AI Infrastructure plays a key role in the speed and cost-competitiveness of developing and deploying advanced AI models. The current demand for powerful AI infrastructure for model training is driven by the emergence of generative AI and foundational models, where on occasion thousands of GPUs must cooperate on a single training job for the model to be trained in a reasonable time. Delivering efficient and high-performing AI training requires an end-to-end solution that combines hardware, software and holistic telemetry to cater for multiple types of AI workloads. In this report, we describe IBM's hybrid cloud infrastructure that powers our generative AI model development. This infrastructure includes (1) Vela: an AI-optimized supercomputing capability directly integrated into the IBM Cloud, delivering scalable, dynamic, multi-tenant and geographically distributed infrastructure for large-scale model training and other AI workflow steps and (2) Blue Vela: a large-scale, purpose-built, on-premises hosting environment that is optimized to support our largest and most ambitious AI model training tasks. Vela provides IBM with the dual benefit of high performance for internal use along with the flexibility to adapt to an evolving commercial landscape. Blue Vela provides us with the benefits of rapid development of our largest and most ambitious models, as well as future-proofing against the evolving model landscape in the industry. Taken together, they provide IBM with the ability to rapidly innovate in the development of both AI models and commercial offerings.

Alex Lightman is the first columnist for ICO Crowd magazine, with 35 articles, an Amazon.com He has authored 14 crypto white papers. He has served as an advisor to 20 Blockchain companies and speaks around the world on "solving big problems with Blockchain, AI and IoT", "CryptoHistory 2009-2050", and "Visionary Blockchain Projects". Lightman was the founder and CEO of Token Communities, and became CTO after the acquisition and name change to Sakthi Global. He leads Kingsland's Executive Education program and the 16 hour two day Blockchain program he authored and teaches has received 100% 5 out of 5 star ratings from participants.

A recent study by Fountech has revealed that two-thirds of adults living in the UK are concerned that the Artificial Intelligence industry will leave them redundant and jobless. This statistic should come as no surprise, as anxiety about AI with regards to the job market has been happening for decades now. While people were able to ignore their worries in the past and simply brush it off, doing so is getting harder by the year as AI continues to make strides. Recent developments in areas such as reading comprehension and autonomous driving make it tougher than ever to avoid thinking about AI. While we are still far from having a machine with human-like intelligence, we certainly do have programs and tools which can perform specific tasks with a level of efficiency beyond that of many people.

As revolutionary as blockchain technology is, it is no secret that a number of flaws remain present. Notably, a number of existing blockchains are still unable to reach consensus on how to improve speed and scalability, without compromising on security and decentralization. While the technology does offer a number of key benefits, the underlying network is arguably not fit for purpose. With that being said, we seek to explore whether emerging technologies such as artificial intelligence (AI) can enhance the capabilities of existing blockchain frameworks. Whether it's with respect to manufacturing processes, the customer experience, agriculture or health care – the benefits of AI are practically endless.