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AR News
TheNewsCrypto
5d
138
Image Credit: TheNewsCrypto
Arweave (AR) Price Prediction 2024, 2025, 2026-2030
- Arweave (AR) is a decentralized, blockchain-based data storage platform that focuses on providing permanent and tamper-proof storage for information.
- Bullish AR price prediction for 2024 is $33.57 to $71.77.
- Bearish AR price prediction for 2024 is $7.44.
- With the help of technical analysis indicators, the price of AR is predicted to reach $92 by 2025.
- If the market momentum and investors’ sentiment positively elevates, then AR might hit $85 soon.
- AR ranks 88th on CoinMarketCap in terms of its market capitalization.
- Arweave (AR) has been listed on many crypto exchanges which include MXC.COM, Bilaxy, Huobi Global, and Hoo, among others.
- AR might surpass its current all-time high (ATH) of $90.94 and mark its new ATH.
- Arweave (AR) price might reach $85 soon.
- Comparatively, if unfavorable sentiment is triggered, the bearish Arweave (AR) price prediction for 2024 is $7.44.
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Digitaltrends
5d
240
Image Credit: Digitaltrends
Prepare your wallet — this RTX 5090 PC costs over $6,000
- German retailer Otto.de briefly listed two Acer Predator Orion gaming PCs equipped with the RTX 5090 and RTX 5080.
- The PC with RTX 5090 was priced at 5,999 euros ($6,240) and comes with high-end specifications.
- The RTX 5080 PC, priced at 3,499 euros ($3,640), offers lower specifications compared to the RTX 5090 model.
- The pricing for the graphics cards themselves is still unknown, but the RTX 5090 is expected to be significantly more expensive.
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Analyticsindiamag
5d
384
Image Credit: Analyticsindiamag
Vultr Achieves $3.5 Billion Valuation
- Vultr, a leading independent cloud infrastructure provider, achieves a valuation of $3.5 billion.
- The funding from LuminArx Capital Management and AMD highlights the rising demand for AI infrastructure.
- Vultr plans to expand its AI infrastructure and cloud computing offerings to compete with traditional hyperscalers.
- In related developments, CoreWeave secures $2.3 billion in financing, and AMD aims to close the GPU performance gap with NVIDIA.
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Crypto-News-Flash
5d
98
Image Credit: Crypto-News-Flash
Hedera News: HBAR Eyes ATH as EQTY Lab Debuts AI Verification Tool
- EQTY labs and NVIDIA have collaborated to launch Verifiable Compute on the Hedera network for AI verification.
- The collaboration aims to enhance governance, compliance, and smart contract orchestration for AI workflows.
- Hedera's decentralized infrastructure enables improved adaptability and tamper-proof record keeping of AI operations.
- Analysts predict that the launch of Verifiable Compute and potential ETF approval could drive HBAR price surge to $1.
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Medium
5d
286
Image Credit: Medium
NVIDIA’s Jetson Orin Nano Super: A Palm-Sized AI Powerhouse
- NVIDIA’s Jetson Orin Nano Super is a palm-sized AI powerhouse with impressive performance and low power consumption.
- It features NVIDIA's Ampere architecture with 1,024 CUDA cores and 32 tensor cores, delivering a 1.7x performance boost over its predecessor.
- With 8GB of LPDDR5 memory and enhanced connectivity options, it offers smooth data flow and versatility for various AI applications.
- Priced at $249, the Jetson Orin Nano Super is designed for commercial AI developers, hobbyists, and students, opening up possibilities in robotics, computer vision, and more.
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Pymnts
5d
82
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B2B Wearables: A New Tool for Businesses to Promote Workplace Wellness
- Polar has launched Polar 360, a new B2B platform for workplace wellness.
- Polar 360 offers a range of devices to monitor vital metrics like heart rate, activity levels, and sleep patterns.
- The platform aims to reduce absenteeism, enhance well-being, and support a productive workforce.
- The wearable technology market is expected to reach $198.83 billion by 2032.
