1. Checksum: 44BD
2. Update AMD AGESA 1.3.0.1e
3. Optimized performance for AMD EXPO™ Technology: Featuring Ultra Low Latency
4. Enhance CXSH (CXMT) chip-based memory compatibility
5. Update to mitigate security vulnerabilities

1. Checksum: 5813
2. Update AMD AGESA 1.3.0.1
3. AMD EXPO™ Technology: Featuring Ultra Low Latency support

1. Checksum : 181F
2. Update AMD AGESA 1.2.8.0 for Ryzen 9 9950X3D2 support
3. Improve system compatibility for BitLocker when using a dGPU card and LED lighting function
4. Add mixed mode option for DDR vulnerability issue

1. Checksum : 4D37
2. Improve system compatibility

1. Checksum : ECFB
2. Update AMD AGESA 1.2.0.3g
3. Enhance system stability and performance
4. Enhance memory compatibility
5. Added support for AI TOP Utility v4.1.1
6. Improves platform security by making Secure Boot enabled as system default

1. Checksum : 3A90
2. Update AMD AGESA 1.2.0.3e PatchA for new CPU support
3. Fix TPM2.0’s out-of-bounds read vulnerability (CVE-2025-2884)
4. Fix AMD CPU microcode signature verification vulnerability (CVE-2024-36347), add Ryzen 9000 series CPU support
5. Enhance memory compatibility

1. Checksum : 395F
2. Update AMD AGESA 1.2.0.3b PatchC
3. Enhance memory compatibility

1. Checksum : 00AA
2. Add 64Gx4 and 48Gx4 DIMM support for Ryzen 9000 CPU

1. Checksum : F463
2. Update AMD AGESA 1.2.0.3a PatchA. Please also update AMD Chipset Driver to 7.01.08.129 or later version to improve gaming performance for 2CCD Ryzen 7000 & 9000 CPUs
3. Optimized memory compatibility
4. Enhanced PCIe compatibility
5. Fix AMD CPU microcode signature verification vulnerability (CVE-2024-36347) for Ryzen 8000, 7000 series CPU

1. Checksum : 90E4
2. Update AMD AGESA 1.2.0.2b

1. Checksum : AF38
2. AMD AGESA 1.2.0.1a with one click for TDP 65W to 105W to increase CPU performance
3. Fix Sinkclose Vulnerability of AMD processors (SMM Lock Bypass)

1. Checksum : 96C8
2. AMD AGESA 1.2.0.1a with one click for TDP 65W to 105W to increase CPU performance
3. Fix Sinkclose Vulnerability of AMD processors (SMM Lock Bypass)

Detail version :
Cooler_26.08.24.01
Keyboard_26.10.08.01
VGA_26.10.13.01
Power_26.08.24.01
Mouse_26.10.05.01
SingleLed_26.10.08.01
MBUpdate_26.10.06.01
MBEasyTune_26.10.08.01
MBStorage_26.09.22.01
RGB_Sync_Control_26.10.14.01
rgbMotherboard_26.10.14.01
Notebook_26.08.28.01
Sidekick_26.10.21.01
GCC Main Program_26.10.21.01

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 Note:
BugFix: Fix Chassis RGB lighting compatibility issue with COSAIR, Cooler Master, BitsPower, Razer, Lian-Li, 九州風神, TT(Thermaltake), 先馬, Valkyrie, 鈦坦, 雅浚, 金河田
Fix Memory modules RGB lighting compatibility issue with XPG Prime, Acer Predator, 金百達, 光威/阿斯加特.
Addresses I2C conflict issue. Please close any software accessing hardware read / write functions before proceeding with the flashing process.
Fix the issue where the armor LED didn’t function on the Z790 AORUS MASTER with firmware version 1.9.6 and later (5702 MCU1 firmware)
Migrated privilege escalation method from mshta to PowerShell to improve compatibility with Windows 11 25H2 and subsequent security updates.
Product Line Support Notices:
Intel 700 series and AMD AM5 600 series and including "H610M D3H DDR4"and "H610M GAMING WF DDR4"

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

GIGABYTE IT5711 RGB lighting controller firmware upgrade package
Release Note:

1. Update IT5711 FW for AM5 without EC models
2. Improve Q-Flash Plus compatibility with AM4 CPU

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.