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Analyticsindiamag
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TSMC, NVIDIA in Talks for AI Chip Production in Arizona
- Taiwan Semiconductor Manufacturing Co. (TSMC) is in talks with NVIDIA to produce its Blackwell AI chips at its Arizona facility.
- TSMC's Arizona plant, expected to start production in 2024, would handle the front-end process of Blackwell chip production.
- NVIDIA's Blackwell chips are in high demand for generative AI and accelerated computing applications.
- The talks highlight the growing role of TSMC's Arizona plant in meeting global demand for advanced AI chips.
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Cybersecurity-Insiders
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Image Credit: Cybersecurity-Insiders
China bans use of Intel, AMD and Nvidia Processor Chips for security concerns
- China has implemented a ban on purchasing and using Intel, AMD, and Nvidia processing chips in products made by its SMBs.
- This ban is seen as a response to the United States' restrictions on Chinese technology and products.
- China recommends SMBs to turn to homegrown technology to address security concerns and reduce manufacturing costs.
- The ban may not significantly impact the global supply chain due to other Asian markets and China's focus on self-reliance.
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Pymnts
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Meta and James Cameron’s Lightstorm Vision Partner on 3D Entertainment
- Filmmaker James Cameron's venture, Lightstorm Vision, has partnered with Meta Quest to scale the creation of 3D entertainment experiences for Meta Quest mixed reality headsets.
- The partnership aims to make it easier for creators to produce 3D content and for people to enjoy that content at home and on the go.
- Meta and Lightstorm Vision will work together to improve access to 3D production tools, lower production costs, and co-produce original content.
- The latest edition of Meta's headset, the Meta Quest 3S, features advanced processing capabilities and is designed for high-quality mixed reality experiences.
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Pymnts
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Tech Firms Ride AI Wave With New Tools and Partnerships
- Pure Storage announced partnerships with Nvidia and CoreWeave alongside its new GenAI Pod system.
- Box launched AI Studio for custom development and expanded its partnership with Amazon Web Services.
- Verint doubled profits on strong AI demand, with AI-powered subscription revenue jumping 19%.
- Pure Storage reported revenue growth of 9% and expects full-year revenue of $3.15 billion as it expands its AI-focused offerings.
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Pymnts
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AI Startup iGenius Building Supercomputer for Financial Services
- AI startup iGenius is building one of the world's largest Nvidia DGX AI supercomputers.
- The supercomputer, named iGenius Colosseum, will deliver 115 exaflops of computational performance.
- iGenius will use the supercomputer to deploy AI models for financial services, healthcare, and the public sector.
- The collaboration with Nvidia aims to develop AI models that meet regulatory requirements and support equitable access to AI technologies.
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Digitaltrends
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21
Image Credit: Digitaltrends
You need an RTX 4090 to play Indiana Jones at max settings; AMD isn’t listed
- The upcoming Indiana Jones and the Great Circle game has demanding hardware requirements.
- To play at maximum settings, an RTX 4090 graphics card is needed; AMD cards are not listed.
- The game requires a hardware ray tracing GPU as a minimum requirement, excluding older AMD and Nvidia GTX cards.
- Lower settings and disabling ray tracing may be necessary for most gamers until next-gen graphics cards are available.
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Insider
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Elon Musk's xAI is expanding its Memphis supercomputer to house at least 1 million GPUs
- Elon Musk's xAI is expanding its Memphis supercomputer to house at least 1 million GPUs.
- The expansion aims to help the startup compete with OpenAI and Google in the AI race.
- Nvidia, Dell, and Supermicro Computer also plan to establish operations in Memphis.
- The expansion is part of xAI's effort to ramp up AI development and outpace rivals.
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VoIP
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Schneider and NVIDIA Innovate AI Data Centers for Sustainability
- Schneider Electric has collaborated with NVIDIA to tackle energy and sustainability challenges in AI data centers.
- They have developed a new data center reference design that supports high-density AI clusters.
- Schneider Electric has also introduced the Galaxy VXL UPS, a compact and high-density power protection system.
- The collaboration aims to create energy-efficient and sustainable AI data centers to reduce carbon footprints.
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Fourweekmba
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NVIDIA “Blackwell” architecture represents an integrated, purpose-built ecosystem for AI supercomputing!
- The NVIDIA “Blackwell” architecture represents an integrated, purpose-built ecosystem for AI supercomputing.
- The architecture consists of core hardware components such as GPUs, CPUs, and DPUs, along with the GB200 NVL72 SuperPOD for high-throughput data processing.
- It features advanced interconnects like NVLink for faster data exchange and software libraries such as CUDA-X Libraries for comprehensive AI tools.
- The system is highly scalable and modular, with innovations in energy efficiency and real-time collaboration tools.
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Siliconangle
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Nvidia and AWS team up to accelerate AI deployments in the cloud
- Nvidia and Amazon Web Services (AWS) have announced new developments in their artificial intelligence (AI) and quantum computing partnership.
- Nvidia’s NIM microservices are now available on various AWS AI services, enabling faster inference with lower latency for AI developers. The NIM microservices are available as prebuilt containers and they come with a choice of inference engines.
- Developers are also getting access to a new infrastructure offering, namely the Nvidia DGX Cloud, which is now available through AWS Marketplace Private Offers, giving customers access to a fully-managed, high-performance compute platform for training, customising and deploying AI models.
- Nvidia is making a number of new AI Blueprints available for instant deployment on AWS. These provide ready-to-deploy AI agents for various tasks, such as video search and text summarisation, that can easily be integrated into existing developer workflows.
