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Digitaltrends

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Best graphics cards you can actually buy right now

  • The current graphics card market is challenging, with new cards scarce and overpriced.
  • AMD RX 7800XT, a last-generation card, remains a viable option for 1080p or 1440p gaming.
  • Nvidia RTX 4060, despite limited VRAM, offers affordability at $300 with DLSS 4 support.
  • AMD RX 7700 XT is a solid value at around $400, performing well for 1080p or 1440p gaming.
  • AMD RX 7600 is a budget-friendly choice for 1080p gaming, priced slightly above $250.
  • New AMD RX 9070 and 9070 XT cards are set to release with 'wide availability' on March 6.
  • The article advises waiting for new GPU releases, but recommends the mentioned cards if needed urgently.
  • Upcoming GPUs could alleviate market shortages and potentially reduce prices to normal levels.
  • Ensure not to overpay for current graphics cards due to scarcity and inflated prices.

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Ubuntu Handbook

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NVIDIA 570.124.04 Released! New Parameter for nvidia-modeset Module

  • NVIDIA released the new 570.124.04 stable driver for Linux users.
  • The release adds a new conceal_vrr_caps parameter to the nvidia-modeset kernel module.
  • Fixes include VRR not working on HDMI displays and app crashes with PRIME render offloading.
  • The driver also includes new features and improvements compared to the previous version.

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Siliconangle

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What to expect during MWC25 Barcelona: Join theCUBE March 3-6

  • MWC25 Barcelona will feature advancements in AI, 5G, and mobile connectivity, with a focus on AI-driven networks and edge computing.
  • Telcos are increasingly involved in AI edge applications, which could redefine their business models and create new revenue opportunities.
  • Qualcomm, Intel, and Nvidia are set to demonstrate the convergence of AI and 5G at the event to accelerate innovation in IoT.
  • The industry is adapting to be more open to external influences, as highlighted by Chris Lewis, founder of Lewis Insight Ltd.
  • TheCUBE by SiliconANGLE Media will provide coverage of MWC25 Barcelona from March 3-6, with a focus on AI, 5G, IoT, and sustainability.
  • A key area of interest will be the role of telcos in AI edge applications, with players like Cisco Systems and chipmakers like Nvidia expected to make significant contributions.
  • Nvidia's AI Aerial platform could potentially generate billions in revenue for telecom operators through AI-based radio access networks.
  • Industry analyst Zeus Kerravala emphasizes the importance of service provider success in the tech sector, especially with the rise of cloud, mobility, and AI.
  • Viewers can catch theCUBE's live coverage of MWC25 Barcelona on March 3-6 and explore on-demand content through various platforms.
  • Exclusive interviews with industry experts on hardware innovations, edge devices, AI, 5G, IoT, and sustainability will be a highlight of the event.

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Bitcoinsensus

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Nvidia’s Q4 Earnings Soar with $39.3B Revenue

  • Nvidia reported Q4 2024 revenue of $39.3 billion, a 12% increase, earning $0.89 adjusted EPS, surpassing analyst predictions
  • Nvidia's data center unit drove growth with $35.6 billion in sales, exceeding forecasts and boosting overall performance
  • Anticipated spring quarter revenue is $43 billion, while Nvidia faces competition from China's DeepSeek AI model
  • Nvidia's Q4 results show impressive financial performance with 78% year-over-year revenue growth and 71% profit growth

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Insider

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The number Wall Street analysts zeroed in on during Nvidia's earnings call

  • During Nvidia's earnings call, the company's gross margin guidance was repeatedly brought up by analysts.
  • Nvidia expects gross margins in the 'low 70s' in the current quarter but anticipates improvement to the 'mid 70s' later in the fiscal year.
  • The company's increased costs from accelerating the production of Blackwell systems and chips to meet demand contributed to the lower gross margin guidance.
  • Nvidia's gross margin growth potential is attributed to factors like further ramping up the Blackwell architecture and exploring opportunities to improve costs.

