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As we strategy the tip of 2024 and replicate on the technological developments it introduced, the excitement surrounding synthetic intelligence and high-performance computing continues to overshadow all different web3 developments. As such, this yr noticed an overwhelming buyer demand for AI merchandise and even larger strain on information facilities to ship AI infrastructure to spice up effectivity.
With firms racing to undertake these applied sciences, many have thought-about investing in compute assets like graphic processing unit chips, generally used for coaching AI fashions, blockchains, autonomous automobiles, and different rising functions. However earlier than organizations absolutely embrace the thrilling potential of this {hardware}, we have to rigorously contemplate the complexities and challenges that include them.
It’s true that the promise of AI is certainly attractive. Simply take a look at the stats from OpenAI’s ChatGPT, which garners over 200 million energetic weekly customers. From automating mundane duties to driving subtle analytics, the potential of AI and huge language fashions is huge, and these applied sciences are right here to remain.
The expansion has simply began
Unsurprisingly, organizations are keen to realize a aggressive edge by AI, main main gamers like Meta and Apple to put money into the software program that helps this know-how.
A latest report from Bain & Firm—a administration consulting firm—revealed that AI workloads are anticipated to develop 25 to 35 % yearly over the subsequent a number of years, pushing the AI-related {hardware} and software program market to between $780 billion and $990 billion by 2027.
Nonetheless, investing in compute assets includes extra than simply buying {hardware} or subscribing to a cloud service. If we’re assessing a number of the boundaries to investing on this software program, one of many greatest hurdles traders face is the preliminary price.
The prices of superior GPUs like NVIDIA’s A100 or H100 might be upwards of thousands and thousands of {dollars}, with extra prices for servers, cooling techniques, or the electrical energy wanted to energy the gadgets. This presents a problem for retail traders trying so as to add this know-how to their portfolios, typically limiting funding alternatives to highly effective companies.
Past the hefty price ticket, the {hardware} itself isn’t for the faint of coronary heart. It requires a radical understanding of optimizing and managing these assets successfully. Traders ought to have specialised data within the {hardware} and software program, making technical experience a prerequisite.
Even when affordability and technical challenges weren’t boundaries to investing, a big impediment stays: Provide or lack thereof. The Bain & Firm report reveals that demand for AI elements might develop by 30 % or extra, outpacing provide capabilities.
Whereas investing in compute could seem out of attain, there are new fashions making it extra accessible to on a regular basis traders, permitting them to faucet into the potential of superior computing regardless of present boundaries.
Tokenization as an answer
Via the tokenization of high-compute GPU assets, Exabits gives customers a possibility to develop into stakeholders within the AI compute financial system, permitting them to earn rewards and income without having to handle the complexities of {hardware} possession. With inexpensive entry factors and reward techniques, Exabits permits people to take part within the demand for GPU assets whereas avoiding the dangers related to direct funding, making investing in AI compute extra accessible.
Exabits has coined its enterprise mannequin, “The 4 Seasons of GPU,” emphasizing high quality assurance and consistency throughout its GPU choices. Simply because the 4 Seasons is world famend for its excessive service requirements, “The 4 Seasons of GPU” supplies quality-guaranteed {hardware} that traders can belief. Traders can depend on Exabits for personalised help, much like the lodge’s dedication to buyer satisfaction. As a platform and a enterprise, Exabits goals to supply equal alternatives for traders to take part on this rising AI compute financial system.
As demand for computation rises, so does the urge for food for funding alternatives inside this quickly rising area. With the continuing progress of AI, blockchain, and different tech tendencies, the way forward for GPU growth will rely upon the business’s potential to satisfy these calls for and create alternatives that proceed to broaden entry to this esteemed know-how.