GIGABYTE TECHNOLOGY Co. Ltd, a leading manufacturer of motherboards, graphics cards, and hardware solutions, released the GIGABYTE exclusive groundbreaking AI TOP Utility. With reinvented workflows, user-friendly interface, and real-time progress monitoring, AI TOP Utility provides a reinventing touch of local AI model training and fine-tuning. It features a variety of groundbreaking technologies that can be easily adapted by beginners or experts, for most common open-source LLMs, in anyplace even on your desk.

GIGABYTE AI TOP is the all-round solution for local AI Model Fine-tuning. Running local AI training and fine-tuning on sensitive data can relatively provide greater privacy and security with maximum flexibility and real-time adjustment. Collocating with GIGABYTE AI TOP hardware and AI TOP Utility, the common constraints of GPU VRAM insufficiency when trying to execute AI fine-tuning locally can be addressed. By GIGABYTE AI TOP series motherboard, PSU, and SSD, as well as GIGABYTE graphics cards lineup covering NVIDIA GeForce RTX 40 Series, AMD Radeon RX 7900 Series, Radeon Pro W7900 and W7800 series, the size of open-source LLM fine-tuning can now reach up to 236B and more.

GIGABYTE TECHNOLOGY Co. Ltd, a leading manufacturer of premium gaming hardware, today launched the cutting-edge AMD Radeon PRO W7000 series workstation graphics cards, including the flagship GIGABYTE Radeon PRO W7900 Dual Slot AI TOP 48G as well as the GIGABYTE Radeon PRO W7800 AI TOP 32G. Powered by AMD RDNA 3 architecture, these graphics cards offer a massive 48 GB and 32 GB of GDDR6 memory, respectively, delivering cutting-edge performance and exceptional experiences for workstation professionals, creators and AI developers.⁠⁠

GIGABYTE stands as the AMD professional graphics partner in the market, with a proven ability to design and manufacture the entire Radeon PRO series. Our dedication to quality products, unwavering business commitment, and comprehensive customer service empower us to deliver professional-grade GPU solutions, expanding user's choices in workstation and AI computing.

AMD has unveiled the latest release of its open software, AMD ROCm 6.1.3, marking the next step in its strategy to make ROCm software broadly available across its GPU portfolio, including AMD Radeon desktop GPUs. The new release gives developers broader support for Radeon GPUs to run ROCm AI workloads. "The new AMD ROCm release extends functional parity from data center to desktops, enabling AI research and development on readily available and accessible platforms," said Andrej Zdravkovic, senior vice president at AMD.

Key feature enhancements in this release focus on improving compatibility, accessibility, and scalability, and include:

• Multi-GPU support to enable building scalable AI desktops for multi-serving, multi-user solutions.
• Beta-level support for Windows Subsystem for Linux, allowing these solutions to work with ROCm on a Windows OS-based system.
• TensorFlow Framework support offering more choice for AI development.

In addition to the new Zen 5 Ryzen 9000 series desktop CPUs and Ryzen AI 300 series mobile CPUs, as well as the new Ryzen 5000XT series AM4 socket desktop CPUs and updates to the AMD Instinct AI GPU roadmap, AMD rather silently announced the new Radeon PRO W7900 Dual Slot workstation graphics card at the Computex 2024. While not a completely new product, as it is just a model update of the currently available flagship Radeon PRO W7900 workstation graphics card, it is still a rather important update since AMD managed to squeeze it into a dual-slot design, which gives it support for multi-GPU setups.

As said, the AMD Radeon PRO W7900 Dual Slot still uses the same Navi 31 GPU with 96 Compute Units (CUs), 96 Ray Accelerators, 192 AI Accelerators, and 6144 Stream Processors, as well as 48 GB of GDDR6 ECC memory on a 384-bit memory interface, giving it maximum memory bandwidth of 864 GB/s. It still needs 2x8-pin PCIe power connectors and has a Total Board Power (TBP) of 295 W. The card still comes with three DisplayPort 2.1 and one Enhanced Mini DisplayPort 1.2 outputs. What makes the new Radeon PRO W7900 Dual Slot special is the fact that AMD managed to get it down to a dual-slot design, even with the same blower-fan cooler. Unfortunately, it is not clear if the fan or its profiles are different, but it does make it suitable to be used in multi-GPU configurations.

Building on our previously announced support of the AMD Radeon RX 7900 XT, XTX and Radeon PRO W7900 GPUs with AMD ROCm 5.7 and PyTorch, we are now expanding our client-based ML Development offering, both from the hardware and software side with AMD ROCm 6.0. Firstly, AI researchers and ML engineers can now also develop on Radeon PRO W7800 and on Radeon RX 7900 GRE GPUs. With support for such a broad product portfolio, AMD is helping the AI community to get access to desktop graphics cards at even more price points and at different performance levels.