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4 Likes
Dev
5d
156
Image Credit: Dev
Building an AI-Optimized Platform on Amazon EKS with NVIDIA NIM and OpenAI Models
- This article provides an in-depth guide to building a complete AI platform using EKS, NVIDIA NIM, and OpenAI models, with Terraform automating the deployment.
- NVIDIA Infrastructure Manager (NIM) complements Kubernetes by optimizing GPU workloads, a critical need for training large language models (LLMs), computer vision, and other computationally intensive AI tasks.
- Amazon EKS adds value by offering managed Kubernetes and elastic compute integration capability to ensure seamless deployment and scaling of workloads.
- The platform architecture integrates NVIDIA NIM and OpenAI models into an EKS cluster, combining compute, storage, and monitoring components.
- Prometheus and Grafana are essential tools for monitoring AI workloads, enabling users to gain actionable insights into system performance and bottlenecks.
- Karpenter, a Kubernetes-native cluster autoscaler, provides powerful mechanisms for optimizing resource utilization. It dynamically provisions nodes tailored to the specific demands of applications, including GPU-heavy AI workloads.
- With GPU optimization, persistent storage, and observability tools, the platform is well-suited for businesses and researchers alike to deploy scalable and efficient AI workloads.
- Use cases for this platform include AI model training, real-time inference, and experimentation and research.
- The guide provides step-by-step instructions to deploy the architecture using Terraform.
- Install.sh and cleanup.sh streamline the deployment and teardown of resources, enhancing operational efficiency and minimizing errors during deployment and cleanup phases.
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TechBullion
5d
86
Image Credit: TechBullion
The Role of Blockchain in Building the Metaverse Economy
- Blockchain technology plays a pivotal role in shaping the metaverse economy by providing a decentralized and secure framework.
- Blockchain enables peer-to-peer exchange and guarantees transparency, trust, and immutability in the metaverse economy.
- Blockchain facilitates interoperability between various virtual platforms, allowing for seamless asset transfer and creating an interconnected metaverse.
- Blockchain ensures self-sovereign identities and community-driven governance, protecting privacy and empowering users in the metaverse.
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TechCrunch
5d
386
Image Credit: TechCrunch
Microsoft bought nearly 500,000 Nvidia Hopper chips this year
- Microsoft bought more than 485,000 Nvidia Hopper chips in 2024
- This is more than twice the number purchased by their biggest rival, Meta
- Microsoft's 2024 chip purchase tripled the number from the previous year
- Microsoft is also developing its own custom AI chips called Maia
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Siliconangle
6d
139
Image Credit: Siliconangle
The robots are coming! And Nvidia is going to power them with a revamped Jetson and lower price
- Nvidia has released the Jetson Orin Nano Super Developer Kit.
- The artificial intelligence (AI) computer offers up to 67 tera-operations per second of AI performance.
- It is a diminutive four inches by three and a half inches by 1.3 inches, costs $249 and the company said it redefines AI for small edge devices.
- The developer kit features 8GB, six-core Arm central processing unit and an Ampere architecture graphics processing unit, and supported software includes frameworks for robotics, vision AI, and sensor processing.
- The kit comes with the Jetson Orin Nano module and a reference carrier for accommodating Orin Nano and Nvidia Orin NX modules.
- Available a year and a half after its $499 predecessor, a free software upgrade for all Jetson Orin users turns their devices into the new super version.
- Nvidia General Manager of Robotics and Edge Computing, Deepu Talla, calls the Jetson Orin Nano Super Developer Kit the most affordable and powerful supercomputer the company's built.
- Nvidia designed the Jetson architecture to support faster performance to permit what it calls 'planned rejuvenation', rather than 'planned obsolescence.'
- Both the new kit and upgrades are available from the Nvidia website.
- In the call announcing the device, Talla mentioned that the serviceable market for robots was approximately $50 trillion.
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Kotaku
6d
41
Image Credit: Kotaku
AI Will Crash Your PC Gaming Framerates In Nvidia's New App
- Nvidia's new app, which combines various PC apps, is potentially causing a 15% decrease in gaming framerates.
