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How your business can make the most of abundant computing power in the age of AI

The ongoing availability of computing power amidst rapid AI advancements could transform business operations significantly.

Researchers claim to cut energy consumption AI 95 percent

BitEnergy AI's new algorithm significantly reduces the energy consumption of large language models without sacrificing precision.

AI chatbots are improving at an even faster rate than computer chips

AI chatbots are evolving rapidly, requiring half the computing power in just eight months compared to the rate of improvement in computer chips.

Why Microsoft's stake in buzzy AI lab Mistral is raising eyebrows in the EU

Mistral sells a share to Microsoft for $16 million, introduces its largest model available through a paid API
Microsoft's engagement mirrors OpenAI as both rely on massive computing power for AI model training.

Data gold rush: companies once focused on mining cryptocurrency pivot to generative AI

Generative AI has created a demand for computing power, particularly NVIDIA GPUs, to support its operations.
The energy required to power the hardware for generative AI is significant, requiring an energy breakthrough for sustainable advancement.
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Swan Bitcoin Unveils Mining Unit as Parent Company Prepares to Go Public

Swan Mining plans to increase its computing power by 44% by March.
Swan Mining has already received over $100 million in investments and is seeking additional funding for expansion.

Why So Many Bitcoin Mining Companies Are Pivoting to AI

AI companies are switching to using Bitcoin mining rigs for AI training due to increased energy demands and potential revenue stability.

Swan Bitcoin Unveils Mining Unit as Parent Company Prepares to Go Public

Swan Mining plans to increase its computing power by 44% by March.
Swan Mining has already received over $100 million in investments and is seeking additional funding for expansion.

Why So Many Bitcoin Mining Companies Are Pivoting to AI

AI companies are switching to using Bitcoin mining rigs for AI training due to increased energy demands and potential revenue stability.
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US project aims to help academia build next-gen AI models

The US National Science Foundation has launched the National Artificial Intelligence Research Resource (NAIRR) to help academics access computing power, data, and tools for AI research.
More than 20 companies and organizations, including Google, Nvidia, OpenAI, and Amazon, have pledged to share their resources with researchers accepted into the program.

Mark Zuckerberg's new goal is creating artificial general intelligence

Tech industry's pursuit of artificial general intelligence (AGI)
Competition for AI talent and computing power

Asia-Pacific Data Centre Market to Face Brave New World of AI

The Asia-Pacific data centre market is expected to grow rapidly with the deployment of artificial intelligence and increasing demands for computing power.
Regional data centre providers will need to address challenges related to data centre availability and location, regulatory regimes, power and sustainability, and capacity for AI workloads.
#computing power

Real AI use cases in crypto: Crypto-based AI markets, and AI financial analysis

Blockchain-based marketplaces can help address the increasing demand for computing power and data in the AI industry.
Decentralized marketplaces sourcing GPU chips and computing resources for AI have become successful.

Every Bitcoin payment 'uses a swimming pool of water'

Bitcoin transactions use a significant amount of water, about six million times more than a typical credit card swipe.
Bitcoin's high water usage is due to the power and cooling needs of the millions of computers worldwide that support the cryptocurrency.
The study highlights the concern of water shortages globally, which could worsen in the future.

New purpose-designed chips poised to boost generative AI development

Generative AI platforms like ChatGPT-4 are generating interest from government and the private sector.
The main concerns for implementing generative AI in government service are ethical use and computing power requirements.

Legislation Will Bolster Public Sector AI Research

The National AI Research Resource provides researchers with computing power and government datasets to advance AI.
Stanford AI leaders gathered to discuss the importance of the National AI Research Resource.

Nvidia introduces its most powerful GPU yet, designed for accelerating AI

Nvidia announced the HGX H200 Tensor Core GPU, which utilizes the Hopper architecture to accelerate AI applications.
The H200 GPU could lead to more powerful AI models and faster response times for existing ones.
The H200 is designed for AI applications and can efficiently process large amounts of data at high speed.

Real AI use cases in crypto: Crypto-based AI markets, and AI financial analysis

Blockchain-based marketplaces can help address the increasing demand for computing power and data in the AI industry.
Decentralized marketplaces sourcing GPU chips and computing resources for AI have become successful.

Every Bitcoin payment 'uses a swimming pool of water'

Bitcoin transactions use a significant amount of water, about six million times more than a typical credit card swipe.
Bitcoin's high water usage is due to the power and cooling needs of the millions of computers worldwide that support the cryptocurrency.
The study highlights the concern of water shortages globally, which could worsen in the future.

New purpose-designed chips poised to boost generative AI development

Generative AI platforms like ChatGPT-4 are generating interest from government and the private sector.
The main concerns for implementing generative AI in government service are ethical use and computing power requirements.

Legislation Will Bolster Public Sector AI Research

The National AI Research Resource provides researchers with computing power and government datasets to advance AI.
Stanford AI leaders gathered to discuss the importance of the National AI Research Resource.

Nvidia introduces its most powerful GPU yet, designed for accelerating AI

Nvidia announced the HGX H200 Tensor Core GPU, which utilizes the Hopper architecture to accelerate AI applications.
The H200 GPU could lead to more powerful AI models and faster response times for existing ones.
The H200 is designed for AI applications and can efficiently process large amounts of data at high speed.
morecomputing power

AI Investors Are Starting to Wonder: Is This Just a Bubble?

Nvidia is the primary beneficiary of the AI investment boom, outperforming key players like OpenAI, Microsoft, and Google.
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