Article Introduction：NVIDIA graphics cards are an indispensable part of a computer. Some users want to make their computers perform better and want to replace the graphics cards. This makes many users ask what NVIDIA graphics card models are. Let this site carefully introduce NVIDIA graphics card models to users. Comprehensive list of NVIDIA graphics card models Note: Only some statistics are included 1. NVIDIA XX80 Involving: RTX4080, RTX3080Ti, RTX2080Ti, GTX1080Ti, GTX980Ti, GTX780Ti, GTX680 Performance running scores: Performance has been steadily rising. Power consumption statistics: Price changes: Although the initial price fluctuates, it has been getting more expensive. when

2024-03-15 comment 0  697

Article Introduction：Although some reasons make graphics cards seem a bit embarrassing in China now, it does not prevent us from getting new news and supporting the latest products. No, the NVIDIA RTX4080SUPER graphics card specifications have been exposed. I wonder if you are interested? Let’s take a look! NVIDIA RTX4080SUPER graphics card specifications RTX4080SUPER, it is rumored that it will use the AD103-400 GPU core, with 10240 cores, 320 TMUs, 112 ROPs and 64MB L2 cache. In addition, this GPU will use a 256bit bus interface, which means it will still use 16GBGDDR6X video memory, the same as the RTX4080 non-SUPER version. Rumor: RTX408

2024-06-13 comment 0  929

Article Introduction：With the brand new graphics card, Nvidia’s goal must be everyone’s support. But now, whether we use facts to support it or whether we can only look at it from afar depends on the decisions of the big guys. But there’s absolutely nothing wrong with being the first to get your eyes wet, so let’s first show you the specifications of the NVIDIA 4070TiSUPER graphics card. NVIDIA GeForceRTX4070TiSUPER. Readers may think that this naming with both Ti and Super is strange, and here Kopite7kimi also thinks that its naming is very strange. In terms of specifications, this graphics card is said to use AD103-275/AD102-175GPUSKU. The two versions have the same 8448 cores and 48MB secondary cache.

2024-08-17 comment 0  794

Article Introduction：NVIDIA is a multinational technology company headquartered in the United States, specifically in Santa Clara, California.

2024-04-24 comment 0  1171

Article Introduction：The wave of artificial intelligence has swept across the past six months, and Nvidia has opened the door to the trillion-dollar club of the US stock market. NVIDIA, which originally only wanted to get a share of the game graphics computing pie, did not expect to become the leader in AI computing more than 20 years later, almost monopolizing the entire AI server chip market. The last company to dominate the server market was Intel, but its CPUs lost to Nvidia's GPUs in high-performance computing. At the same time, Intel also lags behind TSMC in chip process technology, and its product strategy has been passive. In contrast, the leading Nvidia has already swept away the competition, and AMD is also chasing after it, directly taking advantage of Intel's home base. With the success of NVIDIA, the research and development direction of next-generation chips is more focused on how to deeply integrate AI models. Choose

2023-06-12 comment 0  569

Article Introduction：As we all know, graphics cards require drivers to be installed to function properly. For example, Nvidia drivers need to be installed for N cards. But if we buy an MSI graphics card, we may want to know whether the driver for the MSI graphics card is the same as the NVIDIA driver. Actually, it depends on the graphics card model purchased. Is the MSI graphics card driver the same as NVIDIA? Answer: If you purchase an MSI N card, then it is the same as NVIDIA's card. If you purchase an AMD graphics card, it is different from NVIDIA's graphics card. , you need to install the AMD driver. MSI is a third-party graphics card manufacturer that owns NVIDIA and AMD brand graphics cards. 2. Different brands of graphics cards use different drivers. For example, NVIDIA uses GeForceExperien.

2024-01-02 comment 0  1322

Article Introduction：AMD and Nvidia must be two well-known manufacturers. Everyone knows that their graphics cards are good. But it’s easy to get entangled in the choice. What to choose? For this reason, let’s have a formal chat, which one is better, amd graphics card or nvidia graphics card? In fact, the market allows the two to coexist, which means there is demand for both. The specific choice should be based on actual needs and usage scenarios. For your convenience, we will give you a simple analysis from the aspects of performance, price, compatibility, power consumption, etc. for your reference. Performance: AMD graphics cards perform better in floating-point operations and rendering, while Nvidia graphics cards are better in single-precision calculations and gaming performance. Price: AMD graphics cards are generally cheaper than Nvidia graphics cards, but Nvidia graphics cards are

