Editing Nvidia (section)

=== 2024–2025 ===
In January 2024, ''[[Forbes]]'' reported that Nvidia has increased its lobbying presence in Washington, D.C. as American lawmakers consider proposals to [[Regulation of artificial intelligence|regulate artificial intelligence]]. From 2023 to 2024, the company reportedly hired at least four government affairs with professional backgrounds at agencies including the United States Department of State and the Department of the Treasury. It was noted that the $350,000 spent by the company on lobbying in 2023 was small compared to a number of major tech companies in the artificial intelligence space.<ref>{{Cite web |last=Nieva |first=Richard |date=January 11, 2024 |title=Nvidia Is Quietly Ramping Up For A Delicate Dance In Washington |url=https://www.forbes.com/sites/richardnieva/2024/01/11/nvidia-is-quietly-ramping-up-for-a-delicate-dance-in-washington/ |access-date=May 12, 2024 |website=Forbes |language=en}}</ref>

In January 2024, [[Raymond James Financial]] analysts estimated that Nvidia was selling the H100 GPU in the price range of $25,000 to $30,000 each, while on [[eBay]], individual H100s cost over $40,000.<ref name="Vanian">{{cite news |last1=Vanian |first1=Jonathan |title=Mark Zuckerberg indicates Meta is spending billions of dollars on Nvidia AI chips |url=https://www.cnbc.com/2024/01/18/mark-zuckerberg-indicates-meta-is-spending-billions-on-nvidia-ai-chips.html |access-date=June 6, 2024 |work=CNBC |date=January 18, 2024}}</ref> Several major technology companies were purchasing tens or hundreds of thousands of GPUs for their data centers to run [[generative artificial intelligence]] projects; simple arithmetic implied that they were committing to billions of dollars in capital expenditures.<ref name="Vanian" />

In February 2024, it was reported that Nvidia was the "hot employer" in Silicon Valley because it was offering interesting work and good pay at a time when other tech employers were downsizing. Half of Nvidia employees earned over $228,000 in 2023.<ref name="Bindley">{{cite news |last1=Bindley |first1=Katherine |last2=Ellis |first2=Lindsay |last3=Bousquette |first3=Isabelle |title=Booming Stock and Sky-High Pay: Nvidia Is Silicon Valley's Hot Employer |url=https://www.wsj.com/lifestyle/careers/booming-stock-and-sky-high-pay-nvidia-is-silicon-valleys-hot-employer-e4fb6c20 |access-date=February 27, 2024 |work=The Wall Street Journal |date=February 26, 2024 |url-access=subscription |archive-date=February 27, 2024 |archive-url=https://web.archive.org/web/20240227001206/https://www.wsj.com/lifestyle/careers/booming-stock-and-sky-high-pay-nvidia-is-silicon-valleys-hot-employer-e4fb6c20 |url-status=live}}</ref> By then, Nvidia GPUs had become so valuable that they needed special security while in transit to data centers. [[Cisco]] chief information officer Fletcher Previn explained at a CIO summit: "Those GPUs arrive by armored car".<ref name="Bousquette">{{cite news |last1=Bousquette |first1=Isabelle |last2=Lin |first2=Belle |title=Armored Cars and Trillion Dollar Price Tags: How Some Tech Leaders Want to Solve the Chip Shortage |url=https://www.wsj.com/articles/armored-cars-and-trillion-dollar-price-tags-how-some-tech-leaders-want-to-solve-the-chip-shortage-d7c75039 |access-date=May 30, 2024 |work=The Wall Street Journal |date=February 14, 2024 |url-access=subscription}}</ref>

On March 1, 2024, Nvidia became the third company in the history of the United States to close with a market capitalization in excess of $2 trillion.<ref name="Popina" /> Nvidia needed only 180 days to get to $2 trillion from $1 trillion, while the first two companies, [[Apple Inc.|Apple]] and Microsoft, each took over 500 days.<ref name="Popina" /> On March 18, Nvidia announced its new AI chip and microarchitecture [[Blackwell (microarchitecture)|Blackwell]], named after mathematician [[David Blackwell]].<ref>{{cite news |last1=Weiss |first1=Geoff |title=Nvidia's CEO unveils the next AI chip that tech companies will be scrambling for — meet 'Blackwell' |url=https://www.businessinsider.com/nvidia-ceo-jensen-huang-unveils-next-generation-ai-chip-blackwell-2024-3 |access-date=March 19, 2024 |work=Business Insider |date=March 19, 2024 |archive-date=March 19, 2024 |archive-url=https://web.archive.org/web/20240319001932/https://www.businessinsider.com/nvidia-ceo-jensen-huang-unveils-next-generation-ai-chip-blackwell-2024-3 |url-status=live}}</ref>