- The two companies are looking to accelerate AI-powered simulations for use in robotics. Nvidia’s Omniverse platform will provide developers with a reference application to create virtual environments and digital twins, using highly realistic physics to simulate AI-powered robots in any environment.
- Nvidia’s BioNeMo NIM microservices and AI Blueprints for advancing drug discovery are now available with AWS HealthOmics, giving researchers the chance to experiment with more AI models.
- Nvidia’s CUDA-Q platform, which is used to develop “hybrid quantum/classical computing applications” that span traditional and quantum computers, is being integrated with AWS’ Braket service to accelerate quantum computing development.
- The Nvidia DGX Cloud platform currently provides access to Nvidia’s most powerful GPUs, the Nvidia H100 and H200, and will soon be expanded to include the next-generation Blackwell GPUs, slated to launch in the new year. AWS said the Blackwell chips will be available as part of the GB200 NVL supercomputing system.
- Users will be able to deploy the NIM microservices across multiple AWS services, including Amazon Elastic Compute Cloud, Amazon SageMaker and the Amazon Elastic Kubernetes Service.
- Customers will also get direct access to the company’s experts, who will be on hand to provide the technical expertise needed to scale their AI deployments.
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Hackernoon
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Image Credit: Hackernoon
By 2026, Your Best Friend Might Be an Algorithm
- Ark Invest defines AI companions as a method of entertainment and socialization involving direct consumer interaction with virtual characters powered by generative AI.
- AI companions are designed to interact with users through text or voice, sometimes accompanied by a visual component, and audio-focused companions are predicted to dominate with certain extensions allowing them to animate and integrate into metaverse-like applications.
- Major players like Apple are expected to step in soon with powerful AI companions that will be affordable, highly accessible, and extremely capable.
- Athletes could use AI companions for workout insights, reminders, or personalized motivational speeches designed to resonate with their mindset.
- By 2026, companies like Apple and Samsung are likely to introduce streamlined platforms for AI companions, seamlessly integrated into their devices.
- Wearable technologies, like AI glasses, will allow users to record everything they see, recall prices they saw in passing, ingredients in foods, or even a stranger's face.
- The adoption of AI companions may mirror smartphone adoption, eventually becoming ubiquitous worldwide with staggered global adoption.
- AI will impact education, with some private schools already integrating AI into their classrooms. However, traditional institutions are expected to remain hesitant.
- AI companions may exacerbate class divides and inequality. The risk of variations in AI hardware, software, and access could deepen inequalities, raising concerns about fairness and accessibility.
- Overall, AI companions are expected to redefine how we consume, process and share information, as well as how we prioritize relationships and education.
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Insider
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Image Credit: Insider
Silicon and supercomputers will define the next AI era. AWS just made a big bet on both.
- Amazon Web Services unveiled a new AI chip Trainium3 and announced a new supercomputer that will be built with its own chips to serve its AI ambitions.
- This move shows that Amazon is reducing its reliance on Nvidia for AI chips and is ready to control silicon and supercomputers of their own.
- Amazon's Trainium2 chip is generally available now and it offers 30-40% better price performance than the current generation of servers with Nvidia GPUs.
- Trainium3, which AWS previewed ahead of a late 2025 release, has been billed as a "next-generation AI training chip." Servers loaded with Trainium3 chips offer four times greater performance than those packed with Trainium2 chips.
- Google and OpenAI are also exploring custom, in-house chip designs of their own to reduce their dependence on Nvidia.
- AWS shared that it was working with Anthropic to build an UltraCluster of servers that form the basis of a supercomputer it has named Project Rainier.
- When completed, Project Rainier will be the world's largest AI compute cluster reported to date available for Anthropic to build and deploy their future models on.
- AWS also acknowledged that companies serious about building their own AI models will need access to highly specialized computing that can handle a new era of AI.
- Nvidia is still responsible for 99% of the workloads for training AI models today, but AWS believes Trainium can carve out a good niche for itself.
- Other big tech companies are also designing their own AI chips and supercomputers, including Microsoft and Elon Musk's company xAI building a supercomputer using 100,000 Nvidia GPUs in Memphis this year.
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Medium
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Key Announcements from @AWS re:Invent 2024
- Updates to Amazon Q Developer include AI agents for unit testing, documentation, and code reviews.
- Amazon Nova, the next generation of foundation models, now supports multimodal prompts for deeper insights.
- Introducing Aurora DSQL, a serverless SQL database offering global scalability and high availability.
- Innovations in S3 include faster querying with S3 Tables and automatic metadata generation with S3 Metadata.
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Massivelyop
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157
Monster Hunter Now opens a wintry habitat, adds more monsters, and brings the switch axe December 12
- The upcoming season of Monster Hunter Now, starting on December 12th, will introduce a new tundra habitat with additional monsters.
- The new monsters include Tigrex, Somnacanth, Volvidon, and Lagombi, while Wulg and Cortos monsters from spring will also return.
- The tundra habitat will become a permanent fixture in the game after Season 4.
- The update also brings the switch axe weapon, a customizable Palico companion, new skills, and an increase in loadouts.
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Insider
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Image Credit: Insider
4 things we learned from Amazon's AWS conference, including about its planned supercomputer
- AWS announced plans for an AI supercomputer, UltraCluster, with Trainium 2 chips at re:Invent.
- AWS aims to reduce reliance on Nvidia by developing its own AI infrastructure.
- Apple is using Trainium 2 chips for Apple Intelligence and is testing them for future use.
- AWS introduced Amazon Nova, a new generation of foundational models for GenAI applications.
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