46 results found | searching for "NVIDIA"
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Multimedia Chipsets Market size is expected to be worth around USD 52.1 Billion The Global Multimedia Chipsets Market size is expected to be worth around USD 52.1 Billion By 2034, from USD 29.9 billion in 2024, growing at a CAGR of 5.7% during the forecast period from 2025 to 2034. In 2024, APAC held a dominant market position, capturing more than a 43% share, holding USD 12.8 Billion revenue. Read more - https://market.us/report/global-multimedia-chipsets-market/ The Multimedia Chipsets Market is a vibrant industry centered on creating specialized chips that power audio, video, and graphics in devices like smartphones, TVs, and gaming consoles. These chipsets, including GPUs and SoCs, ensure smooth multimedia experiences, from streaming high-definition videos to rendering complex game graphics. They’re critical in consumer electronics, automotive systems, and IoT devices, meeting the rising need for rich digital content. This market thrives on innovation, with companies racing to deliver faster, more efficient chips for an increasingly connected world. The Multimedia Chipsets Market, as a market landscape, is growing rapidly, fueled by global demand for advanced multimedia features. It’s a competitive space where giants like NVIDIA and Qualcomm push boundaries to cater to smartphones, smart homes, and automotive sectors. Asia-Pacific leads due to its massive consumer base and manufacturing strength, while challenges like supply chain issues persist. The market’s expansion reflects the world’s growing appetite for seamless, high-quality digital experiences across industries. Top driving factors include the boom in high-resolution content like 4K streaming and the rise of smart devices. Fast 5G networks enable real-time multimedia, while gaming and AR/VR push chipmakers to innovate. IoT growth and automotive infotainment systems also drive demand for powerful chipsets. These forces keep the market dynamic, as consumers expect ever-better performance from their devices. -
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Nvidia, the AI chipmaker, just hit another record high Nvidia shares hit a record high on Monday, closing at $138.07 as Wall Street anticipates earnings updates from Microsoft, Meta, Google and Amazon on their AI infrastructure spending. The stock’s climb has been stupefying — surging nearly 180% this year, following a rapid climb last year; it’s also a reflection of Nvidia’s renowned stronghold on the AI chip market, 70% to 95% of which is controlled by the outfit, per estimates by Mizuho Securities. Indeed, with a market cap of $3.4 trillion, Nvidia is now the second-most valuable U.S. company, behind only Apple. At the center of it all is Nvidia CEO Jensen Huang, now himself worth an estimated $121.5 billion, per Forbes. The ride looks to continue, too. Alongside continuing demand for its current chips, Huang said earlier this month Nvidia is seeing “insane” demand for its next-generation Blackwell chips, which are slated to roll out in the fourth quarter. According to Morgan Stanley, which recently hosted meetings with Huang and other Nvidia execs, the chips are already sold out for the next 12 months. https://techcrunch.com/2024/10/14/nvidia-the-ai-chipmaker-just-hit-another-record-high/
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OpenAI raises $6.6B and is now valued at $157B ChatGPT maker OpenAI has closed the largest VC round of all time. The startup today announced that it raised $6.6 billion in a funding round that values OpenAI at $157 billion post-money. Led by previous investor Thrive Capital, the new cash brings OpenAI’s total raised to $17.9 billion, per Crunchbase. Thrive invested around $1.3 billion, per The New York Times, with an exclusive option to invest up to $1 billion more at the same valuation (through 2025). Microsoft, Nvidia, SoftBank, Khosla Ventures, Altimeter Capital, Fidelity, and MGX also participated in the fundraising. Microsoft reportedly invested a little less than $1 billion, while Nvidia pledged $100 million and SoftBank put in $500 million, reports The Wall Street Journal. “The new funding will allow us to double down on our leadership in frontier AI research, increase compute capacity, and continue building tools that help people solve hard problems,” the company wrote in a blog post. “We’re grateful to our investors for their trust in us, and we look forward to working with our partners, developers, and the broader community to shape an AI-powered ecosystem and future that benefits everyone.” There may be unusual strings attached. This morning, the Financial Times reported that OpenAI asked investors to avoid backing rival startups such as Anthropic and xAI. We’ve reached out to the company for more information and will update this post when we hear back. OpenAI was already the world’s best-funded AI startup. But the mammoth new tranche puts the San Francisco company in a category all its own. https://techcrunch.com/2024/10/02/openai-raises-6-6b-and-is-now-valued-at-157b/
