How AI will change network infrastructure

Artificial Intelligence

How AI will change network infrastructure

Artificial Intelligence

Since the advancement of the technologies like AI and machine learning, IT leaders and innovators are eyeing on its potential to change the landscape of IT. IT companies in Virginia are already moving forward in line with offering the services of AI to their clients. To simply put, AI technology refers to the ability of a machine to make predictions and analyze the business environment based on the past business operations.

AI technology is widely used by businesses to analyze the market and make future predictions, but it has impacted network infrastructure by large. But how AI would transform computer network solutions as we know today? How will it affect the capabilities of the traditional networking system? The answer is here:

As per a report from Tractica, AI technology will create a boom in the sale of hardware which will take the market from $3.5 billion to $115 billion in the coming years. The technology is more likely to accelerate the production of computing devices, but storage and networking devices will witness significant innovations. These innovations will result due to the need to optimize the end-to-end workload of the AI. With applications and software becoming more capable of assigning resources to themselves, another possibility is that the hardware will become more specialized in performing individual AI workload.

With business competition becoming fierce and stringent, speed is a significant factor that determines the success and failure of a company. Cleary, at this age of technology, no business can afford latency. Though most organizations and companies are increasing the bandwidth to 100 Gbps, wider pipes will not solve the issue of AI performance. Analytics workloads produced in today’s generation consist of tiny files that need network adapters that are capable of meeting huge number of I/O requests. IT firms are working towards addressing these needs by crafting an Ethernet fabric technology that uses Intel’s DPDK to run twice the amount of information.

AI workloads are most likely to create a rise in the field of FPGAs on the network. Xilinx, an IT company, recently introduced a new ACA program called Versal. This program is capable of combining interface, software tools, and memory to identify and address workloads of AI, IoT and the likes. It has been developed with the idea to assist the entire IT structure or architecture under the framework. It utilizes the FPGA’s operating abilities to optimize the IT environment after the hardware has been installed.

This clearly emphasizes the fact that the network must be fast and more dynamic. It should be more adaptable to changes. Besides this, AI needs to be optimized across IT resources. If the network is not capable of connecting with the AI and address the challenges efficiently, the system will stop functioning correctly. But most IT innovators are concerned about how AI will assist the network and make it more intelligent, autonomous and secure.