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AR News
Insider
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With a limited supply of GPUs, how do you prioritize AI projects? Amazon uses these 8 tenets to decide who gets access.
- Amazon has implemented eight tenets to prioritize allocation of GPUs in the face of limited supply.
- The company launched "Project Greenland" to streamline GPU distribution and prioritize ROI.
- The tenets include considering ROI and high judgment, continuous learning and improvement, and efficient resource utilization.
- Amazon now has ample GPU capacity, allowing for innovation and meeting the growing GPU needs of its customers.
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TechBullion
4w
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Exploring the Future: A Deep Dive into Augmented Reality
- Augmented Reality (AR) blends digital elements with physical environments, creating immersive experiences and revolutionizing various industries.
- AR applications range from gaming and education to healthcare and retail, offering a rich tapestry of possibilities for users and businesses.
- The history of AR dates back to the 1960s, evolving through innovations like the 'Sword of Damocles' display and advancements in mobile technology.
- AR functions by capturing real-world environments with cameras and sensors, processing data through algorithms, and overlaying virtual content for users.
- Three main types of AR include marker-based, markerless, and projection-based, each offering distinct methods for integrating virtual and physical worlds.
- Businesses leverage AR for marketing and enhanced user experiences, while challenges like privacy and accessibility need careful consideration.
- The future of AR holds transformative potential in education, retail, healthcare, and social interactions, ushering in a more interconnected digital world.
- Ethical concerns surrounding privacy, misinformation, accessibility, and addiction underscore the importance of responsible AR development and usage.
- Examples like IKEA's AR app, surgical applications in healthcare, and Pokémon GO showcase the diverse applications and benefits of augmented reality.
- As AR technology advances, its role in reshaping daily interactions, communication, and experiences becomes increasingly significant, heralding a new era in reality perception.
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Insider
4w
376
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Nvidia investors should watch out for this key risk that could trigger a double-digit semiconductor stock plunge in the next 12 months
- Investors holding semiconductor stocks, like Nvidia, should be aware of the potential risks that could trigger a significant plunge in stock prices.
- BCA Research warns of a possible full-scale war between the US and China over Taiwan, doubling the odds from 5% to 10% in the next 12 months.
- Tariff tensions between the two countries could escalate, impacting global trade and semiconductor manufacturing.
- US-China conflict could lead to severe economic repercussions, with implications for the tech industry, particularly semiconductor giants.
- Taiwan's role in manufacturing semiconductor chips makes it a crucial player for companies like Nvidia, Apple, and AMD.
- BCA Research predicts a potential 40% hit to the S&P 500 in a worst-case scenario of a US-China military conflict, affecting semiconductor companies.
- Investors are advised to hedge against potential market volatility caused by geopolitical tensions, with strategies like buying insurance and investing in emerging market funds.
- Increasing allocation to emerging market manufacturing companies and investing in gold are recommended as ways to mitigate risks associated with a US-China trade war.
- BCA Research suggests buying deep out-of-the-money insurance to protect against potential catastrophic events affecting stock prices of companies like Nvidia and Taiwan Semiconductor.
- Preparation is key for investors in safeguarding their portfolios against the uncertainties posed by geopolitical conflicts and trade tensions in the semiconductor industry.
- It is crucial for investors to evaluate and adjust their investment strategies to navigate through the potential risks and market fluctuations resulting from US-China relations and semiconductor supply chain disruptions.
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Unite
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398
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US Sanctions Backfire: Huawei’s AI Chips Accelerate China’s Self-Reliance
- Huawei is set to mass-ship advanced AI chips, Ascend 910C and Ascend 920, aiming to fill the void caused by U.S. export restrictions on top-tier AI accelerators.
- The move signifies China’s resolve for semiconductor self-reliance and hints at a reordering of the global AI supply chain amid U.S.-China tech tensions.
- Ascend 910C packages two earlier chips to match Nvidia's H100 performance, offering around 60% efficiency and supporting mainstream AI frameworks.
- Huawei's chip ambitions counter Nvidia bans and tight export rules, ensuring AI continuity for Chinese tech industry on homegrown hardware.
- U.S. sanctions have accelerated China's tech self-reliance drive, with Huawei navigating around restrictions through resourcefulness.
- Huawei's emergence in AI chips poses challenges to Nvidia, potentially affecting Nvidia's market share in China amid geopolitical dynamics.
