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A virtual
private network (VPN) is programming that creates a safe and encrypted
connection over a less secure network, such as the internet. VPNs were
originally developed to provide branch office employees with safe access to
corporate applications and data. Today, VPNs are often used by remote workers
and business travelers who require access to sites that are geographically
restricted. The two most common types of VPNs are remote access VPNs and
site-to-site VPNs.
Remote access VPN
Remote access VPN
clients connect to a VPN gateway on the organization's network. The gateway
requires the device to authenticate its identity before granting access to
internal network resources such as file servers, printers and intranets.
This type of VPN
usually relies on either IP Security (IP-sec) or Secure Sockets Layer (SSL) to
secure the connection, although SSL VPNs are often focused on supplying
secure access to a single application rather than to the entire internal
network. Some VPNs provide Layer 2 access to the target network; these
require a tunneling protocol like the Point-to-Point Tunneling Protocol or
the Layer 2 Tunneling Protocol running across the base IP-sec connection. In
addition to IP-sec and SSL, other protocols used to secure VPN connectivity
and encrypt data are Transport Layer Security and OpenVPN.
Site-to-site VPN
In contrast, a
site-to-site VPN uses a gateway device to connect an entire network in one
location to a network in another location. End-node devices in the remote
location do not need VPN clients because the gateway handles the connection.
Most site-to-site
VPNs connecting over the internet use IP-sec. It is also common for them to
use carrier MPLS clouds rather than the public internet as the transport for
site-to-site VPNs. Here, too, it is possible to have either Layer 3
connectivity (MPLS IP VPN) or Layer 2 (virtual private LAN service) running
across the base transport.
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A graphics processing unit (GPU) is a computer chip that performs rapid mathematical calculations, primarily for the purpose of rendering images. A GPU may be found integrated with a central processing unit (CPU) on the same circuit, on a graphics card or in the motherboard of a personal computer or server. In the early days of computing, the CPU performed these calculations. As more graphics-intensive applications such as AutoCAD were developed; however, their demands put strain on the CPU and degraded performance. GPUs came about as a way to offload those tasks from CPUs, freeing up their processing power. NVIDIA, AMD, Intel and ARM are some of the major players in the GPU market. GPU vs. CPU A graphics processing unit is able to render images more quickly than a central processing unit because of its parallel processing architecture, which allows it to perform multiple calculations at the same time. A single CPU does not have this capability, although multi...
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