An introduction to six types of VPN software

A VPN is simply an encrypted connection between two computers, each side running VPN software. The two sides, however, are not equal.

The software that you, as the user of a VPN service deal with, is known as the VPN client. The software run by a VPN company is a VPN server. The encrypted connection always starts with a VPN client making a request to a VPN server.

There are many different flavors of VPN connections, each with its own corresponding client and server software. The most popular flavors are probably L2TP/IPsec, OpenVPN, IKEv2 and PPTP.

Some VPN providers support only one flavor, others are much more flexible. Astrill, for example, supports OpenWeb, OpenVPN, PPTP, L2TP, Cisco IPSec, IKEv2, SSTP, StealthVPN and RouterPro VPN. At the other extreme, OVPN, as their name implies, only supports OpenVPN.

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Computerworld

Lenovo’s 14-inch Flex 4 is $280 right now

Now that spring has sprung, retailers are hyping their weekly sales with supposedly deeper discounts and big savings events. Some of those deals aren’t quite what they claim to be, but there are still some pretty good buys.

Today, Best Buy is selling Lenovo’s Flex 4 convertible laptop for $ 280 instead of the usual $ 399. This clamshell features a 14-inch touchscreen display with 1366-by-768 resolution, 4GB RAM, and a 500GB hard drive. The processor is a Skylake-era 2.10GHz, dual-core Intel Pentium 4405U with Intel HD Graphics 510. You also get one USB 2.0 and two USB 3.0 ports, HDMI out, a media card reader, Ethernet, 802.11ac Wi-Fi, a webcam, and Bluetooth.

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PCWorld News

Google says its AI chips smoke CPUs, GPUs in performance tests

Four years ago, Google was faced with a conundrum: if all its users hit its voice recognition services for three minutes a day, the company would need to double the number of data centers just to handle all of the requests to the machine learning system powering those services.

Rather than buy a bunch of new real estate and servers just for that purpose, the company embarked on a journey to create dedicated hardware for running machine- learning applications like voice recognition.

The result was the Tensor Processing Unit (TPU), a chip that is designed to accelerate the inference stage of deep neural networks. Google published a paper on Wednesday laying out the performance gains the company saw over comparable CPUs and GPUs, both in terms of raw power and the performance per watt of power consumed.

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