- The situation may lead to a divided global AI ecosystem, with the U.S.-China tech rivalry driving parallel tracks in AI development and innovation.
- The bifurcation could foster rapid advancements in AI capabilities but may also limit interoperability between East and West, impacting collaboration and knowledge exchange.
- For the global supply chain, adaptation to the split in AI ecosystems may involve significant investments and strategic alignment decisions by manufacturers and service providers.
- Huawei's new AI chips symbolize a shifting balance of power in AI computing, hinting at a more competitive tech world shaped by evolving geopolitical dynamics.
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The Verge
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Nvidia’s AI assistant on Windows now has plugins for Spotify, Twitch, and more
- Nvidia is expanding its G-Assist AI assistant on Windows beyond optimizing game and system settings.
- G-Assist now supports plugins, allowing users to control Spotify, check Twitch streams, and access stock and weather updates.
- The G-Assist plugin builder enables developers to create custom functionality and expand the capabilities of Nvidia's AI assistant.
- The plugins run locally on Nvidia's RTX GPUs and additional custom plugins can be shared via GitHub.
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Immersivelearning
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The Future Of Learning: How L&D Professionals Can Future-Proof Their Organizations
- L&D professionals can future-proof organizations by embracing AI, immersive tech, and personalized learning to address skill gaps and foster adaptability.
- Future-proofing ensures organizations adapt to change by creating resilient, scalable, and forward-thinking learning ecosystems.
- Key trends shaping the future of L&D include AI-powered personalization, upskilling/reskilling, immersive learning technologies, microlearning, and data-driven insights.
- Challenges in future-proofing organizations include rapid technological change, diverse workforce needs, and budget limitations.
- Strategies for future-proofing organizations include embracing technology, building a culture of continuous learning, focusing on core skills, integrating learning into workflows, and leveraging humor and storytelling.
- Leadership's role in future-proofing includes championing continuous learning and driving organizational resilience through L&D initiatives.
- Embracing change as an opportunity, L&D professionals can transform training into a powerful driver of success by embracing technology, fostering collaboration, and integrating learning seamlessly into workflows.
- Approaching future-proofing as an exciting adventure filled with opportunities to innovate and inspire growth can help L&D professionals navigate the ever-evolving world of learning and development.
- The future of L&D is not just about preparing employees for tomorrow but also about shaping an organization capable of thriving in constant evolution.
- By adding humor, fostering collaboration, and embracing change, L&D professionals can create meaningful change within organizations and drive success.
- Ultimately, the future of L&D is not scary but exciting, offering opportunities to innovate, create change, and shape the future itself.
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Pymnts
4w
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AWS, Microsoft Slow Down Data Center Deployments
- AWS and Microsoft are pausing or slowing down the development of data centers.
- AWS has paused discussions on colocated data centers abroad, while Microsoft is slowing or pausing some early-stage projects.
- The change in data center plans by AWS and Microsoft is attributed to routine capacity management and refinement of cloud capacity based on demand.
- Other major data center owners like Meta, Google, Oracle, and Nvidia remain active in data center construction.
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Medium
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Why the ASUS ROG Astral RTX 5090 is Perfect for Esports?
- The ASUS ROG Astral RTX 5090 boasts 32GB GDDR7 video memory for handling complex graphics workloads in high-resolution gameplay with seamless performance, crucial for esports.
- Its high memory bandwidth and low latency ensure smooth gameplay, giving players an edge in fast-paced esports titles by delivering uninterrupted performance.
- The card's graphics rendering capabilities maximize visual clarity and detail, aiding split-second decision-making in esports where precision is paramount.
- With a maximum digital resolution of 7680 x 4320, the ASUS ROG Astral RTX 5090 enhances gameplay clarity, allowing players to identify critical elements more easily for a competitive edge.
- Advanced connectivity options like HDMI 2.1b and DisplayPort 2.1b support multiple displays, creating an immersive gaming environment that enhances situational awareness in esports.
- The ASUS ROG Astral RTX 5090 stands out for its high resolutions, multi-display configurations support, meeting the demands of esports enthusiasts for superior image quality and performance.
- Integration of PCI Express 5.0 bus standard and OpenGL 4.6 support optimizes data transfer rates, reduces latency, and enhances graphics rendering for a seamless esports gaming experience.
