Summary
The advent of Generative AI (Gen AI) presents remarkable opportunities for enterprises, yet significant groundwork must be laid to harness its full capabilities. A crucial initial task is the collaboration among technology firms, which is essential for providing the necessary computational power. Encouragingly, key players in the tech industry are forming alliances to expedite this process. In a notable development at the end of August, IBM and Intel publicly announced a global partnership aimed at deploying Intel Gaudi 3 AI accelerators as a service on the IBM Cloud. Scheduled for availability in early 2025, IBM Cloud with Gaudi 3 will cater to both hybrid and on-premise environments, thereby enhancing accessibility for diverse enterprises. This partnership is not new; IBM and Intel have a long-standing collaborative history, dating back to influential projects such as the IBM PC development and the advancement of enterprise AI solutions utilizing Gaudi technology. The implications of this recent announcement for businesses are substantial. By establishing a more cost-effective framework, companies across various sectors will be empowered to leverage AI technologies and drive innovation, all while ensuring security and resilience. Furthermore, the collaboration aims to improve availability, performance, energy efficiency, and cost-effectiveness in AI deployment. Intel and IBM strive to lower the total cost of ownership for organizations seeking to scale AI, simultaneously enhancing overall performance. The two companies plan to achieve these objectives through their collaborative efforts. Gaudi 3 will be integrated with the 5th Generation Xeon, thus supporting enterprise-level AI workloads in both cloud-based and data center environments. This integration promises to provide customers with greater visibility and control over their software stack, consequently streamlining workload and application management. For generative AI inferencing workloads, IBM intends to incorporate support for Gaudi 3 within its watsonx AI and data platform. This enhancement will provide watsonx clients with additional AI infrastructure resources, facilitating the scaling of AI workloads across hybrid cloud environments while optimizing pricing and performance for model inferencing. Looking ahead, the proliferation of Gen AI seems inevitable. Currently, Gen AI excels at aggregating and processing data input by users. However, there is an urgent necessity for AI systems to become more sophisticated. Herein lies the potential for technology firms and machine learning initiatives to enhance AI capabilities, thereby alleviating the burdens placed on human operators. According to Fortune Business Insights, the global generative AI market reached a valuation of $67.18 billion in 2024 and is projected to soar to $967.65 billion by 2032, reflecting a staggering growth rate of 39.6%. Yet, it is imperative to recognize that realizing this projected value hinges on ongoing advancements in technology and its adoption by businesses. In conclusion, while Gen AI has undeniably arrived on the commercial scene, significant strides remain to fully unlock its potential in the business realm. Those interested in further insights regarding artificial intelligence are encouraged to follow my new Substack account for updated perspectives. For those wishing to share their thoughts on this article, please utilize hashtags such as #IoT #sustainability #AI #5G #cloud #edge #futureofwork #digitaltransformation #green #ecosystem #environmental #circularworld #GenAI.
Original Source: connectedworld.com
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