According to news from this website on February 23, NVIDIA updated and launched the NVIDIA?? application last night, providing players with a new unified GPU control center, allowing players to capture wonderful moments through the powerful recording tool provided by the in-game floating window. In this update, NVIDIA also introduced the RTXHDR function. The official introduction is attached to this site: RTXHDR is a new AI-empowered Freestyle filter that can seamlessly introduce the gorgeous visual effects of high dynamic range (HDR) into In games that do not originally support HDR. All you need is an HDR-compatible monitor to use this feature with a wide range of DirectX and Vulkan-based games. After the player enables the RTXHDR function, the game will run even if it does not support HD

According to news from this website on February 19, in the latest video of Moore's LawisDead channel, anchor Tom revealed that Nvidia GeForce RTX50 series graphics cards will be natively equipped with PCIeGen6 16-Pin power supply interface. Tom said that in addition to the high-end GeForceRTX5080 and GeForceRTX5090 series, the mid-range GeForceRTX5060 will also enable new power supply interfaces. It is reported that Nvidia has set clear requirements that in the future, each GeForce RTX50 series will be equipped with a PCIeGen6 16-Pin power supply interface to simplify the supply chain. The screenshots attached to this site are as follows: Tom also said that GeForceRTX5090

The open LLM community is an era when a hundred flowers bloom and compete. You can see Llama-3-70B-Instruct, QWen2-72B-Instruct, Nemotron-4-340B-Instruct, Mixtral-8x22BInstruct-v0.1 and many other excellent performers. Model. However, compared with proprietary large models represented by GPT-4-Turbo, open models still have significant gaps in many fields. In addition to general models, some open models that specialize in key areas have been developed, such as DeepSeek-Coder-V2 for programming and mathematics, and InternVL for visual-language tasks.

According to news from this site on June 2, at the ongoing Huang Renxun 2024 Taipei Computex keynote speech, Huang Renxun introduced that generative artificial intelligence will promote the reshaping of the full stack of software and demonstrated its NIM (Nvidia Inference Microservices) cloud-native microservices. Nvidia believes that the "AI factory" will set off a new industrial revolution: taking the software industry pioneered by Microsoft as an example, Huang Renxun believes that generative artificial intelligence will promote its full-stack reshaping. To facilitate the deployment of AI services by enterprises of all sizes, NVIDIA launched NIM (Nvidia Inference Microservices) cloud-native microservices in March this year. NIM+ is a suite of cloud-native microservices optimized to reduce time to market

According to news from this site on April 17, TrendForce recently released a report, believing that demand for Nvidia's new Blackwell platform products is bullish, and is expected to drive TSMC's total CoWoS packaging production capacity to increase by more than 150% in 2024. NVIDIA Blackwell's new platform products include B-series GPUs and GB200 accelerator cards integrating NVIDIA's own GraceArm CPU. TrendForce confirms that the supply chain is currently very optimistic about GB200. It is estimated that shipments in 2025 are expected to exceed one million units, accounting for 40-50% of Nvidia's high-end GPUs. Nvidia plans to deliver products such as GB200 and B100 in the second half of the year, but upstream wafer packaging must further adopt more complex products.

1. Architecture of Llama3 In this series of articles, we implement llama3 from scratch. The overall architecture of Llama3: Picture the model parameters of Llama3: Let's take a look at the actual values ??of these parameters in the Llama3 model. Picture [1] Context window (context-window) When instantiating the LlaMa class, the variable max_seq_len defines context-window. There are other parameters in the class, but this parameter is most directly related to the transformer model. The max_seq_len here is 8K. Picture [2] Vocabulary-size and AttentionL

If 2023 is recognized as the first year of AI, then 2024 is likely to be a key year for the popularization of large AI models. In the past year, a large number of large AI models and a large number of AI applications have emerged. Manufacturers such as Meta and Google have also begun to launch their own online/local large models to the public, similar to "AI artificial intelligence" that is out of reach. The concept suddenly came to people. Nowadays, people are increasingly exposed to artificial intelligence in their lives. If you look carefully, you will find that almost all of the various AI applications you have access to are deployed on the "cloud". If you want to build a device that can run large models locally, then the hardware is a brand-new AIPC priced at more than 5,000 yuan. For ordinary people,

Recently, Layer1 blockchain VanarChain has attracted market attention due to its high growth rate and cooperation with AI giant NVIDIA. Behind VanarChain's popularity, in addition to undergoing multiple brand transformations, popular concepts such as main games, metaverse and AI have also earned the project plenty of popularity and topics. Prior to its transformation, Vanar, formerly TerraVirtua, was founded in 2018 as a platform that supported paid subscriptions, provided virtual reality (VR) and augmented reality (AR) content, and accepted cryptocurrency payments. The platform was created by co-founders Gary Bracey and Jawad Ashraf, with Gary Bracey having extensive experience involved in video game production and development.