Examine Finds Enterprise AI Adoption Nonetheless in Exploratory Part, However, Firms Deploying GPU Investments Elsewhere, Reaping Sudden ROI
Enterprise AI adoption continues to be in its exploration phases, however corporations are discovering revolutionary methods to leverage their GPU investments past AI purposes 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 offers 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 relies on an evaluation of practically 17,000 digital conversations amongst roughly 200 business 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 knowledge,” stated David Flynn, founder and CEO of Hammerspace. “Our analysis reveals that the GPUs many enterprises initially bought for AI tasks have gotten the Swiss Military knife of knowledge 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 centered on thought management, whereas solely a 3rd (33%) centered 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 finest practices
A Not-so-Secret Weapon Displaying Up in Sudden Methods: GPUs
Regardless of vital 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 supposed for AI tasks are additionally getting used for all kinds of purposes, together with expediting present massive knowledge and analytics tasks.
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 all the things from optimizing video streaming, constructing LLMs and processing knowledge important for pandemic preparedness and local weather change mitigation.
“This development underscores the important want for versatile knowledge orchestration within the fashionable enterprise. As GPUs evolve into versatile instruments, corporations should be capable of 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 corporations use GPUs, obtain the complete report right here.
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