2024-09-02 comment 0  664

Article Introduction：According to news from this site on December 30, according to foreign technology media VideoCardz, Nvidia GeForce RTX4080SUPER has the fastest video memory of the RTX40 series graphics cards. The NVIDIA RTX4080 graphics card is equipped with 22.4Gbps video memory, while the RTX4080SUPER uses 16GB of GDDR6X video memory, with the speed slightly increased to 23Gbps and the bandwidth increased by 2.6%. In addition, the core frequency of the Nvidia RTX4080 graphics card is 2205/2505MHz, while the SUPER version is increased to 2295/2550MHz. NVIDIA RTX4070SUPER and RTX4070TiSUPER still retain 21Gbps memory speed

2024-01-15 comment 0  743

Article Introduction：According to news from this site on September 4, the source Kopite7kimi posted a tweet on the X platform yesterday (September 3), revealing that the power consumption of the Nvidia GeForce RTX5090 graphics card is 600W, while the power consumption of the RTX5080 graphics card is 400W, both equipped with 1 16-Pin power supply interface. This site is now accessing relevant tweets. Raichu’s tweets have been hidden. Here are the previous screenshots of the source videocardz for comparison. The power consumption of the NVIDIA RTX4090 graphics card is 450W. The NVIDIA RTX5090 graphics card increases from 150W to 600W, an increase of 33%. The power consumption of the 4080 graphics card is 320W, and the NVIDIA RTX5080 graphics card increases by 80W to 400W.

2024-09-04 comment 0  389

Article Introduction：2014 NVIDIA graphics card series ranking I have compiled four latest hardware ladder charts, including Intel's latest monster i7, and NVIDIA's latest mobile and desktop graphics cards 980 and 970. These four ladder pictures are the CPU and graphics cards of the mobile version and the desktop version respectively, a total of four pictures. Among them, NVIDIA graphics card, the representative color is green, see the picture for details. Intel has a CPU ladder chart and a core graphics card ladder chart. The representative color is blue and the classification is clear. If you have any questions, please ask. The uploaded image may be compressed. If you need the original image, please download the attachment at the bottom. I have compressed and packed the four images into one attachment. It is recommended that you use a tablet or desktop computer to view it, as it may be inconvenient to download attachments on your mobile phone. Put preview image

2024-01-10 comment 0  1298

Article Introduction：According to news from this site on January 12, according to the latest photos shared by source @I_Leak_VN, the performance of NVIDIA GeForce RTX4080SUPER graphics card is more powerful than expected. This site learned from subsequent tweets that this photo came from an event where Nvidia representatives made a relevant introduction to Vietnamese retailers, showing all RTX40 series models and price information. Source Moore's LawisDead previously pointed out that the performance of NVIDIA GeForceRTX4080SUPER graphics card is 5% higher than that of RTX4080, and judging from the exposed pictures, the performance is nearly 9% higher. In addition, according to information shared by @3DCenter_org, NVIDIA RTX4080Supe

2024-01-16 comment 0  912

Article Introduction：Nvidia has surpassed Apple in market capitalization, reaching a historic $3.43 trillion valuation. This milestone is evidence of Nvidia's leadership in the artificial intelligence industry, which has also led to a significant increase in the number o

2024-11-06 comment 0  748

Article Introduction：According to news on October 19, Nvidia has not launched a SUPER version of graphics cards since the RTX20 series. The RTX30 series only has Ti-named versions, and the RTX40 series also continues this rule. However, according to the well-known tipster @hongxing2020, NVIDIA will soon launch three RTX40 series SUPER graphics cards, namely RTX4080SUPER, RTX4070TiSUPER and RTX4070SUPER. According to the editor's understanding, after Benchlife checked with NVIDIA's AIC partners, the three SKUs have been basically confirmed. Although no specific technical specifications have been obtained, it is known that the new version of RTX4080 will be equipped with 20GBGDDR6X video memory.

2023-10-19 comment 0  1395

Article Introduction：According to the Economic Daily, in order to alleviate the tight supply of advanced packaging production capacity, NVIDIA plans to absorb Intel into its supply chain. Reports indicate that Nvidia’s AI accelerator cards are in tight supply and demand, and due to insufficient TSMC CoWoS advanced packaging capacity, Nvidia is considering absorbing Intel to alleviate the current tight AI accelerator card situation. This site quoted the media report that Intel is expected to officially join Nvidia's supply chain in February this year, with a monthly production capacity of 5,000 wafers. According to industry analysis, even if Intel joins Nvidia's supply chain and provides it with advanced packaging production capacity, TSMC will still be Nvidia's main advanced packaging supplier. If the expanded production capacity of TSMC and other related assembly and test partners is taken into account, it is estimated that it will provide approximately 90% of the advanced production capacity for NVIDIA.

