-Aarushi Kumar
“Revolution in Artificial Intelligence and Machine Learning is a pure hardware realization with advancements in semiconductor technology, GPUs and the power of next generation computing.”
(Prof.) Dr. Manan Suri, Department of Electrical Engineering, IIT Delhi
Ever since the revolutionary breakthrough in natural language processing named Chat-GPT4, Next-Generation Computing (NGC) has been the talk of the town. When speaking of the next level in computing, generally supercomputers come to mind. However, next generation computing is essentially different from supercomputers and conventional computing too. NGC is defined as high performance computing or the effective and commercial use of quantum and neuromorphic technology. Businesses, along with start-ups in India will be benefited by the introduction of NGC technology as the laws in the country provide cost-arbitrage for companies, abundant pool of skilled graduate engineers and good R&D infrastructure facilities.
NGC has endless opportunities in various significant fields that can totally transform the current scenario of working technology. Large business can ease complex operations with this technology and a rise in market growth will be observed after NGC tech’s commercialization. Quantum systems are highly dependent on quantum based physical interactions. These interactions have a base of qubits as electrical, magnetic and optical. Current acceleration involves the integration of multiple mediums of information travel such as silicon circuits and magnetic tape on chips. The process of digitizing data is increasing day by day. Inversely so is the cost of collecting as well as processing it.
However, the exponential horizon of NGC development extends far beyond any numbered possibilities. In the 11th episode of the Emerging Tech Webinar Series, the esteemed panelists discussed the multitude of business operations and shortcomings of next generation computing.
On the expert panelist we had (Prof.) Dr. Manan Suri, Department of Electrical Engineering, IIT Delhi, Mr. Alman Mukherjee and the session was moderated by Mr. Vinayak Godse, CEO, Data Security Council of India (DSCI).
The discussion was initiated by Mr. Vinayak Godse who put up facts related to current NGC scenario in India. He mentioned the hardware access requirements and relayed open statements regarding the use cases of NGC in data centers. He further mentioned form factor and its importance in connection compatibility. He further steered the conversation to discuss various shortcomings and requirements of adopting next gen technology in various fields.
Mr. Alman Mukherjee, being a data center expert, put forth the idea that NGC is not the competition of edge and cloud computing. It is rather a collaboration of it. He also mentioned the importance of optimum utilization of data centers as per the prediction of AI and ML, trillions of parameters will be required to train a commercialized model by 2030. NGC will also involve the design and manufacturing of semiconductor chips of a monolith like multimodal integrated structure. He perceives the future of NGC based devices to not just have a single size for processing chips. Rather, it will be a combination of various chiplets to precisely adjust the power of devices.
Key takeaways from the webinar are:
- Next generation computing based technology requires co-development of both the software and hardware.
- Cleaning of data is a vital step; datacenters play a major role in it.
- IP is detrimental to development and so is rapid prototyping with hardware enhancement.
- Supply chain management plays a key role in NGC development.
- Developments in swift mathematical computation, AI and ML have only been made possible because of advancements in the semiconductor industry.
(Prof.) Dr. Manan Suri, whose expertise lies in electrical hardware development, mentioned the shortcomings of breakthroughs in physics, where the semiconductor materials follow a lithographic pattern. To create quantum computers, that barrier of physics must be overcome, systematically. Microprocessors, edge accelerators, custom architectures are some relevant fields which rely on NGC and nanotechnology. End users play a major role in standardizing form factors. Moreover, ‘semiconductor industry is responding at a very high speed and at a very short turnaround time, thus, facilitating AI’ says Dr. Manan. Semiconductor fab only utilizes logical materials, therefore making quantum a different approach altogether. He also quoted that IPs and standards have reached a certain level of achievement only because of its open-source approach followed by millions of input via volunteer-based contribution.
The panelist further discussed in depth the potential utility of the Indian government initiatives, its strong diplomatic partnership across the globe and the promptness along with supportive nature of the government toward next generation computing, that too with defined objective. The guests also dwelled upon the fact that not just mobility, but also ease of use is also a deciding factor in NGC tech introduction and adoption. It is the ease of use and increased accessibility that iterative algorithms can now be possibly trained in negligible time facilitated by enlarged chip capacity and processing.
Indeed, the future of NGC is incredibly promising and has an extremely disruptive nature. As technology continues to revolutionize, the commercial use-cases of NGC keeps growing. We can expect to see innovation in this field and solutions that have the potential to transform industries and businesses.
To grab further information on NGC as a mega-technology, watch the entire webinar here (link).
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