Detail version :
Cooler_26.08.24.01
Keyboard_25.07.25.01
VGA_26.08.24.01
Power_26.08.24.01
Mouse_26.08.24.01
SingleLed_26.08.24.01
MBUpdate_26.07.22.01
MBEasyTune_26.08.06.01
MBStorage_26.09.08.01
RGB_Sync_Control_26.08.31.01
rgbMotherboard_26.08.27.01
Notebook_26.08.28.01
Sidekick_26.08.04.01
GCC Main Program_26.08.28.01

Release Highlights
1. Linux Kernel 7.0 Compatibility Issue Resolution
 Provided a solution for users experiencing Linux Kernel 7.0 compatibility issues. Added a downgrade procedure from Linux Kernel 7.0 to 6.17 to the User Manual.
2. Graphics Driver Compatibility Issue Resolution
 Provided a solution for graphics driver compatibility issues. Added instructions for removing and reinstalling the graphics driver to the User Manual.

Release Highlights
1. New User Interface Design
Introduced a completely redesigned UI/UX to provide a more intuitive and seamless user experience.
2. Workflow Optimization
Streamlined operational workflows and simplified user interactions to improve overall efficiency.
3. Database Management System
Added a comprehensive database management system with enhanced data visualization and management capabilities.
4. Fine-tune Benchmark
Introduced Fine-tune Benchmark to monitor and evaluate hardware performance during the fine-tuning process, enabling efficient comparison and analysis of system performance.
5. Fine-tune Validation
Added a Fine-tune Validation mechanism to ensure model quality and improve the reliability of validation results.
6. Fine-tune Report Download
Added support for downloading Fine-tune analysis reports, making it easier to save, review, and share results.
7. Notification Center
Added a notification center that enables users to monitor task progress and track completed tasks in real time, improving visibility and workflow management.

1. Dataset Creator: Automatically transforms unorganized datasets into structured Q&A lists, ready for fine-tuning with optimal efficiency. Supported Languages: English, Simplified Chinese, Traditional Chinese, German, Japanese, Korean;
2. LLM/LMM Fine-tuning: AI TOP Utility now supports the latest 405B-parameter models, enabling both LLMs for text generation and LMMs for generating images and videos;
3. Validation: Helps users quickly validate the quality of fine-tuned models from LLM/LMM fine-tuning;
4. Multimodal RAG: Utilizes the new RAG feature to select the most suitable models for fine-tuning, with in-app validation for instant performance feedback and fast improvements;
5. Model Download: A new feature that automatically downloads Hugging Face models for training and deployment;
6. SSD Mounting: Allows users to automatically mount 1 to 2 NVMe SSDs, offloading training memory to SSDs for improved performance;
7. Multi-node Optimization: Reduces VRAM usage and increases model training speed when using multiple GPU cards or cluster-based training;
8. Model Converter: Converts various model formats (.safetensors, .bin) into the GGUF format using different quantization methods (f32, f16, bf16, or 8-bit) to reduce model size or improve performance, and is optimized for deployment on Linux and Windows (LM-Studio);
9. Inference: Supports real-time inference for state-of-the-art models with different formats (safetensors, GGUF). Remote access via QR code from smartphones, laptops, or tablets - no internet required, ensuring secure and private usage;
10. Machine Learning: Prebuilt ML project templates let users build end-to-end ML workflows with zero coding;
11. Bug Fixes: Resolved various issues to improve stability and performance.
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.

1. Dataset Creator: Automatically transforms unorganized datasets into structured Q&A lists, ready for fine-tuning with optimal efficiency;
2. LLM/LMM Fine-tuning: AI TOP Utility now supports the latest 405B-parameter models, enabling both LLMs for text generation and LMMs for generating images and videos;
3. Validation: Helps users quickly validate the quality of fine-tuned models from LLM/LMM fine-tuning;
4. Multimodal RAG: Utilizes the new RAG feature to select the most suitable models for fine-tuning, with in-app validation for instant performance feedback and fast improvements;
5. Model Download: A new feature that automatically downloads Hugging Face models for training and deployment;
6. SSD Mounting: Allows users to automatically mount 1 to 2 NVMe SSDs, offloading training memory to SSDs for improved performance;
7. Multi-node Optimization: Reduces VRAM usage and increases model training speed when using multiple GPU cards or cluster-based training;
8. Model Converter: Converts various model formats (.safetensors, .bin) into the GGUF format using different quantization methods (f32, f16, bf16, or 8-bit) to reduce model size or improve performance, and is optimized for deployment on Linux and Windows (LM-Studio);
9. Inference: Supports real-time inference for state-of-the-art models with different formats (safetensors, GGUF).　Remote access via QR code from smartphones, laptops, or tablets - no internet required, ensuring secure and private usage;
10. Machine Learning: Prebuilt ML project templates let users build end-to-end ML workflows with zero coding;
11. Bug Fixes: Resolved various issues to improve stability and performance.
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.