Detail version :
Cooler_26.06.11.01
Keyboard_25.07.25.01
VGA_26.07.22.01
Power_26.06.11.01
Mouse_26.06.12.01
SingleLed_26.06.11.01
MBUpdate_26.06.29.01
MBEasyTune_26.07.21.01
MBStorage_26.07.03.01
RGB_Sync_Control_26.03.25.01
rgbMotherboard_26.03.25.01
Notebook_26.06.23.01
Sidekick_25.09.30.01
GCC Main Program_26.06.29.01

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 .Upgrade system to Ubuntu 24.04.1
2 . Update ROCm drivers to version 7.1
3 . Upgrade NVIDIA CUDA toolkit to 13.0
4 . Add support for AMD R9700 GPU

1. Newly supports certain legacy GIGABYTE motherboards using the latest BIOS.
2. LLM/LMM Fine-tuning: Added support for Qwen-2.5-VL training.
3. Validation: Feature removed, replaced by Inference.
4. Multimodal RAG: Optimized RAG functionality, improved document library loading issues.
5. Inference: Fixed text-to-text LoRA model loading program, added LoRA model mounting feature for text-to-image.
6. Model Download: Focused on GIGABYTE tested and verified models, each model is provided with the link to its Hugging Face repo, and disclose error messages.
7. Machine Learning: Changed to the most recommended package for each topic.
📌Available on Linux (Ubuntu 24.04.2 LTS) and WSL2 (Ubuntu 24.04.2 LTS) on Windows 11.
📌Please update to the latest BIOS version for AI TOP Motherboards to ensure the stable use.

1. Support other old GIGABYTE motherboards with the newest BIOS;
2. Dataset Creator: Automatically transforms unorganized datasets into structured Q&A lists, ready for fine-tuning with optimal efficiency.
Support Languages: English, S. Chinese, T. Chinese, German, Japanese, Korean;
3. 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;
4. Validation: Helps users quickly validate the quality of fine-tuned models from LLM/LMM fine-tuning;
5. 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;
6. Model Download: A new feature that automatically downloads Hugging Face models for training and deployment;
7. SSD Mounting: Allows users to automatically mount 1 to 2 NVMe SSDs, offloading training memory to SSDs for improved performance;
8. Multi-node Optimization: Reduces VRAM usage and increases model training speed when using multiple GPU cards or cluster-based training;
9. 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);
10. 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;
11. Machine Learning: Prebuilt ML project templates let users build end-to-end ML workflows with zero coding;
12. 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. 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.

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. 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. New GPU Support: Added compatibility for the NVIDIA Gigabyte GeForce RTX 50 series;
2. Dashboard Enhancement: Introduced CPU and GPU temperature monitoring;
3. Bug Fixes & Improvements: Resolved various issues to enhance stability and performance;
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.

1. Download Model: A new feature that helps users automatically download Hugging Face models for training and deployment;
2. Mount SSD: A new feature that allows users to automatically mount 1~2 NVMe SSDs to offload training memory to SSDs;
3. Multinode Optimization: A new feature to reduce VRAM usage and increase model training speed when using multiple GPUs cards or clustering training;
4. Bug Fixes: Resolved various issues to improve stability and performance.
*Please update to the latest BIOS version for AI TOP Motherboards to ensure regular use.

1. Update newest BIOS of AI TOP motherboards for stable version.
2. Key Features: Dataset Creator, LLM/LMM Finetuning, Validations, Multimodal RAG
3. Fix bugs.