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Zenqira: Revolutionizing AI Training Infrastructure Unlocking the Potential of Decentralized Computing Power ROTTERDAM, NETHERLANDS / ACCESSWIRE / April 1, 2024 / In today's rapidly evolving technological landscape, artificial intelligence (AI) stands at the forefront of innovation, driving transformative changes across industries. From healthcare to finance, AI-powered solutions are revolutionizing the way we work, communicate, and live. However, behind every AI breakthrough lies a critical component: computing power.

Enter Zenqira, a pioneering hub that is reshaping the landscape of AI training infrastructure. Founded in Netherland, Zenqira has quickly emerged as a global leader in democratizing access to high-performance computing power for AI training.

At the heart of Zenqira's mission is the harnessing of decentralized computing power to meet the ever-expanding computational demands of the future. Through its innovative platform, Zenqira connects computing power providers with entities in need of computational resources for AI training, facilitating seamless transactions and maximizing efficiency.

One of the key advantages offered by Zenqira is its tailored computational power packages, designed to cater to the diverse needs of both newcomers exploring the potential of AI and established entities seeking to enhance their computing capabilities. Zenqira offers a range of options to suit every requirement, ensuring accessibility and flexibility for all users.

Moreover, Zenqira's integration into the Golem network further enhances its capabilities, enabling computing power providers to contribute to a decentralized supercomputer that is accessible to anyone, anywhere.

Beyond providing computing power, Zenqira empowers users to monetize their assets in real-time, earning commissions with every transaction. This unique earning model not only incentivizes participation but also creates opportunities for individuals to capitalize on the growing demand for AI training.

As the global AI market continues to expand, with projections reaching USD 2,575.16 billion by 2032, Zenqira remains at the forefront of this transformative wave. By democratizing access to high-performance computing power and fostering collaboration within the AI ecosystem, Zenqira is poised to shape the future of AI innovation.

In conclusion, Zenqira represents more than just a platform for AI training infrastructure-it embodies a vision of empowerment, innovation, and collaboration. As we navigate the complexities of the digital age, Zenqira stands as a beacon of opportunity, unlocking the potential of decentralized computing power and driving the next wave of AI innovation.

Media Contact:

Address: Stationsplein 45, 4th floor, 3013 AK Rotterdam, Netherlands
Email: jason@zenqira.com

SOURCE: Zenqira https://finance.yahoo.com/news/zenqira-revolutionizing-ai-training-infrastructure-044500405.html?guccounter=1
Visualizing Nvidia’s Revenue, by Product Line (2019-2024)

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.



Since the AI boom, the key drivers of Nvidia’s revenue have shifted significantly.

Today, data center processors for analytics and AI have quickly become Nvidia’s largest source of revenue, surpassing the company’s historical main business line of GPUs (graphic processing units). Given the surging demand for hardware that drives AI models, Nvidia’s revenues reached $22.1 billion in the last quarter—a 265% jump from the year before.



This graphic breaks down Nvidia’s revenue by product line, based on Affinity data powered by Syntax.



Nvidia’s data center business has witnessed explosive growth, accelerating 409% compared to the fourth quarter of last year.

The analytics and AI unit includes H100 graphics cards that power AI systems, each made up of 80 billion transistors that allow it to compute vast amounts of data used in training large language models. Big tech companies are spending billions on these graphic cards in order to power their computing infrastructure. Meta, for instance, plans to use 350,000 H100 graphics cards in 2024 alone.



The next biggest source of revenue are GPUs for computers, making up 17.1% of total revenues. Nvidia played a key role in developing these specialized chips which are an important component in PCs. Together, these two product lines make up 95.1% of Nvidia’s revenues, while GPUs for 3D visualization and automotive generate only a fraction of all revenues.



Looking ahead, Nvidia’s graphics chips will likely make up a greater share of revenues as demand continues to grow. In fact, the company recently stated that its facing challenges in keeping up with demand and that it is working to allocate chips fairly across customers, prioritizing those that are able to put them to use immediately.
Forwarded from Park SJ.
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Forwarded from Park SJ.
Generating Images with AI
AI that generates text, images, audio, and video
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enqira - Zenqira Training - Join Zenqira to Become Part of a Decentralized Computing Network and Start Earning GLM Tokens Daily!

https://zenqira.com/Presentation.pdf

https://zenqira.com/u/btc153
Building and scaling AI models
Develop, train, and deploy AI applications on a distributed cloud.

Perfect for AI developers. A powerful, hassle-free experience that “just works.”

https://zenqira.com/

our mission
Integrate 1 million GPUs into DePIN (Decentralized Physical Infrastructure Network).

Our main challenge was to build the infrastructure needed to accommodate a robust back-end trading system with significant computing power.

lack of computing
Faced directly with the limitations of existing compute providers, we dived deeper into the world of distributed computing and created our own solutions to the lack of computing power.

This pursuit ultimately led to a decentralized cluster solution within the Decentralized Physical Infrastructure Network (DePIN).

This infrastructure requires MLOps and DevOps teams. But Ray's discovery accelerated backend development from more than six months to less than 60 days.

Integrating Ray and deploying GPU clusters presented an obstacle: high GPU costs from on-demand cloud providers.

expensive computing power
For example, the high price of NVIDIA A100 cards, over $80 per card per day, has been a major obstacle.

More than 50 cards were required each month, resulting in costs exceeding $100,000. These financial challenges were just as important to us as they are to other ML startups.

Sparking the DePIN Revolution
Despite these high costs, AI computing requirements are growing tenfold every 18 months. OpenAI's lease of over 300,000 CPUs and 10,000 GPUs for GPT-3 training is only the beginning of this compute-intensive era.

Zenqira emerged out of necessity. With a vision born of urgency, we launched the DePIN revolution. Golem Network embraces a future where computing power has no limits.
Maximize AI Opportunities: Earn Passive Income with Zenqira!

In the dynamic realm of technology, artificial intelligence reigns supreme, yet its progress is often impeded by the scarcity of high-performance computing resources, particularly GPUs. Enter Zenqira, pioneering a revolution in cloud computing. Our platform democratizes GPU access, tackling shortages head-on by enabling decentralized rental and lending of GPU nodes. Experience seamless transactions, cost transparency, and efficiency, while unlocking passive income opportunities by lending your GPU assets. Whether you're a startup or an industry giant, Zenqira caters to your AI processing needs with on-demand server access, simplifying the integration of advanced AI capabilities into your systems. Beyond traditional platforms, Zenqira offers GLM rewards, paving the way for passive income generation. Join our community-driven ecosystem and be a part of shaping the future of AI and GPU technology with Zenqira.

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