According to @StockMKTNewz, WOLF Financial posted a CES interview with NVIDIA VP of Generative AI Software Kari Briski covering AI, NVIDIA’s open-sourced Nemotron model catalog, and the importance of open-source models, with the full clip available on X. Source: https://x.com/StockMKTNewz/status/2010470721156206723 and https://x.com/WOLF_Financial/status/2010437680702837246. For trading relevance, the clip offers direct executive commentary on NVIDIA’s generative AI software priorities and open-source tooling, which NVDA-focused investors and AI-related crypto token traders can review for primary-source product roadmap signals. Source: https://x.com/WOLF_Financial/status/2010437680702837246.

According to @StockMKTNewz, Nvidia CEO Jensen Huang said in a video that when AI is open, it proliferates everywhere, highlighting the open-source AI theme that traders monitor when positioning in NVDA and AI-related crypto narratives; source: @StockMKTNewz on X, Jan 10, 2026. The clip provides no additional numbers or policy details, so near-term setups are sentiment-driven around open AI headlines across AI equities and digital assets; source: @StockMKTNewz on X, Jan 10, 2026.

According to @StockMKTNewz, Nvidia NVDA CEO said a job has tasks and purpose, citing radiology where the task is reading scans and the purpose is diagnosing disease and researching, emphasizing this distinction in the near-term AI context (source: @StockMKTNewz). The CEO added that AI enables radiologists to study more scans more deeply, request more scans, improve diagnosis quality, raise hospital productivity, treat more patients, generate more revenue, and potentially hire more radiologists, outlining a cycle of productivity-led hiring rather than replacement (source: @StockMKTNewz). The remarks present near-term AI deployment as labor-augmenting in healthcare with no direct mention of cryptocurrencies or token markets, implying no immediate crypto-market signal from this comment alone (source: @StockMKTNewz).

According to @gdb, will.i.am unveiled the first prototype of Trinity, an AI-native, self-balancing three-wheel single-passenger EV at CES, source: @gdb on X, Jan 8, 2026. The vehicle targets 0–60 mph in under 2 seconds, is self-funded, and was built with Dean Kamen/DEKA and collaborators Ryan & WCC, with NVIDIA named as the AI brain, source: @iamwill statement quoted by @gdb on X, Jan 8, 2026. For equity traders, NVIDIA (NVDA) is explicitly identified as the AI stack used in this edge-autonomy micromobility platform, making it a relevant CES headline for AI-edge supplier tracking, source: @iamwill via @gdb on X, Jan 8, 2026. The post includes a Kickstarter link, indicating early-stage crowdfunding rather than a public equity listing for Trinity, so listed-market exposure is primarily via suppliers such as NVDA, source: Kickstarter link shared in @gdb’s post on X, Jan 8, 2026. No blockchain or token features were disclosed in the announcement, implying no direct crypto-native exposure from this reveal, source: @iamwill statement via @gdb on X, Jan 8, 2026.

According to @StockMKTNewz, NVIDIA CEO Jensen Huang stated that the company’s next-generation AI infrastructure called Vera Rubin is now in full production, with a post also showing what one Vera Rubin superpod looks like (source: @StockMKTNewz). For traders, the concrete details are the explicit "in full production" status and the visual scale of a single superpod as presented in the post (source: @StockMKTNewz).

According to @CNBC, Nvidia plans to test a robotaxi service in 2027 as part of its self-driving push, giving NVDA traders a dated milestone for the company’s autonomous driving roadmap and AI strategy. (source: CNBC) The report sets a 2027 testing target but does not provide details on partners, test locations, or regulatory scope, leaving near-term operational deliverables unspecified for trading timelines. (source: CNBC) The source did not mention any direct cryptocurrency market impact or reference specific crypto assets, so no crypto linkage is stated in the report. (source: CNBC)

According to @StockMKTNewz, NVIDIA CEO Jensen Huang announced that the first full-stack autonomous vehicle from Nvidia will be on U.S. roads in Q1 2026, giving traders a concrete timeline to track autonomous driving catalysts; source: @StockMKTNewz. According to @StockMKTNewz, Huang said there is no doubt autonomous vehicles will be one of the biggest robotics industries, underscoring Nvidia’s end-to-end vehicle AI strategy; source: @StockMKTNewz. According to @StockMKTNewz, the Q1 2026 U.S. on-road target provides a defined window for evaluating NVDA’s autonomous vehicle roadmap in the United States; source: @StockMKTNewz.

According to @StockMKTNewz, NVIDIA CEO Jensen Huang announced the launch of ALPAMAYO, described as the worlds first thinking, reasoning model for autonomous vehicles, with the NVDA ticker referenced in the post, source: Evan (@StockMKTNewz) on X, Jan 5, 2026. The post characterizes ALPAMAYO as a reasoning-focused AI model for autonomous driving but provides no specifications, partners, release timeline, or deployment details, source: Evan (@StockMKTNewz) on X, Jan 5, 2026. The announcement post does not mention crypto, blockchain, or any integration with digital assets, source: Evan (@StockMKTNewz) on X, Jan 5, 2026.