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Pcgamesn

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Nvidia begins inviting gamers to purchase RTX 5090 and RTX 5080 gaming GPUs

  • Nvidia is inviting gamers to purchase the GeForce RTX 5090 and RTX 5080 gaming GPUs.
  • Nvidia has introduced the Verified Priority Access program to offer gamers a chance to buy these GPUs at their MSRP price.
  • The program aims to combat stock availability problems and scalpers, as it did for previous graphics card launches.
  • The demand for the RTX 5090 and RTX 5080 has been high since their launch, making it difficult for gamers to purchase them.

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Pcgamesn

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Nvidia GeForce RTX 5060 Ti variants to launch in March and April, rumor suggests

  • A budget-friendly Nvidia graphics card, Nvidia GeForce RTX 5060 Ti, with two variants is rumored to be launching in March and April.
  • The two variants of the card will have 8GB and 16GB VRAM.
  • The 16GB VRAM variant is expected to be more interesting for gamers due to improved performance.
  • The Nvidia GeForce RTX 5060 Ti aims to be one of the best graphics cards for budget gamers.

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Silicon

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Nvidia FY25 Profit Rises 130 Percent, Amid AI Boom

  • Nvidia's FY25 profits increased by 130 percent, driven by the growing demand for its AI chips.
  • The company's Q4 net profit reached $22 billion, exceeding analysts' expectations.
  • Nvidia's market capitalization is now $3.2 trillion, making it the second most valuable tech company.
  • Data center sales, accounting for a significant portion of Nvidia's revenues, experienced a 93 percent growth in Q4.

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Dev

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Flash MLA curated references

  • DeepSeek has announced Flash MLA, an efficient MLA decoding kernel for Hopper GPUs.
  • Flash MLA is optimized for variable-length sequences and is now in production.
  • DeepSeek has also introduced other open-source projects such as DeepEP, DeepGEMM, and Optimized Parallelism Strategies.

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Zycrypto

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AI News: Nvidia Revenue Hits $39.3 Billion Above Wall Street’s Expectations

  • Nvidia has reported a record quarterly revenue of $39.3 billion, a 78% increase from the previous year.
  • The growth was driven by the increasing demand for AI chips and competition among countries.
  • Nvidia's Data Center revenue reached $35.6 billion, up 93%.
  • The positive earnings have also positively impacted AI coins in the crypto market.

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Digitaltrends

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AMD RX 9070 XT vs. 9070: Can they deliver?

  • The AMD RX 9070 and 9070 XT are set to be unveiled officially on February 28, with reviews dropping on March 5 and sales beginning on March 6.
  • There is anticipation around the pricing of the RX 9070 series, with hopes that they may undercut Nvidia's pricing to make them more affordable.
  • The specifications for the RX 9070 XT and 9070 show similarities in most areas, with differences in clock speeds and power draw being the key distinctions.
  • The higher-end 9070 XT model boasts more shader cores and higher boost clocks compared to the 9070, potentially impacting gaming performance.
  • Performance expectations for the RX 9070 series vary, with some suggesting they may excel in raytracing and new technologies like FSR4.
  • The launch of these AMD graphics cards is seen as a crucial moment for the company to increase its market share by offering competitive and available products to gamers.
  • The success of the RX 9070 series could depend on factors like pricing, performance, and supply, with AMD aiming to attract more gamers to its GPU offerings.
  • Updates on the performance and reception of the RX 9070 and 9070 XT will be provided as more information becomes available.

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Medium

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Nvidia Just Made $39.3 Billion in 3 Months. But Can It Keep This Up?