2024-02-01 comment 0  592

Article Introduction：The rise of artificial intelligence (AI) has driven Nvidia stock to record highs. Nvidia's GPUs play a key role as important hardware supporting artificial intelligence workloads. As the founder and CEO of Nvidia, Jensen Huang’s influence in the artificial intelligence market has also increased. NVIDIA has successfully occupied a place in the field of artificial intelligence with its excellent technology and innovation, laying a solid foundation for the company's development. As artificial intelligence technology continues to evolve and become more popular, Nvidia will continue to play a role in this field. Jen-Hsun Huang made a point at the recent World Government Summit in Dubai that every country should develop and have its own artificial intelligence system. This will help meet the cultural and linguistic needs of different countries and provide opportunities for people to

2024-03-01 comment 0  800

Article Introduction：According to the latest news, the RTX4090D graphics card will be released at 22:00 on December 28, 2023, Beijing time, and it can be confirmed that there is no public version of the RTX4090D. So without stopping our curiosity about it, let’s take a look at what kind of graphics card this is and what configuration information it has! MEGAsizeGPU, a reliable source of NVIDIA RTX4090D graphics card parameter information, said that the RTX4090D will use the AD102-250GPU. The original RTX4090 uses AD102-300/301GPU. The number of CUDA of RTX4090D will be reduced, the base frequency is slightly higher than the original RTX4090, and the Boost frequency is the same as the original RTX40

2024-08-10 comment 0  596

Article Introduction：According to IT House news on July 3, Kingsoft Office’s official public account announced today that it will cooperate with the NVIDIA team to accelerate WPSAI services. According to reports, Kingsoft Office cooperated with the NVIDIA team to improve the inference efficiency of image document recognition and understanding through NVIDIA TensorCore GPU and TensorRT; with the deployment of NVIDIA Triton inference server, it successfully optimized GPU utilization and provided high inference throughput. Compared with CPU, its pipeline time is reduced by 84%; using NVIDIA Triton inference server deployment, its deployment cost is saved by 23%. ▲WPSAIPPT Beautification According to the latest progress of WPSAI announced by Kingsoft Office, this product already supports inputting themes in PPT, "one-click

2023-07-12 comment 0  1042

Article Introduction：News on July 10, according to 36Kr, it was recently reported that NVIDIA’s deep learning accelerator card NVIDIAA800TensorCoreGPU has experienced a significant price increase. According to NVIDIA chip agents, about a week ago, rumors about the NVIDIA A800 chip being banned caused the price of the A800 on the market to soar. It is understood that just 15 days ago, the market price of Nvidia A80080GB PCIe standard version GPU was about 90,000 yuan, but now it has risen to about 110,000 yuan. Yet despite skyrocketing prices, Nvidia's high-end chips remain highly sought after. NVIDIA chip agents emphasized that they can still supply NVIDIA's H800 series GPU cores normally.

2023-07-19 comment 0  1245

Article Introduction：Don’t hear the old people cry, only see the new people laugh... Nowadays, we have the same logic when it comes to products. News just broke out about Nvidia's RTX50 graphics card, and everyone is starting to pay attention to it. Many people are looking forward to it, so when will NVIDIA rtx50 graphics card be released? According to the latest news from the whistleblower "Moore's Law is Dead", Nvidia's RTX50 "Blackwell" GPU will be ready for launch in the fourth quarter of 2024. The specific launch time depends on the sales of the RTX40 series graphics cards and the strength of AMD's competing products. how. It seems that if you want to arrange it, you still have time. Therefore, the editor recommends that everyone calm down, calm down and wait for the specific release time! At present, we can only learn from the bits and pieces of news that have been exposed.

2024-08-20 comment 0  841

Article Introduction：Over the past decade, the landscape of machine learning software development has undergone significant changes. Many frameworks have sprung up, but most rely heavily on NVIDIA's CUDA and get the best performance on NVIDIA's GPUs. However, with the arrival of PyTorch 2.0 and OpenAI Triton, Nvidia’s dominance in this field is being broken. Google had great advantages in machine learning model architecture, training, and model optimization in the early days, but now it is difficult to fully leverage these advantages. On the hardware side, it will be difficult for other AI hardware companies to weaken Nvidia's dominance. Until PyTorch 2.0 and OpenAI Triton came along, machine learning

2023-04-13 comment 0  1808