According to @StockMKTNewz, NVIDIA NVDA CEO Jensen Huang said Perplexity’s use of multiple models to answer questions was very smart, source: @StockMKTNewz on Jan 5, 2026. The post provides no additional context such as product details, metrics, or financial guidance beyond the quoted remark, source: @StockMKTNewz. For trading context, the only verified datapoint here is positive CEO commentary on multi-model AI that traders can log for sentiment tracking on NVDA and AI-exposed equities; the source does not report any immediate market reaction, source: @StockMKTNewz.

According to @StockMKTNewz, NVIDIA (NVDA) CEO Jensen Huang said OpenAI models are about six months behind the frontier models and are catching up quickly. Source: @StockMKTNewz. This remark provides a concrete six-month benchmark for AI model progress that traders can track as a timeline for capability upgrades across leading systems. Source: @StockMKTNewz.

According to @CNBC, Nvidia partner Foxconn reported a 22% revenue surge as AI buildout ramps up (source: CNBC). Nvidia and Foxconn previously announced a partnership to build AI factories and manufacture AI servers, tying Foxconn’s revenue exposure to Nvidia’s AI compute ecosystem (source: Nvidia). AI-linked cryptocurrencies have shown sensitivity to Nvidia-driven news, with Reuters reporting broad gains in AI tokens following Nvidia earnings, highlighting potential spillover into crypto when AI infrastructure activity increases (source: Reuters).

According to @StockMKTNewz, The Information reports that Elon Musk’s xAI has purchased a building for its third supersized data center planned outside Memphis, Tennessee, indicating another major capacity buildout by the company (source: The Information via @StockMKTNewz). Large hyperscale data centers require significant power and advanced accelerators, and power availability remains a primary constraint for new builds that traders monitor for implications across GPU suppliers and regional utilities (source: Uptime Institute Global Data Center Survey 2023). For crypto markets, expanding AI data center demand can intensify competition for electricity that also underpins BTC mining cost structures, a key risk factor highlighted in public filings by mining operators such as Riot Platforms (source: Riot Platforms 2023 Form 10-K).

According to @StockMKTNewz, Nvidia stated that its new Quantitative Portfolio Optimization example is designed to accelerate portfolio backtesting and analysis using high-performance computing, addressing the speed versus complexity trade-off in portfolio construction; source: Nvidia via @StockMKTNewz. According to @StockMKTNewz, the emphasis on faster backtesting directly targets quantitative finance workflows where execution speed materially impacts strategy evaluation and optimization; source: Nvidia via @StockMKTNewz.

According to @CNBC, the biggest midday stock movers on Dec 29, 2025 include Nvidia, Ultragenyx Pharmaceutical, Newmont and DigitalBridge, with more names detailed in the linked report. According to @CNBC, the update lists intraday movers and does not cite any direct cryptocurrency market impact.

According to @CNBC, Nvidia quietly bought a competitor last week and analysts believe this could be a big deal for NVDA’s stock, signaling a potential catalyst for price movement and volatility when markets digest the news (source: @CNBC on X, Dec 29, 2025). According to @CNBC, the post did not disclose the target or deal terms, indicating that near-term trading may be headline-driven until official details are released (source: @CNBC on X, Dec 29, 2025).

According to @StockMKTNewz, Jensen Huang currently owns 811,453,398 shares of Nvidia (NVDA). Source: @StockMKTNewz on X, Dec 27, 2025. NVDA closed Friday at USD 190.53 per share, valuing his stake at approximately USD 154.6 billion. Source: @StockMKTNewz on X, Dec 27, 2025. The post notes this is up from USD 10.6 billion five years ago. Source: @StockMKTNewz on X, Dec 27, 2025. The source did not mention any direct cryptocurrency market implications. Source: @StockMKTNewz on X, Dec 27, 2025.

According to @CNBC, Morgan Stanley named Nvidia (NVDA) among its top stock picks for 2026 in a newly published outlook (source: CNBC). According to CNBC, the inclusion positions Nvidia within the bank’s preferred names for the coming year, signaling focus on AI leaders in the 2026 framework (source: CNBC). According to CNBC, the report did not reference cryptocurrencies or digital assets (source: CNBC).

According to @CNBC, an analyst said the Nvidia-Groq deal is structured to keep a 'fiction of competition' alive. Source: CNBC on X, Dec 26, 2025, https://twitter.com/CNBC/status/2004636901387506097. The post signals skepticism about the deal’s competitive impact, highlighting a narrative relevant to pricing and positioning of NVDA and AI chip peers. Source: CNBC on X, Dec 26, 2025, https://twitter.com/CNBC/status/2004636901387506097.

According to @StockMKTNewz, Nvidia (NVDA) is set to open trading back over $190 today, with the upside attributed to a $20B deal with Groq as reported in the post.

According to @KobeissiLetter, Nvidia (NVDA) traded above $190 in overnight action after reaching a $20 billion licensing deal with Groq (source: @KobeissiLetter on X, Dec 26, 2025). According to @KobeissiLetter, the price spike was linked to the licensing agreement and occurred outside regular market hours, indicating immediate market reaction to the AI catalyst (source: @KobeissiLetter on X, Dec 26, 2025). According to @KobeissiLetter, no additional deal terms or direct cryptocurrency market implications were provided in the post (source: @KobeissiLetter on X, Dec 26, 2025).