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Latest Pacific Northwest National Laboratory AI Videos

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... 8:1
AI Just Found a Lithium Replacement that works - 70% less Used

The Charge Show

1+ months ago 1K views

Scientists have discovered a new battery material called N216 using AI and supercomputing, potentially reducing lithium usage by 70%. In less than nine months, Microsoft and the Pacific Northwest National Laboratory identified this innovation, which traditionally would take decades. N216 has applications in solid-state batteries, promising higher energy density, faster charging, and improved safety. Reducing lithium is crucial due to projected demand increases and environmental impacts related to lithium mining. This breakthrough heralds a shift in energy storage, aligning with the expected rise in battery demand as electric vehicles become more prevalent.
06:39 - 06:51

The new battery material could significantly lower global lithium demand.

Machine Learning Environment & Sustainability
... 13:29
How China Could Beat The U.S. To Nuclear Fusion, As AI Power Needs Surge

CNBC

1+ months ago 21K views

Nuclear fusion represents a significant opportunity for clean energy, outperforming traditional nuclear fission and coal in energy output without harmful emissions. Currently, only stars are successful in fusion power generation, but substantial investments from various nations highlight a competitive race for advancements. The U.S. is challenged by China's rapid progress and heavier funding in fusion research. While private companies in the U.S. are making strides, calls for increased federal support are critical to maintain leadership in this essential technology for future energy needs.
01:44 - 01:56

Private U.S. companies pursue fusion energy, with significant backing from investors.

Research & Innovations
... 7:30
Big Tech's big bet on nuclear power

CBS Sunday Morning

1+ months ago 11K views

Microsoft is investing $1.6 billion to restart the Three Mile Island nuclear power plant to support its carbon-negative goals by 2030, amidst a resurgence of interest in nuclear energy from tech giants. This move responds to the substantial electricity demands of AI data centers, highlighting nuclear power's reliability compared to renewable sources. While Microsoft seeks to capitalize on existing infrastructure, Google and Amazon are also pursuing new nuclear technologies to support their energy needs. Despite the promising prospects, challenges remain regarding nuclear safety and the viability of small modular reactors for large-scale deployment.
03:50 - 03:58

Nuclear power, while producing waste, offers constant energy supply necessary for AI applications.

AI cloud services Environment & Sustainability
... 14:37
We Installed a 122TB SSD in a $250 AI Dev Kit – Here’s What Happened

StorageReview

1+ months ago 1K views

The video explores the 122 terabyte P 5336 QLC SSD, delving into various mobile testing environments, including a Lenovo Legion gaming console and a Jetson Nano. Despite initial challenges with the gaming console failing to boot, the Jetson Nano successfully ran complex AI models, demonstrating the SSD's capabilities. The discussion highlights how such high-capacity SSDs can significantly enhance AI applications, especially in edge computing environments where data movement and storage limitations are prevalent. Overall, the session illustrates the potential of the 122 terabyte SSD in powering AI workloads in constrained systems.
12:33 - 12:43

Demonstrated practical application of GPU performance with high-capacity SSD.

Solidigm AI hardware Tech & Hardware
... 12:36
World’s First USB Stick with Local LLM – AI in Your Pocket!

Build With Binh

1+ months ago 2K views

A large language model (LLM) can be deployed on a Raspberry Pi Zero W USB device, allowing offline access and automatic file generation based on user input. The process involves modifying the Pi, designing a case, and addressing technical challenges related to architecture-specific optimizations for compiling LLMs. This innovative setup allows users to interact with the LLM by simply naming files, leading to automatic text generation. The project showcases the feasibility of running local models on low-spec hardware, paving the way for future advancements in portable AI solutions.
12:01 - 12:08

First plug-and-play LLM USB device generates files based on input.

AI hardware Tech & Hardware
... 16:28
Why Big Tech's Betting Billions on Nuclear (Not Renewables)

Undecided with Matt Ferrell

1+ months ago 68K views

The explosive growth of generative AI demands massive energy, leading tech companies to explore nuclear power as a clean energy alternative. Despite the historical stigma associated with nuclear energy, advances in technology, such as small modular reactors (SMRs), are making it more viable. As AI continues to reshape industries, significant investments in nuclear solutions are required to meet future energy needs and environmental goals. Companies like Microsoft, Amazon, and Google are positioning themselves to harness nuclear power to sustain their data centers while aiming for carbon neutrality amidst rising electricity demands.
08:05 - 08:09

Microsoft plans to restart an old reactor at Three Mile Island to secure power.

Roborock AI hardware Research & Innovations
... 19:56
Rahul Kulkarni, AWS | AWS Gen AI Analyst Summit 2024

SiliconANGLE theCUBE

1+ months ago 6K views

Amazon Web Services (AWS) leads in silicon innovation, focusing on optimizing silicon for enhanced performance and cost efficiency. The journey began with the launch of Gravion processors, followed by AI-optimized silicon like Inferentia and Tranium. AWS collaborates closely with independent software vendors to transition applications onto custom silicon, ensuring easy integration. Recent advancements include Tranium 2 for AI training, showcasing AWS's commitment to developing infrastructure that supports massive AI models while continually seeking customer feedback to drive innovation in the AI space.
02:50 - 02:54

Tranium and Inferentia launched to support scalable and efficient AI infrastructure.

AWS AI cloud services Tech & Hardware
... 42:7
ZuckerBro Announces MASSIVE Ai Data Center...A New MANHATTAN Project?

Jason Bermas

1+ months ago 2K views

Advanced discussions surrounding AI infrastructure and energy consumption highlight a shift towards nuclear power for data centers. The rise of AI requires significant power, prompting tech giants like Meta and Google to invest in massive data centers supported by nuclear energy. The Chief AI Officer program indicates a government-controlled approach to AI development, while recent advancements like Deep Seek showcase competitive AI models emerging from China. These developments emphasize a transition in how technology firms will integrate energy sources and manage AI's growing demands across multiple sectors.
37:36 - 38:05

Impact of AI on jobs and the necessity of government partnerships.

ZuckerBro AI cloud services Tech & Hardware
... 42:7
ZuckerBro Announces MASSIVE Ai Data Center...A New MANHATTAN Project?

Jason Bermas

1+ months ago 2K views

Advanced discussions surrounding AI infrastructure and energy consumption highlight a shift towards nuclear power for data centers. The rise of AI requires significant power, prompting tech giants like Meta and Google to invest in massive data centers supported by nuclear energy. The Chief AI Officer program indicates a government-controlled approach to AI development, while recent advancements like Deep Seek showcase competitive AI models emerging from China. These developments emphasize a transition in how technology firms will integrate energy sources and manage AI's growing demands across multiple sectors.
37:36 - 38:05

Impact of AI on jobs and the necessity of government partnerships.

ZuckerBro AI cloud services Tech & Hardware