- The issue is related to the AI-driven Game Filters setting, which can be disabled to fix the performance problem.
- Game Filters were previously known as Nvidia Freestyle and were a popular feature for optimizing game settings.
- Alternatively, users can uninstall the Nvidia app and manually download drivers from Nvidia's website.
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Pcgamesn
6d
214
Image Credit: Pcgamesn
Nvidia GeForce RTX 5090 has “enhanced ray tracing” and new DLSS, suggests leak
- Nvidia partner Inno3D teased new features for the upcoming Nvidia GeForce RTX 5000 GPU range.
- The teaser suggests the inclusion of enhanced ray tracing and new DLSS (Deep Learning Super Sampling) technology.
- Nvidia is expected to unveil the new RTX 5000 GPU range at CES in January 2025.
- The flagship GPU in the range is rumored to be the RTX 5090.
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12 Likes
Insider
6d
2.3k
Image Credit: Insider
A chip company you probably never heard of is suddenly worth $1 trillion. Here's why, and what it means for Nvidia
- Broadcom's stock surged recently, pushing its market value over $1 trillion after a strong earnings report.
- The company’s custom AI chips, particularly ASICs (application-specific integrated circuits), saw a 220% revenue growth. Broadcom and competitors like Marvell are leading the rise in custom chips, which are gaining traction as tech companies seek alternatives to Nvidia’s dominance in AI chips.
- Custom chips offer better performance for specific workloads, increasing bargaining power for firms like AWS, Google, and Apple when negotiating with Nvidia. While ASICs won’t replace Nvidia’s GPUs, they are reshaping the chip market, with growth expected to reach $22 billion next year.
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Insider
6d
181
Image Credit: Insider
Groq is 'unleashing the beast' to chip away at Nvidia's CUDA advantage
- Groq is using a free inference tier to compete with Nvidia's CUDA software and attract developers. The AI chip startup offers some of the fastest inference out there, with roughly 652k developers now using Groq API keys. Groq uses no kernels and requires no use of CUDA libraries, providing users with models already built-in that just work. Although this provides developers with an easy-to-use system it also means the barrier to entry for Groq users is the same as any other cloud provider and potentially lower than that of other chips.
- Groq has focused on early AI computing, which requires less need for directly programming chips. Despite one investor having called companies like Groq insane for attempting to dent Nvidia's estimated 90% market share, Groq's novel plan for programming its chips gives the company a unique approach to the most crucial element within Nvidia's moat. Groq expects speed to hook developers on its software but will need to ensure developers troubleshoot and improve its base software.
- This also means that Groq is unlikely to accumulate a stable of developers continuously improving its base software like CUDA has. Groq aims to capture market share by providing faster inference and global joint ventures. Saudi Arabia is already on track, and Canada and Latin America are also in the works. Despite being realistic about the near-term, Groq has lofty ambitions, setting a goal of providing half the world's inference.
- The company's strategy comes with some level of risk, as its offering may be more like a restaurant menu than a grocery store. Mark Heaps, Groq's chief tech evangelist, said training would require more customization at the chip level. Inference, on the other hand, requires Groq to choose the right models and to ensure that they run as fast as possible.
- Though Groq started out as a company with a novel chip design, today, of the company's roughly 300 employees, 60% are software engineers. CEO Jonathan Ross says the goal is to cast a net over the globe and be achieved via joint ventures, with the aim of shipping 108,000 of its language processing units by the first quarter of next year.
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Moneyweb
6d
227
Megacap tech stocks have gotten too big for Nasdaq 100 again
- The world's largest technology companies may face another pruning in the Nasdaq 100 as the benchmark rebalances this week.
- Regulations designed to cap the influence of the biggest members have been put under stress due to the unprecedented growth of companies like Apple and Microsoft.
- Nasdaq previously addressed the issue in 2023 by slashing the weightings of seven companies, but the gauge has become top-heavy again.
- The upcoming rebalancing may require another cull and could result in index-tracking funds needing to adjust their holdings.
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