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AMD Ryzen AI Max+395 upgrades to support 128B-parameter local AI models, requiring 128GB RAM (96GB VRAM). Runs 109B-parameter models like Meta Llama4Sout at 15 tokens/sec with 256K context length. MoE architecture enables efficient processing. 128GB AI workstations now priced at ~$1,800.....

AMD and Tensorstack jointly launch AI image generation software Amuse 3.1, optimized for devices equipped with Ryzen AI XDNA2NPU. The new version significantly improves image quality and reduces memory usage, allowing SD3.0 medium models to run on 24GB RAM laptops. The software uses a no-subscription model, offering free use for individual users and small businesses. Key features include fast image iteration adjustments, local offline generation, and image resolution doubling through XDNA2NPU technology.

Tesla launches Grok AI assistant for AMD Ryzen-equipped vehicles, requiring hardware confirmation via 2025.26 software update. Currently focuses on interaction, not vehicle control. AMD selected for superior computing power since 2021. Future expansion planned, incompatible with Intel-based models.....

Tesla launches AI assistant Grok, available only for AMD Ryzen-equipped vehicles via 2025.26 update. Currently offers smart interaction but no vehicle control. Tesla switched from Intel to AMD Zen3 processors since 2021 for better AI performance. Older Intel models can't support Grok, which also provides humorous interactions.....

OpenAI recently announced that, despite initial testing, it will not adopt Google's TPU chips on a large scale. TPU (Tensor Processing Unit) is a custom ASIC chip developed by Google for machine learning tasks, designed to accelerate the training and inference of neural networks. TPU uses a dataflow-driven architecture, enabling efficient matrix multiplication pipeline computing and reducing memory access latency. Image source note: The image is AI-generated, provided by the licensing service Midjourney. OpenAI stated that it will continue

AMD's advancements in AI are noteworthy, particularly its latest optimizations for the Stable Diffusion model. Recently, Stability AI released an ONNX-optimized version of Stable Diffusion, resulting in significantly improved performance for AMD Radeon GPUs and Ryzen integrated graphics in AI tasks, with speed increases up to 3.8 times faster. This progress narrows the gap with NVIDIA's ecosystem...

AMD recently announced GAIA, an open-source application designed to provide a highly efficient and localized method for running Large Language Models (LLMs). Currently supporting Windows and optimized for Ryzen AI 300 series processors, GAIA leverages the strengths of these processors for AI tasks. GAIA is a generative AI application enabling private LLM execution on personal computers, ensuring data privacy. Furthermore, GAIA utilizes...

Meeting the high expectations of professionals and gamers alike, AMD recently launched the new Radeon RX 9070 and 9070 XT graphics cards. These cards boast a remarkable 20% to 40% performance increase over their predecessors and are slated for release on March 6th. AMD first showcased these new products at CES in January. Note: Image from official website screenshot. The Radeon RX 9000 series utilizes the advanced RDNA4 graphics architecture, supporting...

The graphics card market is about to enter a new round of intense competition. Nvidia has high hopes for its upcoming RTX5070 graphics card, claiming its performance can rival the RTX4090, with a price tag of only $549. However, whether this claim holds true remains to be seen in the market. Nvidia initially planned to release the RTX5070 in February, but according to the latest information revealed on its product page today, the release date has been postponed to March 5. Nevertheless, Nvidia still intends to launch sales on February 20, one week before AMD's scheduled event.

Recently, AMD announced in its Q4 2024 earnings call that it plans to accelerate the launch of its next-generation data center GPU series - AMD Instinct MI350. AMD CEO Lisa Su stated that the MI350 will undergo sample testing with 'key customers' this quarter and will ramp up production and shipping by mid-year. Su noted that AMD initially planned to launch the MI350 in the second half of 2025, but the product’s progress has exceeded expectations, coupled with strong customer demand.

With the rapid development of artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) across various industries, AMD has recently launched ROCm 6.3, an open-source platform designed specifically for AMD Instinct GPU accelerators. The platform aims to help developers tackle the demands of computing resources, memory management, and software optimization to improve work efficiency. ROCm 6.3 integrates multiple advanced tools and optimization features, striving for a balance between performance and efficiency.

Recently, AMD announced it will lay off approximately 1,000 employees, which is about 4% of its global workforce. The layoffs primarily affect sales and marketing positions in the gaming and consumer PC departments, marking the chip giant's full transition towards the artificial intelligence chip sector. In the thriving AI chip market, NVIDIA currently holds a dominant 80% market share. Analysts predict that by 2028, the AI chip market will reach a scale of $500 billion. AMD's resource restructuring aims to capture a larger share in this rapidly growing market.

American semiconductor company AMD has recently announced a global workforce reduction of about 4%, with the number of layoffs expected to be under 1,000. This move comes as AMD continues to surpass Intel in the x86 processor market but faces fierce competition from industry giant Nvidia in its transition from graphics processing units (GPU) to artificial intelligence (AI) accelerators. An AMD spokesperson stated, 'To align our resources with our biggest growth opportunities, we are taking some targeted steps.'

Recently, AMD launched its latest Strix Point APU series, highlighting its exceptional performance in AI large language model (LLM) applications, far surpassing Intel's Lunar Lake series processors. With the growing demand for AI workloads, the competition in hardware is becoming increasingly fierce. To address the market, AMD has introduced AI processors designed for mobile platforms, aiming for higher performance with lower latency. AMD stated that the Strix Point series of Ryzen