2026 Virtual Machines, Agentic AI and the Mix of Workloads Report Dataset

Linux Foundation Research

doi:10.5281/zenodo.23955887

Published November 9, 2026 | Version v1

Dataset Open

2026 Virtual Machines, Agentic AI and the Mix of Workloads Report Dataset

Linux Foundation Research¹

1. Linux Foundation

Provides the survey instrument, dataset, and frequencies used for the 2026 Virtual Machines, Agentic AI and the Mix of Workloads Report. Please consult the "Introduction to the dataset" pdf document first as it explains the content found in each of the other files. Report available at: https://www.linuxfoundation.org/research/cloud-native-workloads-2026

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2026 Virtual Machines and Workloads Survey Frequencies.pdf

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Name	Size
2026 Virtual Machines and Workloads Full Survey Reference N492.xlsx md5:31fc9f5c20e50bf6026f760a9f9c3ff0	715.2 kB	Download
2026 Virtual Machines and Workloads Survey Frequencies.pdf md5:341ea32ed4b02ff96d5aaa95872e0042	336.0 kB	Preview Download
2026 Virtual Machines and Workloads Survey Questions.pdf md5:da1f90fa4995a6f7431ddd52012f7301	66.5 kB	Preview Download
Introduction to the dataset.pdf md5:16008fa91908facd959ff6377add2613	282.9 kB	Preview Download

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Zenodo

License: Community Data License Agreement – Permissive – Version 2.0

This is the Community Data License Agreement – Permissive, Version 2.0 (the “agreement”). Data Provider(s) and Data Recipient(s) agree as follows: 1. Provision of the Data 1.1. A Data Recipient may use, modify, and share the Data made available by Data Provider(s) under this agreement if that Data Recipient follows the terms of this agreement. 1.2. This agreement does not impose any restriction on a Data Recipient’s use, modification, or sharing of any portions of the Data that are in the public domain or that may be used, modified, or shared under any other legal exception or limitation. 2. Conditions for Sharing Data 2.1. A Data Recipient may share Data, with or without modifications, so long as the Data Recipient makes available the text of this agreement with the shared Data. 3. No Restrictions on Results 3.1. This agreement does not impose any restriction or obligations with respect to the use, modification, or sharing of Results. 4. No Warranty; Limitation of Liability 4.1. All Data Recipients receive the Data subject to the following terms: THE DATA IS PROVIDED ON AN “AS IS” BASIS, WITHOUT REPRESENTATIONS, WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. NO DATA PROVIDER SHALL HAVE ANY LIABILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING WITHOUT LIMITATION LOST PROFITS), HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE DATA OR RESULTS, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 5. Definitions 5.1. “Data” means the material received by a Data Recipient under this agreement. 5.2. “Data Provider” means any person who is the source of Data provided under this agreement and in reliance on a Data Recipient’s agreement to its terms. 5.3. “Data Recipient” means any person who receives Data directly or indirectly from a Data Provider and agrees to the terms of this agreement. 5.4. “Results” means any outcome obtained by computational analysis of Data, including for example machine learning models and models’ insights. Read more

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Created: November 4, 2026
Modified: November 4, 2026

2026 Virtual Machines, Agentic AI and the Mix of Workloads Report Dataset

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2026 Virtual Machines and Workloads Survey Frequencies.pdf

Files (1.4 MB)