic in the news and blogosphere. According to Intel research, 75% of enterprise applications will use AI by 2021. This creates a large demand for GPU servers to host these new enterprise focused applications. AEWIN, being a network appliance specialist, has tangible advantages versus traditional datacenter server makers trying to miniaturize their servers to fit in the constraints of edge deployment with the twist of added TDP of GPU accelerators.
2020.10.15
Video Analytics – Fine Tuning for Big Gains
AEWIN has been working hard to provide highest performance out of your hardware investments. We’ve been tasked to provide GPU accelerated MEC edge servers for video analytics application. Specifically for accelerated live traffic monitoring, which utilizes NVIDIA T4 to decode live video feeds and perform AI inferencing to detect traffic patterns by different types of vehicles, collisions, traffic violations, license plates, and other useful metrics.