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Add musl and nemo files
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Signed-off-by: odidev <[email protected]>
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odidev committed Sep 26, 2024
1 parent 198d5cf commit 9d0150e
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29 changes: 29 additions & 0 deletions content/opensource_packages/musl.md
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---
name: Musl
category: Runtimes
description: Musl is a lightweight and efficient C standard library implementation designed for performance and simplicity, supporting static linking and various architectures.
download_url: https://github.com/kraj/musl/tags
works_on_arm: true
supported_minimum_version:
version_number: 1.1.7
release_date: 2015/03/19

optional_info:
homepage_url: https://www.musl-libc.org/
support_caveats:
alternative_options:
getting_started_resources:
arm_content:
partner_content:
official_docs: https://www.musl-libc.org/how.html
arm_recommended_minimum_version:
version_number:
release_date:


optional_hidden_info:
release_notes__supported_minimum:
release_notes__recommended_minimum:
other_info: Linux/ARM64 release notes are not available. Installation and testing are done manually using the released archive [tag](https://github.com/kraj/musl/releases/tag/v1.1.7).

---
29 changes: 29 additions & 0 deletions content/opensource_packages/nemo.md
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---
name: Neural Modules (Nemo)
category: AI/ML
description: NVIDIA NeMo is a flexible AI framework designed for researchers and developers to build and fine-tune models in areas like language, speech, and vision.
download_url: https://github.com/NVIDIA/NeMo/releases
works_on_arm: true
supported_minimum_version:
version_number: v1.0.0
release_date: 2021/06/04

optional_info:
homepage_url: https://www.nvidia.com/en-in/ai-data-science/products/nemo/
support_caveats:
alternative_options:
getting_started_resources:
arm_content:
partner_content:
official_docs: https://docs.nvidia.com/nemo-framework/user-guide/latest/getting-started.html
arm_recommended_minimum_version:
version_number:
release_date:


optional_hidden_info:
release_notes__supported_minimum:
release_notes__recommended_minimum:
other_info: Linux/ARM64 release notes are not available. Installation and testing are done manually using the released tar [file](https://github.com/NVIDIA/NeMo/releases/tag/v1.1.0).

---

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