Furthermore, we are complementing our solution stack with support for ONNX Runtime. ONNX, short for Open Neural Network Exchange, is an intermediary Machine Learning framework used to convert AI models between different ML frameworks. As a result, users can now perform inference on a wider range of source data on local AMD hardware. This also adds INT8 via MIGraphX—AMD's own graph inference engine—to the available data types (including FP32 and FP16). With AMD ROCm 6.0, we are continuing our support for the PyTorch framework bringing mixed precision with FP32/FP16 to Machine Learning training workflows.

AMD's lineup of Radeon and Instinct GPUs, including the flagship RX 7900 XTX/XT, the professional-grade PRO W7900, and the upcoming Instinct MI300, are facing sales prohibitions in China, according to an alleged sales advisory guide from Dell. This restriction mirrors the earlier ban on NVIDIA's RTX 4090, underscoring the increasing export limitations U.S.-based companies face for high-end semiconductor products that could be repurposed for military and strategic applications. Notably, Dell's report lists several AMD Instinct accelerators, which are integral to data center infrastructure, and Radeon GPUs, which are widely used in PCs, indicating the broad impact of the advisory.

The ban includes discrete GPUs like AMD's Radeon RX 7900 XTX and 7900 XT, which, despite their data-center potential, may still be sold under specific "NEC" eligibility. This status allows for continued sales in restricted regions like sales of NVIDIA's RTX 4090. However, the process to secure NEC eligibility is lengthy, potentially leading to supply shortages and increased GPU prices—a trend already observed with the RX 7900 XTX in China, where it's become a high-end alternative in light of the RTX 4090's scarcity and inflated pricing. The Dell sales advisory also lists that sales of the aforementioned products are banned in 22 countries, including Russia, Iran, Iraq, and others listed below.

TechPowerUp today released the latest version of TechPowerUp GPU-Z, the popular graphics sub-system information, monitoring, data-logging, and diagnostic tool for gamers, PC enthusiasts, overclockers, and engineers. The latest version 2.54.0 adds support for new graphics cards, and has several improvements that we're sure you'll find useful. Among the new NVIDIA GPUs supported are the GeForce RTX 4060, RTX 4060 Ti, RTX 3060 (based on GA104-B), RTX 3050 Laptop GPU 4 GB, RTX 3050 Mobile 6 GB (based on GA107-B), 40-2Q, L4, RTX A500 Mobile, RTX 2000 Ada Mobile, RTX 4000 SFF Ada, RTX 5000 Ada Mobile. The new AMD GPUs supported include Radeon RX 7600, Pro W7800, W7900, E8860, Ryzen Phoenix Radeon 7x0M, and Ryzen Z1 Extreme. The new Intel GPUs supported include Arc Pro A60, A60M, Flex 140, Iris Xe Max 100, additional Raptor Lake iGPU variants. Vendor support is added for Sparkle (Intel Arc board partner).

With this release, we've added the ability to monitor and log the real-time video memory read/write bandwidth usage for Intel Arc GPUs. Power monitoring for Intel Arc GPUs was broken after a recent driver update, this is fixed now. We've also improved the video codec capability detection in the DXVA section of the Advanced tab, for all GPUs. The XML Dump output file now includes GPU transistor-count and release date. The Fake GPU detection has been improved. Die-size values for NVIDIA GeForce Ada GPUs have been fixed, as is the transistor-count of RTX 4070 Mobile (based on AD106). Grab GPU-Z from the link below.

DOWNLOAD: TechPowerUp GPU-Z 2.54.0The change-log follows.

AMD unveils the most powerful AMD Radeon Pro graphics cards, Offering unique features and leadership performance to tackle heavy to Extreme Professional Workloads - AMD today announced the AMD Radeon PRO W7000 Series graphics, its most-powerful workstation graphics cards to date. The AMD Radeon PRO W7900 and AMD Radeon PRO W7800 graphics cards are built on groundbreaking AMD RDNA 3 architecture, delivering significantly higher performance than the previous generation and exceptional performance-per-dollar compared to the competitive offering. The new graphics cards are designed for professionals to create and work with high-polygon count models seamlessly, deliver incredible image fidelity and color accuracy, and run graphics and compute-based applications concurrently without disruption to workflows.

AMD Radeon PRO W7000 Series graphics cards feature the world's first workstation GPU architecture based on AMD's advanced chiplet design, providing real-world multi-tasking performance and incredible power efficiency. The new graphics cards are also the first professional workstation GPUs to offer the new AMD Radiance Display Engine featuring DisplayPort 2.1 that delivers a superior visual experience, higher resolutions and more available colors than ever before.