Beyond cryptocurrencies, Blockchain technology is gradually getting the recognition it deserves as a disruptive force of epic proportions.
Blockchain made its foray into the limelight with cryptocurrency being offered as decentralized money. Beyond decentralized money, many industries such as real estate, supply chain, precious metals, and entertainment are witnessing the disruptive power of Blockchain technology.
Blockchain technology is starting to change the game for cloud computing companies by providing a solution to access computing resources without owning such resources in the same way that Uber and AirBnB’s business model allows access to transportation and assets without actually owning them.
Beyond cryptocurrencies, Tatau brings decentralized computing for AI
Tatau, a Blockchain-based, distributed computing platform is bringing the disruptive power of Blockchain technology to the area of supercomputing for artificial intelligence. News recently broke that Tatau is collaborating with FaceMe to help the latter leverage distributed computing to increase the speed and scope of its offerings exponentially.
In the words of Andrew Fraser, Co-Founder & CEO of Tatau “FaceMe is a great partner for Tatau because it is pushing new boundaries in enterprise AI, and has a large appetite for GPU-based compute. For FaceMe, more power equates to faster development of higher-performing models, and this builds its commercial advantage in what is already one of the fastest-growing and most competitive fields of technology.”
FaceMe has built a strong brand recognition as one of the top companies pioneering AI-enabled digital humans for customer service. FaceMe operates within a nascent industry with huge potential to change the direction of the global economy. The industry however requires a lot of computing resources to deliver on its promise. FaceMe is causing the industry to rethink the ideas behind machine recognition and birthing a new generation of digital customer service humanoids that can respond to external stimuli with hyper-realistic behavioral responses.
The huge computing costs required for R&D in AI, machine learning, deep neural networks, and IoT often make the barriers to entry high. Even for incumbents in the space, the costs of setting up the computing infrastructure necessary often hamper the rate of growth, development, getting to market, and hitting profitability. Interestingly, traditional cloud computing companies such as Amazon’s AWS, Microsoft Axure, and Google Cloud have maintained firm control of the computing industry.
Unfortunately, these traditional players in the cloud computing space have a monopoly of sorts that enables them to use the pricing of their cloud computing services as a lever to control the market. More so, their business models are not outcome-oriented and companies that need cloud computing services are forced to buy predefined packages irrespective of how much computing resources they actually consume.
The problems and their solutions
The more worrisome challenge is that there is a fast-rising demand for computing resources necessary to unlock the mass-market application and adoption of artificial intelligence. Tech companies working in the AI space can’t afford to take up the responsibility of building more traditional CPU-based data centers to meet the rising growth in AI. In reality, the CPUs in these centers will still be inadequate to cope with the exponential growth of artificial intelligence, video rendering, and predictive analytics over the next decade.
Tatau’s key solution is to deliver an enterprise-focused distributed computing platform to enable exponential growth in AI computation. Tatua is promoting GPU-based computing for increased speed and less energy. Its blockchain-powered model enables anyone to buy and sell computing capacity on its decentralized ecosystem. For one, computational Nodes on the Tatau Platform will be able to use consumer GPUs to fit models that are 10 times larger than what current CPUs can process. For a fraction of the cost, Tatau will achieve the same results in terms of memory usage using such an AI distribution platform.
Tatau’s collaboration with FaceMe will see it supply computational resources to the AI company by harnessing the GPUs of stakeholders who have invested in high-performance computing operations such as cryptocurrency miners. Fraser also notes that the collaboration will potentially trigger “the next wave of growth in the AI industry, and Tatau’s cost-effective supercomputer for AI model training offers a template for accelerated innovation across a wide cross-section of the AI industry.”