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Top 8 nvidia News Today

#1
1 ETF and 1 AI Stock I'd Buy If I Were in My 20s | The Motley Fool
#1 out of 896.50%
business2h ago

1 ETF and 1 AI Stock I'd Buy If I Were in My 20s | The Motley Fool

https://www.fool.com/investing/2026/04/16/1-etf-and-1-ai-stock-id-buy-if-i-were-in-my-20s/https://finance.yahoo.com/markets/stocks/articles/1-etf-1-ai-stock-125200830.html
Fool.com and 1 more
  • Young investors can balance growth and safety by combining Nvidia's AI leadership with broad market diversification through the Vanguard S&P 500 ETF.
  • Nvidia's AI processors command a dominant share of the data center market, underpinning its earnings resilience.
  • Profit strength in Nvidia provides stability that can support a long-term growth portfolio alongside risk-managed bets.
  • Historical market context favors a core index approach: the S&P 500 has delivered about 10% average annual return since 1957, aiding long-horizon investors.
  • A disciplined mix of growth from AI leaders and diversification through broad-market exposure can help young investors weather volatility.
  • The article highlights Nvidia’s ongoing chip-design investments as a driver of its continued leadership in AI hardware.
  • For long-horizon investors, an S&P 500 ETF provides diversification across 500 companies and sector balance during AI-driven booms and busts.
  • Historical performance anecdotes illustrate how early stock picks can compound dramatically, underscoring the value of patient, diversified investing.
  • The reference article frames Nvidia as a long-term AI leadership asset, not just a short-term momentum stock.
  • The article notes the broader market uncertainty—geopolitics, inflation, and job-market dynamics—emphasizing the appeal of steady, long-run growth strategies.
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#2
Apple and Nvidia are happy together once more. Well, kind of
#2 out of 8
technology22h ago

Apple and Nvidia are happy together once more. Well, kind of

  • An open-source driver now allows Nvidia GPUs to run on Apple Macs, reversing past compatibility limits.
  • The project centers on TinyGPU by Tiny Corp, which enables the required driver for AI workloads on Macs.
  • Apple has approved the setup for both AMD and Nvidia GPUs, simplifying installation processes for users.
  • Performance tests show AI token processing improves with GPUs, but gaming performance remains limited.
  • The open-source effort is hosted on GitHub, inviting broader community experimentation and improvements.
  • The driver stack could enable AI experiments on Macs, expanding possibilities beyond traditional gaming.
  • The story notes that gaming may eventually be supported, but it remains a challenge with the current software stack.
  • PC Gamer frames the development within Future-branded news and club-style ecosystem, highlighting context around membership and subscriptions.
  • The article provides details on the hardware stack and the expected user setup for Apple Silicon machines.
  • The piece emphasizes ongoing AI-focused use rather than immediate gaming viability.
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#3
What companies like Nvidia, Apple, & Google see in SCAD students - Hypepotamus
#3 out of 8
technology20h ago

What companies like Nvidia, Apple, & Google see in SCAD students - Hypepotamus

  • Industry leaders gathered at the SCAD AI Summit 2026 to recruit emerging talent and discuss AI's role in creative workflows.
  • The summit focused on AI’s role in creative workflows and the guardrails needed for responsible use.
  • The NVIDIA-sponsored AI Jam enabled student teams to prototype innovations using OpenUSD in a 48-hour studio.
  • The winning project REM creates immersive VR from photos and videos by SCAD students.
  • SCAD graduates have moved into roles at Nvidia, Amazon, Apple, Google, and Microsoft.
  • Applied AI is gaining traction at SCAD, with eight majors and 46 minors declared since Fall 2025.
  • The summit underscored partnerships and professional studio work shaping real-world AI applications for students.
  • SCAD emphasized responsible AI use in its Applied AI education and industry engagement.
  • The event highlighted notable sponsors and the expansion of AI-focused education at SCAD.
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#4
Jensen Huang explains why Nvidia invests in tons of companies, instead of trying to pick winners
#4 out of 8
business10h ago

Jensen Huang explains why Nvidia invests in tons of companies, instead of trying to pick winners

  • Huang says Nvidia invests broadly in AI, not just a few winners, to support many foundation model companies.
  • Huang cites Nvidia's history with 60 graphics firms as a lesson against picking winners.
  • Nvidia has invested in Anthropic and OpenAI to advance AI development.
  • Huang says those investments are likely Nvidia's last in the two private companies as they await going public.
  • Nvidia maintains stakes in large tech players and startups across AI, biotech and robotics.
  • Nvidia positions itself as investing across the AI stack and related industries.
  • The company has big stakes in public firms such as CoreWeave, Intel, Synopsys and Nokia.
  • Huang describes Humility as a driver for Nvidia’s non-pick-winners approach.
  • Nvidia’s AI investments include lab partnerships and multiple private and public ventures.
  • Huang’s remarks were shared on the Dwarkesh podcast where he outlined Nvidia’s broad investment stance.
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#5
CoreWeave lands $6B deal to provide Jane Street with AI cloud services
#5 out of 8
business10h ago