In April 2024, Reuters reported that China had allegedly acquired banned Nvidia chips and servers from [[Supermicro]] and Dell via tenders.<ref>{{cite news |last=Baptista |first=Eduardo |date=April 23, 2024 |title=China acquired recently banned Nvidia chips in Super Micro, Dell servers, tenders show |url=https://www.reuters.com/world/china/china-acquired-recently-banned-nvidia-chips-super-micro-dell-servers-tenders-2024-04-23/ |url-status=live |archive-url=https://web.archive.org/web/20240424220448/https://www.reuters.com/world/china/china-acquired-recently-banned-nvidia-chips-super-micro-dell-servers-tenders-2024-04-23/ |archive-date=April 24, 2024 |access-date=April 23, 2024 |work=Reuters |ref=none}}</ref>
[[File:PNY Nvidia Quadro P1000.jpg|thumb|PNY Nvidia Quadro P1000]]
In June 2024, the Federal Trade Commission (FTC) and the Justice Department (DOJ) began antitrust investigations into Nvidia, Microsoft and [[OpenAI]], focusing on their influence in the AI industry. The FTC led the investigations into Microsoft and OpenAI, while the DOJ handled Nvidia. The probes centered on the companies' conduct rather than mergers. This development followed an open letter from OpenAI employees expressing concerns about the [[AI boom|rapid AI advancements]] and lack of oversight.<ref>{{cite news |title=U.S. regulators to open antitrust probes into Nvidia, Microsoft and OpenAI |date=June 6, 2024 |url=https://www.cnbc.com/2024/06/06/us-regulators-to-open-antitrust-probes-into-nvidia-microsoft-and-openai.html |archive-url=https://web.archive.org/web/20240609033901/https://www.cnbc.com/2024/06/06/us-regulators-to-open-antitrust-probes-into-nvidia-microsoft-and-openai.html |archive-date=June 9, 2024 |access-date=June 9, 2024}}</ref>

The company became the world's most valuable, surpassing Microsoft and Apple, on June 18, 2024, after its market capitalization exceeded $3.3 trillion.<ref>{{cite news |last1=Patnaik |first1=Subrat |last2=Reinicke |first2=Carmen |title=Nvidia Becomes World's Most Valuable Company as AI Rally Steams Ahead |url=https://www.bloomberg.com/news/articles/2024-06-18/nvidia-becomes-world-s-largest-firm-as-ai-rally-steams-ahead?srnd=homepage-americas&sref=CIpmV6x8 |access-date=June 18, 2024 |work=Bloomberg |date=June 18, 2024}}</ref><ref name="Prakash">{{cite news |last1=Prakash |first1=Prarthana |title=Nvidia single-handedly surpasses Europe's biggest stock markets as London Stock Exchange chief promises reform to refresh U.K.'s 'ambition' |url=https://fortune.com/europe/2024/06/21/nvidia-surpasses-europes-biggest-stock-markets-london-stock-exchange-reform-u-k-ambition/ |work=Fortune |date=June 21, 2024 |url-access=subscription}}</ref>

In June 2024, [[Trend Micro]] announced a partnership with Nvidia to develop AI-driven security tools, notably to protect the data centers where AI workloads are processed. This collaboration integrates Nvidia NIM and Nvidia Morpheus with Trend Vision One and its Sovereign and Private Cloud solutions to improve data privacy, real-time analysis, and rapid threat mitigation.<ref>{{Cite web |last=McCann |first=Kristian |date=2024-06-03 |title=How Nvidia's AI Chips will Power Trend Micro's Cybersecurity |url=https://aimagazine.com/articles/how-nvidias-ai-chips-will-power-trend-micros-cybersecurity |access-date=2024-09-19 |website=AI magazine |language=en}}</ref>

Nvidia introduced in October 2024 a family of open-source [[Large language model#Multimodality|multimodal large language models]] called NVLM 1.0, which features a flagship version with 72&nbsp;billion parameters, designed to improve text-only performance after multimodal training.<ref>{{Cite web |last=Nunez |first=Michael |date=October 1, 2024 |title=Nvidia just dropped a bombshell: Its new AI model is open, massive, and ready to rival GPT-4 |url=https://venturebeat.com/ai/nvidia-just-dropped-a-bombshell-its-new-ai-model-is-open-massive-and-ready-to-rival-gpt-4/ |website=[[VentureBeat]]}}</ref><ref>{{Cite web |last=Basu |first=Swati |date=October 2, 2024 |title=Nvidia unveils its new NVLM 1.0 AI model, rivaling the likes of OpenAI's GPT-4 |url=https://readwrite.com/nvidia-unveils-nvlm-1-0-ai-model/ |website=[[ReadWrite]]}}</ref>

