Examine Finds Enterprise AI Adoption Nonetheless in Exploratory Part, However, Corporations Deploying GPU Investments Elsewhere, Reaping Surprising ROI
Enterprise AI adoption continues to be in its exploration phases, however firms are discovering revolutionary methods to leverage their GPU investments past AI functions and reaping good outcomes, in line with a brand new report from Hammerspace, the corporate orchestrating the subsequent knowledge cycle.
The “State of the Subsequent Knowledge Cycle: How do you GPU?” Report supplies distinctive insights into the present panorama of enterprise AI and GPU utilization, providing a uncommon glimpse into the opinions and experiences of enterprise AI prospects. The report is predicated on an evaluation of almost 17,000 digital conversations amongst roughly 200 trade leaders and executives throughout platforms together with LinkedIn, Twitter, Reddit, GitHub and Discord.
“The subsequent wave of innovation is being pushed by how firms activate their unstructured knowledge,” stated David Flynn, founder and CEO of Hammerspace. “Our analysis exhibits that the GPUs many enterprises initially bought for AI tasks have gotten the Swiss Military knife of information processing. This infrastructure is unlocking worth in methods we by no means anticipated throughout numerous sectors.”
AI Actuality Test: Conversations over Implementation Signifies Exploration
- Public conversations about AI have surged 383% since 2022
- 60% of these analyzed targeted on thought management, whereas solely a 3rd (33%) targeted on innovation
- 59% of innovation-related discussions concentrate on enhancing productiveness
- Solely 18% of innovation conversations are devoted to attaining higher AI outcomes
- Ethics accounts for one-third of AI discussions, with 51% of the ethics conversations regarding coverage and greatest practices
A Not-so-Secret Weapon Displaying Up in Surprising Methods: GPUs
Regardless of important investments in AI infrastructure, together with monumental investments in highly effective GPU chips, firms have struggled to place them to make use of on AI workloads and used them on different better-understood use circumstances. The bought GPUs initially meant for AI tasks are additionally getting used for all kinds of functions, together with expediting current huge knowledge and analytics tasks.
The use-cases span industries together with huge tech, scientific analysis, and media and leisure. The Hammerspace report options case research from Meta Platforms, Los Alamos Nationwide Laboratory (LANL) and a number one streaming media and leisure content material creator, detailing their distinctive makes use of of GPUs to do all the pieces from optimizing video streaming, constructing LLMs and processing knowledge crucial for pandemic preparedness and local weather change mitigation.
“This development underscores the crucial want for versatile knowledge orchestration within the fashionable enterprise. As GPUs evolve into versatile instruments, firms should be capable to effectively transfer and course of their knowledge, no matter the place it resides or what {hardware} is getting used. The companies that may do that successfully would be the ones main the cost in innovation,” added Flynn.
To learn extra about The State of The Subsequent Knowledge Cycle and the way these firms use GPUs, obtain the complete report right here.
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