  • Nvidia reported a massive quarterly revenue of $39.3 billion, showing a 78% increase compared to the previous year driven by AI demand.
  • The success is attributed to Blackwell, Nvidia's fastest-selling AI superchip, that is being adopted by major tech companies for various applications.
  • Nvidia's dominance in AI chips market faces competition risks, especially from advancements in AI efficiency and changing investment strategies.
  • Despite challenges, Nvidia remains a key player in AI infrastructure, with Jensen Huang emphasizing AI's mainstream adoption.
  • Nvidia is expanding its reach to AI PCs and other consumer devices, aiming to further solidify its position in the AI ecosystem.
  • While facing increasing competition, Nvidia's strong ecosystem and market presence make it challenging to disrupt.
  • The company's financial success reflects the growing importance of AI not only in data centers but also in consumer applications.
  • Nvidia's focus on machine learning and accelerated computing positions it well for the future as AI becomes more integrated into software.
  • Nvidia's deep involvement in AI hardware and ecosystem places it as a crucial player in the expanding AI landscape.
  • As AI becomes foundational in computing, Nvidia's current position as a leader underscores its potential to continue driving growth.
  • With Nvidia at the forefront of the AI revolution and the ongoing expansion of AI-driven technologies, its future prospects remain strong.

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Medium

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Disrupting the Cloud: How Nvidia-Backed CoreWeave Is Redefining AI Infrastructure

  • CoreWeave, a company initially involved in crypto mining, has successfully transitioned into a provider of AI infrastructure.
  • By leveraging its GPU management and high-performance computing expertise, CoreWeave delivers AI infrastructure that is up to 35 times faster and 80% more cost-effective than traditional public clouds.
  • CoreWeave's exclusive access to Nvidia's cutting-edge GPUs has become a key differentiator, allowing the company to serve compute-intensive workloads for various customers.
  • As specialized AI workloads demand bespoke solutions, CoreWeave's focus on efficiency puts pressure on traditional cloud providers and reveals limitations in their offerings.

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TechJuice

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Nvidia’s AI Chips Drive Massive 80% Revenue Growth

  • Chipmaker Nvidia reported an 80% increase in revenue, driven by sales of AI-focused microchips.
  • Nvidia's quarterly revenue reached $39.3 billion, a 12% increase from the previous quarter.
  • Over 90% of Nvidia's total revenues came from the company's data centers, which reached $35.6 billion.
  • Nvidia's stock remains below its all-time high, but the company is committed to leading in agentic AI.

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Unite

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Breaking Down Nvidia’s Project Digits: The Personal AI Supercomputer for Developers

  • Nvidia's Project Digits is a personal AI supercomputer for developers offering advanced GPU technology and optimized AI software for faster model training and efficiency.
  • The system runs on the GB10 Grace Blackwell Superchip, providing up to 1 petaflop of AI performance and supporting models with up to 200 billion parameters.
  • It includes 128GB of unified memory and up to 4TB of NVMe storage, with NVLink-C2C interconnect for efficient data transfer in computer vision and NLP tasks.
  • Project Digits comes preloaded with AI frameworks like TensorFlow, PyTorch, CUDA, NeMo, RAPIDS, and Jupyter notebooks, enabling local model training with scalability to cloud or data center environments.
  • It is compact, energy-efficient, and priced at $3,000, making high-end AI computing accessible for individual developers and small teams.
  • Project Digits accelerates AI training, reduces costs compared to cloud services, and streamlines development workflows with preinstalled AI tools.
  • The system can be used by medical professionals for faster disease detection, autonomous vehicle developers for improved navigation, and companies developing chatbots and virtual assistants for better interactions.
  • Project Digits offers more control than cloud-based platforms, easier setup than traditional on-premise systems, scalability without complex hardware expansion, and high performance without bottlenecks.
  • With a one-time cost starting at $3,000, Project Digits provides cost-effective AI computing for developers, making AI development faster, more affordable, and accessible.
  • Overall, Project Digits empowers developers to work on AI projects without the limitations of cloud services or the complexities of traditional on-premise systems, enhancing speed, efficiency, and affordability in AI development.

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