#low-latency

#low-latency

Edge computing is a type of IT infrastructure in which data is collected, stored, and processed near the "edge" or on the device itself instead of being transmitted to a centralized processor. Edge computing systems usually involve a network of devices, sensors, or machinery capable of data processing and interconnection. A main benefit of edge computing is its low latency. Since each endpoint processes information near the source, it can be easier to process data, respond to requests, and produce detailed analytics.

If you've never spent time using a curved monitor, it's easy to assume the design is just a marketing trick. I used to think the same until I started gaming on one myself. Once you're positioned at the ideal distance and angle, the curve subtly pulls you into whatever you're playing or watching in a way that a flat screen doesn't quite match. The viewing experience feels more natural as the display envelopes your view.

[A]s we introduce all photonics networks and this end to end connectivity, extend it into the data center, we're reducing the latency such that it starts to feel much more like it's just another server and another rack in the same data center. We're literally approaching the speed of light in terms of how we transmit signals from end to end and the latency in, say, thousand of kilometers is still measured in a small number of milliseconds

Aerospike officially releases its Rust client, supporting high-throughput, low-latency applications, driven by the language’s growing adoption in various industries.

T-Mobile is the first to unlock L4S across a wireless environment at scale, and we're already seeing the difference it can make...the next chapter of 5G is unfolding and T-Mobile is writing the opening lines.

L4S, or 'Low Latency, Low Loss, Scalable Throughput,' helps high-priority internet packets move with fewer delays, enhancing video calls and cloud gaming experiences.