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Raspberry Pi launches camera module for vision-based AI applications Raspberry Pi, the company that sells tiny, cheap, single-board computers, is releasing an add-on that is going to open up several use cases — and yes, because it’s 2024, there’s an AI angle. Called the Raspberry Pi AI Camera, this image sensor comes with on-board AI processing and is going to cost $70. In more technical terms, the AI Camera is based on a Sony image sensor (the IMX500) paired with a RP2040, Raspberry Pi’s own microcontroller chip with on-chip SRAM. Like the rest of the line-up, the RP2040 follows Raspberry Pi’s overall philosophy — it is inexpensive yet efficient. In other words, AI startups aren’t going to replace their Nvidia GPUs with RP2040 chips for inference. But when you pair it with an image sensor, you get an extension module that can capture images and process those images through common neural network models. As an added benefit, on-board processing on the camera module means that the host Raspberry Pi isn’t affected by visual data processing. The Raspberry Pi remains free to perform other operations — you don’t need to add a separate accelerator. The new module is compatible with all Raspberry Pi computers. This isn’t Raspberry Pi’s first camera module. The company still sells the Raspberry Pi Camera Module 3, a simple 12-megapixel image sensor from Sony (IMX708) mounted on a small add-on board that you can pair with a Raspberry Pi with a ribbon cable. As Raspberry Pi promises to keep production running for many years, the Camera Module 3 will remain available for around $25. The AI Camera is the same size as the Camera Module 3 (25mm x 24mm) but slightly thicker due to the structure of the optical sensor. It comes pre-loaded with the MobileNet-SSD model, an object detection model that can run in realtime. At this point, you might be wondering who is going to use the Raspberry Pi AI Camera. While the tiny computers were originally designed for tech hobbyists and homelab projects, Raspberry Pi now sells most of its devices to companies that use Raspberry Pi devices in their own products or as part their assembly lines for internal industrial use cases. https://techcrunch.com/2024/09/30/raspberry-pi-launches-camera-module-for-vision-based-ai-applications/
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Runway announces an API for its video-generating AI models Runway, one of several AI startups developing video-generating tech, today announced an API to allow devs and organizations to build the company’s generative AI models into third-party platforms, apps, and services. Currently in limited access (there’s a waitlist), the Runway API only offers a single model to choose from — Gen-3 Alpha Turbo, a faster but less capable version of Runway’s flagship, Gen-3 Alpha — and two plans, Build (which is aimed at individuals and teams) and Enterprise. Base pricing is one cent per credit (one second of video costs five credits), and Runway says that “trusted strategic partners” including marketing group Omnicom are already using the API. The Runway API also comes with unusual disclosure requirements. Any interfaces using the API must “prominently display” a “Powered by Runway” banner linking to Runway’s website, the company writes in a blog post, to “[help] users understand the technology behind [applications] while adhering to our usage terms.” Runway, which is backed by investors including Salesforce, Google, and Nvidia and was last valued at $1.5 billion, faces stiff competition in the video generation space, including from OpenAI, Google, and Adobe. OpenAI is expected to release its video-generation model, Sora, in some form this fall, while startups like Luma Labs continue to refine their technologies. https://techcrunch.com/2024/09/16/runway-announces-an-api-for-its-video-generating-models/
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Huawei’s buggy software hampers China’s efforts to replace Nvidia in AI Tech group’s Ascend artificial intelligence chips are being widely adopted but Chinese companies complain of performance problems https://www.ft.com/content/3dab07d3-3d97-4f3b-941b-cc8a21a901d6
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NVIDIA's AI Leap: What Sachin Dev Duggal Brings to the Table Sachin Dev Duggal, who created Builder.ai, wants everyone to have access to the latest technology. While NVIDIA is making waves with its new B200 Blackwell chip, Builder.ai is also changing how software is developed. Sachin’s company is showing how AI can make it easier for businesses and entrepreneurs to create their own software, making tech innovation more accessible to all. Know More : https://www.businesstoday.in/impact-feature/corporate/story/the-synergy-of-ai-nvidias-leap-and-sachin-dev-duggals-vision-423156-2024-03-27 #artificialintelligence #AI #technology #sachindevduggal #sachinduggal #builderai #newws #ainews #technews
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Exploring the NVIDIA GeForce RTX 4070 Super: An In-Depth Look In the gaming and graphics community, the NVIDIA GeForce RTX 4070 Super is causing very much a mix. It guarantees significant performance and efficiency improvements over its competitor and is an advanced expansion to NVIDIA’s lineup Visit Now - https://blogtheday.com/exploring-the-nvidia-geforce-rtx-4070-super-an-in-depth-look/
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RTX 4060 Ti: A Mid-Range Marvel Or A Disappointing Dilemma? n Nvidia's GeForce setup, the RTX 4060 Ti overcomes any issues between the affordable RTX 3060 Ti and the strong RTX 4070. It vows to convey significant performance improvements while remaining affordable. The RTX 4060 Ti should balance performance, features, and affordability because of the fast speed of technological advancements and rising demands from games. https://www.ganjingworld.com/news/1guefmbb59i3CkPBFrINF4nY31di1c
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