CoreWeave lands $6B deal to provide Jane Street with AI cloud services

  • CoreWeave signs a $6 billion agreement to supply AI cloud services to Jane Street, signaling a major strategic collaboration.
  • Jane Street will rely on CoreWeave for scalable infrastructure to run AI workloads and analytics.
  • The deal highlights rising demand from financial firms for AI-focused cloud platforms.
  • Contract specifics, deployment timelines and service levels were not disclosed publicly.
  • The partnership links CoreWeave’s GPU-based cloud infrastructure with Jane Street’s AI research and trading ambitions.
  • The deal emphasizes the role of cloud providers in enabling advanced AI capabilities for financial institutions.
  • No other terms were released about pricing, duration, or specific services included in the agreement.
  • The collaboration underscores the ongoing trend of AI-driven infrastructure investments in finance.
  • CoreWeave strengthens its market position by securing a high-profile enterprise client in Jane Street.
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#6
40. VAST Data
#6 out of 8

40. VAST Data

  • VAST Data makes CNBC's 2025 Disruptor 50 list, recognized for redefining AI-driven data infrastructure.
  • The firm expanded its platform to Google Cloud to support training, retrieval, inference, and analytics.
  • VAST collaborates with Nvidia on real-time AI retrieval apps and uses Nvidia's NIM microservices.
  • The company backs the AI data lifecycle from training to analytics, aiding decision-making.
  • VAST hosts 50 patents and serves major users like Cisco and ServiceNow.
  • The platform is the data foundation behind xAI's Colossus cluster in Memphis.
  • VAST positions itself as an enterprise AI infrastructure enabler amid rising AI demand.
  • CNBC highlights AI-driven disruption across enterprise tech and cloud ecosystems.
  • CNBC notes 2025 disruptor list reflects AI-led business model disruption more than speed of tech.
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#7
Nvidia CEO Jensen Huang warns of "enormous" China compute capacity
#7 out of 8

Nvidia CEO Jensen Huang warns of "enormous" China compute capacity

  • Huang warns China has enormous compute capacity, with ghost data centers and empty datacenters.
  • Huang says China could train an AI model similar to Mythos, raising cybersecurity considerations.
  • Huang urges a safer approach: maintain dialogue and research collaboration with China.
  • Huang emphasizes not treating China as an adversary, urging collaboration over confrontation.
  • The remarks link Mythos to cybersecurity, noting Anthropic-led initiatives to identify vulnerabilities.
  • Huang frames global AI leadership as a combined US–China effort rather than a sole competition.
  • China’s chip manufacturing and AI research capabilities are highlighted as potential for collaboration.
  • Huang cautions against fear-based AI rhetoric, focusing on practical cooperation.
  • The interview connects Mythos to broader AI cybersecurity initiatives and OpenAI developments.
  • Huang notes China’s vast compute capacity and potential to influence AI development globally.
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#8
I stress-tested Pragmata’s path tracing — it looks like a dream and Nvidia’s DLSS 4 makes it play like one (provided you use it right)
#8 out of 8

I stress-tested Pragmata’s path tracing — it looks like a dream and Nvidia’s DLSS 4 makes it play like one (provided you use it right)

  • Latest testing shows Pragmata's path tracing delivers strong visuals, with DLSS 4 dramatically improving playability when used correctly.
  • DLSS 4.5 Dynamic Multi-Frame Generation significantly boosts frames while preserving image quality across tested GPUs.
  • The author notes a balance: higher upscaling can add latency, so Quality or Balanced modes may be better for smooth play.
  • The tests used a Transplant PC setup with RTX 5080 and RTX 5060 Ti, at 4K and 1440p, to gauge performance.
  • The piece frames Pragmata as a standout title for testing path tracing and DLSS under realistic hardware scenarios.
  • The article recommends tuning base rate and disabling extreme settings for smoother play on DLSS 4.
  • The report highlights exclusives and context by referencing DLSS 4 and its impact on future gaming visuals.
  • The article discusses how DLSS interacts with AI background work and user settings to affect latency.
  • The piece stresses that the right DLSS settings can turn Pragmata into a showcase of modern GPU tech.
  • The article positions DLSS 4 as a potential “cheat code” for high-end gaming performance.
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