- Memory speed of 28 Gbps enables quick data retrieval, crucial for real-time gaming scenarios, ensuring immediate responses and optimal frame rates for competitive play.
- The ASUS ROG Astral RTX 5090 offers exceptional user experience with features like a speed setup manual, graphics card holder for stability, and velcro hook for cable management, catering to gamers' ease of use and efficiency.
- Engineered with a focus on accessibility and performance, the ASUS ROG Astral RTX 5090 is a standout choice that excels in graphical performance and user convenience for esports professionals and enthusiasts.
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The Verge
4w
319
Image Credit: The Verge
Nvidia’s GPU drivers are a mess
- Nvidia's GPU drivers have caused problems over the past four months.
- Issues include black screen problems, game crashes, and instability.
- Users have resorted to rolling back to older drivers to fix the issues.
- The recent 576.02 driver release has worsened the problems for some users.
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TronWeekly
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597
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El Salvador Signs Agreement with Nvidia to Boost Sovereign AI Initiatives
- El Salvador signs an agreement with Nvidia to boost national AI capabilities and innovation.
- The partnership aims to improve healthcare, education, and economic growth in El Salvador.
- El Salvador plans to develop AI initiatives for local talent development and national challenges.
- The collaboration focuses on areas such as culture, language preservation, environmental management, and economic productivity.
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Insider
4w
337
Image Credit: Insider
'Project Greenland': How Amazon overcame a GPU crunch
- Amazon faced GPU shortages, leading to project delays in its retail division.
- In response, Amazon launched Project Greenland to manage and allocate GPU supply.
- Efficiency and ROI now determine internal GPU allocation at Amazon.
- The company has created a more structured process for GPU requests.
- Amazon now demands data and ROI proof for every GPU request.
- The company's retail unit has full access to AI processors through AWS.
- Project Greenland ensures shared GPU capacity and maximum utilization.
- Amazon plans to invest $1 billion in GPU-powered AI projects.
- The company aims to optimize cluster utilization and reduce idle capacity.
- AI investments contributed to $2.5 billion in operating profits for Amazon last year.
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Silicon
4w
285
Image Credit: Silicon
Huawei ‘Set’ To Begin Mass Production Of Advanced AI Chip
- Huawei is set to begin mass production of its latest Ascend 910C AI acceleration chip for domestic Chinese customers in May.
- This move by Huawei comes after the US restrictions on chips from Nvidia and AMD, creating demand for Huawei's chip.
- The Ascend 910C chip combines two of Huawei’s 910B processors into a single package, providing double the computing power and memory capacity.
- The upcoming Ascend 920 chip is expected to exceed the performance of the 910C with more than 900 teraflops per card.
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Insider
4w
89
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Intel's former CEO says Nvidia got 2 things right
- Intel's former CEO, Pat Gelsinger, praised Nvidia for its execution and AI product advantage.
- Gelsinger mentioned that Nvidia has succeeded in staying ahead by executing well and building meaningful moats in the silicon AI accelerator market.
- He highlighted Nvidia's advancements in products like NVLink and CUDA, which provide a competitive advantage.
- Intel's new CEO, Lip-Bu Tan, acknowledged the company's recent shortcomings and expressed the need for improvement.
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Digitaltrends
4w
319
Image Credit: Digitaltrends
Nvidia releases quick fix for incorrect GPU temperature readings
- Nvidia releases hotfix driver 576.15 to address GPU temperature monitoring bug.
- Bug causes GPU temperature readings to become frozen or static.
- Hotfix also addresses several other bugs introduced in driver 576.02.
- Users encouraged to download hotfix from Nvidia's official support site.
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Medium
4w
395
Here’s to the GPU Poor
- Polaris Cloud is a decentralized GPU compute platform that offers free access to GPU resources for short-term experiments, aiming to support the 'GPU poor' in the AI revolution.
- It leverages community-driven networks and a decentralized architecture, reducing costs and aligning with the trend towards decentralized technologies.
- Polaris Cloud differentiates itself from platforms like Google Colab and Kaggle by providing a unique, community-powered option for certain use cases, especially those who are experimenting and cost-sensitive.
- The platform aims to democratize AI and innovation by providing access to high-end GPUs for a more diverse range of contributors, fostering a more inclusive future for technology.
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