In November 2024, the company was added to the [[Dow Jones Industrial Average]].<ref>{{cite web |url=https://www.reuters.com/technology/nvidia-replace-intel-dow-jones-industrial-average-2024-11-01 |title=Nvidia to take Intel's spot on Dow Jones Industrial Average |first=Arsheeya |last=Bajwa |website=[[Reuters]] |date=November 1, 2024 |access-date=November 3, 2024}}</ref><ref>{{cite web |url=https://www.cnbc.com/2024/11/01/nvidia-to-join-dow-jones-industrial-average-replacing-intel.html |title=Nvidia to join Dow Jones Industrial Average, replacing rival chipmaker Intel |work=CNBC |last=Leswing |first=Kif |date=November 1, 2024 |access-date=November 3, 2024}}</ref>

In November 2024, [[Morgan Stanley]] reported that "the entire 2025 production" of all of Nvidia's Blackwell chips was "already sold out".<ref name="Kahn">{{cite news |last1=Kahn |first1=Jeremy |title=60 direct reports, but no 1-on-1 meetings: How an unconventional leadership style helped Jensen Huang of Nvidia become one of the most powerful people in business |url=https://fortune.com/2024/11/12/jensen-huang-nvidia-ceo-leadership-mpp/ |access-date=November 16, 2024 |work=Fortune |date=November 12, 2024 |url-access=subscription}}</ref>

Also in November 2024, the company bought 1.2 million shares of [[Nebius Group]].<ref>{{Cite news | url=https://www.reuters.com/technology/nvidia-cuts-stake-arm-holdings-invests-chinas-weride-2025-02-14/ | title=Nvidia cuts stake in Arm Holdings, discloses position in China's WeRide | first=Jaspreet | last=Singh | work=[[Reuters]] | date=February 15, 2025}}</ref>

Nvidia was ranked #3 on Forbes' "Best Places to Work" list in 2024.<ref>{{cite web |title=Fortune 100 Best Companies to Work For |url=https://fortune.com/ranking/best-companies/2024/ |website=Fortune |language=en|archive-url=https://web.archive.org/web/20250119102931/https://fortune.com/ranking/best-companies/2024/|archive-date=19 January 2025|url-status=live}}</ref>

In January 2025, Nvidia saw the largest one-day loss in market capitalization for a U.S. company in history at $600 billion. This was due to [[DeepSeek]], a Chinese AI startup that developed an advanced AI model at a lower cost and computing power.<ref>{{Cite web |last=Allen |first=Gregory C. |date=March 7, 2025 |title=DeepSeek, Huawei, Export Controls, and the Future of the U.S.-China AI Race |url=https://www.csis.org/analysis/deepseek-huawei-export-controls-and-future-us-china-ai-race |website=Center for Strategic and International Studies}}</ref> DeepSeek's AI assistant, using the V3 model, surpassed ChatGPT as the highest-rated free app in the U.S. on [[Apple Inc.|Apple]]'s [[App Store (Apple)|App Store]].<ref>{{cite news|last=Subin|first=Samantha|date=January 27, 2025|title=Nvidia sheds almost $600 billion in market cap, biggest one-day loss in U.S. history|publisher=CNBC|url=https://www.cnbc.com/2025/01/27/nvidia-sheds-almost-600-billion-in-market-cap-biggest-drop-ever.html|access-date=January 28, 2025}}</ref><ref>{{Cite web |last=Saul |first=Derek |title=Biggest Market Loss In History: Nvidia Stock Sheds Nearly $600 Billion As DeepSeek Shakes AI Darling |url=https://www.forbes.com/sites/dereksaul/2025/01/27/biggest-market-loss-in-history-nvidia-stock-sheds-nearly-600-billion-as-deepseek-shakes-ai-darling/ |access-date=2025-01-28 |website=Forbes |language=en}}</ref>

On 7 April 2025, Nvidia released the Llama-3.1-Nemotron-Ultra-253B-v1 [[Reasoning language model|reasoning]] large language model, under the Nvidia Open Model License. It comes in three sizes: Nano, Super and Ultra.<ref>{{Cite web |last=Franzen |first=Carl |date=2025-04-08 |title=Nvidia’s new Llama-3.1 Nemotron Ultra outperforms DeepSeek R1 at half the size |url=https://venturebeat.com/ai/nvidias-new-llama-3-1-nemotron-ultra-outperforms-deepseek-r1-at-half-the-size/ |access-date=2025-04-13 |website=VentureBeat |language=en-US}}</ref>