Merge pull request #948 from ArmDeveloperEcosystem/main

Removed neonephos sub components, added OVH Cloud and few other packages along with windows packages

Author: ranimandepudi

content/linux/opensource_packages/ampere-optimized-llama.md

@@ -17,6 +17,8 @@ optional_info:
         official_docs: https://github.com/AmpereComputingAI/llama.cpp#starting-container
         arm_content:
         partner_content:
+          - display_name: Oracle OCI
+            url: https://blogs.oracle.com/ai-and-datascience/llm-inferencing-armbased-oci-ampere-a1-compute
     arm_recommended_minimum_version:
         version_number:
         release_date:

content/linux/opensource_packages/buildah.md

@@ -0,0 +1,31 @@
+---
+name: Buildah
+category: Containers and Orchestration
+description: Buildah is a command-line tool for creating and managing container images by building from scratch or Dockerfiles, manipulating container filesystems, and handling images in OCI or Docker formats.
+download_url: https://quay.io/repository/buildah/stable?tab=tags
+works_on_arm: true
+supported_minimum_version:
+    version_number: 1.18.0
+    release_date: 2023/09/02
+ 
+ 
+optional_info:
+    homepage_url: https://buildah.io/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        official_docs: https://github.com/containers/buildah/blob/main/install.md
+        arm_content:
+        partner_content:
+    arm_recommended_minimum_version:
+        version_number: 1.40.0
+        release_date: 2025/04/21
+        reference_content: https://github.com/containers/buildah/releases/tag/v1.40.0
+        rationale: In this release, conformance tests and built-in args on Arm64 were fixed.
+ 
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Release notes for the initial Linux/Arm64 support aren't available. Linux/Arm64 container images are available from version 1.18.0 onwards at quay.io.
+ 
+---

content/linux/opensource_packages/fastai.md

@@ -0,0 +1,31 @@
+---
+name: FastAI
+category: AI/ML
+description: FastAI is a deep learning library that provides high-level components for quickly achieving state-of-the-art results and low-level building blocks for developing custom approaches, built on top of PyTorch.
+download_url: https://pypi.org/project/fastai/#history
+works_on_arm: true
+supported_minimum_version:
+    version_number: 1.0.35
+    release_date: 2018/12/09
+ 
+ 
+optional_info:
+    homepage_url: https://docs.fast.ai/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        official_docs: https://docs.fast.ai/#installing
+        arm_content:
+        partner_content:
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+        reference_content:
+        rationale:
+ 
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Release notes for the initial Linux/Arm64 support isn't available. Version 1.0.35 can be installed via pip and python 3.7 on Ubuntu Arm64 server. Prior versions have outdated dependency issues during installation.
+ 
+---