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Google recently released a new version of its Gemma3 series, exciting many AI enthusiasts. Just a month after its initial launch, Google released a Quantization Aware Training (QAT) optimized version of Gemma3, aiming to significantly reduce memory requirements while maintaining model quality. Specifically, the QAT-optimized Gemma3 27B model reduces VRAM requirements from 54GB to 14.1GB, meaning users can now run it on a single NVIDIA RTX 3090.

March 9, 2025, California, USA — Open-source models are making text-to-video technology increasingly exciting. AI developer Ostris (@ostrisai) recently shared on X platform the results of his Wan2.1 LoRA model trained with his own photos. Using only about 20 photos and a consumer-grade RTX 4090 graphics card, he achieved astonishing video generation results. This achievement not only showcases the potential of open-source technology but also sparked a discussion on video LoRA training within the X community.

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.

At the recent CES event, Nvidia CEO Jensen Huang made a striking statement: "The RTX 5070 can achieve the performance level of the RTX 4090 at a price of $549." This statement quickly sparked heated discussions on social media, particularly on YouTube and TikTok, with a flurry of comments following. So, can the RTX 5070 truly compete with the $1599 RTX 4090? The answer is not straightforward, and it hinges on N.

Recently, researchers developed an AI model named DIAMOND (Diffusion for World Modelling) that can simulate the popular computer game Counter-Strike: Global Offensive (CS:GO) within a neural network. This model runs on a single Nvidia RTX 3090 graphics card, achieving a speed of 10 frames per second. Although the frame rate is not very high, this achievement is still impressive in the field of AI simulation. DIAMOND's training

A remarkable breakthrough in AI has recently garnered widespread attention in the gaming and tech communities. A research team has successfully developed an AI model named DIAMOND (Diffusion for World Modelling) that can simulate a simplified version of Counter-Strike: Global Offensive (CS:GO) within a neural network. This innovative achievement not only showcases the tremendous potential of AI in the field of game simulation but also provides new ideas for constructing future virtual worlds. One significant feature of the DIAMOND model...

["Nvidia has launched the RTX 500 and RTX 1000 series AI graphics cards based on the Ada Lovelace architecture", "The RTX 500 and RTX 1000 graphics cards deliver 154 and 193 TOPS performance, significantly enhancing mobile capabilities", "The RTX 500 offers up to 14 times the generative AI performance compared to CPU-only configurations", "Portable workstations are expected to be released this spring, with partners including Dell, HP, Lenovo, and MSI"]

NVIDIA has launched the new RTX 500 and 1000 GPU chips, achieving a 1400% performance increase for AIGC. The RTX 500 will be the most affordable entry-level GPU with powerful global AIGC integration, attracting consumer attention due to its competitive pricing.

NVIDIA has launched the new generation of RTX 500 and RTX 1000 series laptop GPUs, featuring the Ada Lovelace architecture and equipped with NPU for AI computing. The RTX 500/1000 will be rolled out gradually, targeting consumers and entry-level workstations. The RTX 500 offers 14 times generative AI performance, while the RTX 1000 increases photo editing speeds by 3 times.

NVIDIA's AI Video Super Resolution technology, RTX Video Super Resolution, now supports RTX 20 series GPUs. Previously, this technology only supported RTX 30 and 40 series GPUs to enhance video quality on Chrome or Edge using AI and tensor cores. Support for RTX 20 series GPUs allows users still utilizing this GPU to enhance their gaming experience. RTX Video Super Resolution is NVIDIA's way of using AI to provide more.