Examine Finds Enterprise AI Adoption Nonetheless in Exploratory Section, However, Corporations Deploying GPU Investments Elsewhere, Reaping Surprising ROI
Enterprise AI adoption remains to be in its exploration phases, however corporations are discovering modern methods to leverage their GPU investments past AI purposes and reaping good outcomes, in accordance with a brand new report from Hammerspace, the corporate orchestrating the subsequent information cycle.
The “State of the Next Data 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 practically 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 corporations activate their unstructured information,” mentioned David Flynn, founder and CEO of Hammerspace. “Our analysis reveals that the GPUs many enterprises initially bought for AI initiatives 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 Verify: 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 deal with enhancing productiveness
- Solely 18% of innovation conversations are devoted to reaching 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 Exhibiting Up in Surprising Methods: GPUs
Regardless of important investments in AI infrastructure, together with huge investments in highly effective GPU chips, corporations have struggled to place them to make use of on AI workloads and used them on different better-understood use instances. The bought GPUs initially meant for AI initiatives are additionally getting used for all kinds of purposes, together with expediting current massive information and analytics initiatives.
The use-cases span industries together with massive 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 every part from optimizing video streaming, constructing LLMs and processing information vital for pandemic preparedness and local weather change mitigation.
“This development underscores the vital want for versatile information orchestration within the fashionable enterprise. As GPUs evolve into versatile instruments, corporations should be capable to effectively transfer and course of their information, 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 corporations use GPUs, obtain the total report here.
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