NEW YORK (AP) — Stocks are off to a mixed start on Wall Street. The S&P 500 edged up 0.1% in the first few minutes of trading Tuesday. The Dow Jones Industrial Average was essentially flat, and the Nasdaq composite added 0.2%. Tech stocks did better than the rest of the market. Semiconductor company Micron Technology rose 4%. Crude oil prices rose about 0.7%. Treasury yields climbed in the bond ma...
NEW YORK (AP) — Stocks are off to a mixed start on Wall Street. The S&P 500 edged up 0.1% in the first few minutes of trading Tuesday. The Dow Jones Industrial Average was essentially flat, and the Nasdaq composite added 0.2%. Tech stocks did better than the rest of the market. Semiconductor company Micron Technology rose 4%. Crude oil prices rose about 0.7%. Treasury yields climbed in the bond market. European markets were higher and Asian markets rose sharply overnight. Investors will be focused on the U.S. labor market this week as the government issues three separate reports on employment. THIS IS A BREAKING NEWS UPDATE. AP’s earlier story follows below. Trading on Wall Street was mixed in light trading early Tuesday while gains for oil prices moderated following the U.S. military operation in Venezuela over the weekend the led to the capture of its president, Nicolas Maduro. Futures for the S&P 500 were flat, while futures for the Dow Jones Industrial Average fell 0.1%. Nasdaq futures rose 0.2%. Following a bigger jump on Monday, oil prices at first retreated overnight before rebounding early Tuesday. U.S. crude was up 25 cents at $58.57 per barrel, while Brent crude gained 30 cents to $62.06 per barrel. It was a similar story for energy companies, which made smaller gains overnight after bigger jumps on Monday. Chevron and Exxon were both up less than 1% before markets opened on Tuesday. The oil market is a key focus after the capture Maduro. Venezuela’s oil industry has been decimated by neglect and international sanctions and may require years of substantial investments to restore past production levels. President Donald Trump said the U.S. plans to take control of Venezuela’s oil industry and ask American companies to revitalize it. Technology companies, especially those developing artificial intelligence, are in the spotlight this week as the industry kicked off its annual CES trade show in Las Vegas. AI advances helped propel the broader market to a serie...
At CES 2026, NVIDIA unveiled its next-generation Rubin AI platform, six tightly integrated chips led by the Vera CPU and Rubin GPU, now in full production and slated for broad deployment by major cloud providers and AI labs from the second half of 2026. By pairing Rubin with ecosystem moves such as Red Hat’s Day 0 support, CoreWeave’s planned Rubin roll-out, and new BlueField-4-based context memor...
At CES 2026, NVIDIA unveiled its next-generation Rubin AI platform, six tightly integrated chips led by the Vera CPU and Rubin GPU, now in full production and slated for broad deployment by major cloud providers and AI labs from the second half of 2026. By pairing Rubin with ecosystem moves such as Red Hat’s Day 0 support, CoreWeave’s planned Rubin roll-out, and new BlueField-4-based context memory and robotics and autonomous driving stacks, NVIDIA is pushing AI toward rack-scale “AI factories” spanning data centers, vehicles, and physical robots. We'll now examine how Rubin’s rack-scale, full-stack AI design and ecosystem adoption could reshape NVIDIA's existing investment narrative. Uncover the next big thing with financially sound penny stocks that balance risk and reward. NVIDIA Investment Narrative Recap To own NVIDIA, you have to believe that AI infrastructure spending remains robust enough for the company to monetize its full stack Rubin “AI factory” roadmap, while it manages mounting competition and regulatory scrutiny. The CES 2026 Rubin launch supports the near term catalyst of hyperscaler and AI lab deployments from the second half of 2026, while the biggest current risk is that hyperscalers’ in house chips and any slowdown in AI capex could erode that demand. Among the recent announcements, Red Hat’s Day 0 support for the Rubin platform looks especially relevant, because it reinforces Rubin as an enterprise grade standard across hybrid cloud, not just a new GPU. If Rubin based racks ship into major clouds as planned, this Red Hat integration could help sustain NVIDIA’s AI data center narrative even if individual customers push harder on custom silicon. Yet behind the Rubin excitement, investors should also be aware that concentrated hyperscaler demand and their own custom chip efforts could... Read the full narrative on NVIDIA (it's free!) NVIDIA's narrative projects $337.2 billion revenue and $187.9 billion earnings by 2028. Uncover how NVIDIA's forecas...
At CES 2026, NVIDIA unveiled its next-generation Rubin AI platform, six tightly integrated chips led by the Vera CPU and Rubin GPU, now in full production and slated for broad deployment by major cloud providers and AI labs from the second half of 2026. By pairing Rubin with ecosystem moves such as Red Hat’s Day 0 support, CoreWeave’s planned Rubin roll-out, and new BlueField-4-based context memor...
At CES 2026, NVIDIA unveiled its next-generation Rubin AI platform, six tightly integrated chips led by the Vera CPU and Rubin GPU, now in full production and slated for broad deployment by major cloud providers and AI labs from the second half of 2026. By pairing Rubin with ecosystem moves such as Red Hat’s Day 0 support, CoreWeave’s planned Rubin roll-out, and new BlueField-4-based context memory and robotics and autonomous driving stacks, NVIDIA is pushing AI toward rack-scale “AI factories” spanning data centers, vehicles, and physical robots. We'll now examine how Rubin’s rack-scale, full-stack AI design and ecosystem adoption could reshape NVIDIA's existing investment narrative. Uncover the next big thing with financially sound penny stocks that balance risk and reward. NVIDIA Investment Narrative Recap To own NVIDIA, you have to believe that AI infrastructure spending remains robust enough for the company to monetize its full stack Rubin “AI factory” roadmap, while it manages mounting competition and regulatory scrutiny. The CES 2026 Rubin launch supports the near term catalyst of hyperscaler and AI lab deployments from the second half of 2026, while the biggest current risk is that hyperscalers’ in house chips and any slowdown in AI capex could erode that demand. Among the recent announcements, Red Hat’s Day 0 support for the Rubin platform looks especially relevant, because it reinforces Rubin as an enterprise grade standard across hybrid cloud, not just a new GPU. If Rubin based racks ship into major clouds as planned, this Red Hat integration could help sustain NVIDIA’s AI data center narrative even if individual customers push harder on custom silicon. Yet behind the Rubin excitement, investors should also be aware that concentrated hyperscaler demand and their own custom chip efforts could... Read the full narrative on NVIDIA (it's free!) NVIDIA's narrative projects $337.2 billion revenue and $187.9 billion earnings by 2028. Uncover how NVIDIA's forecas...
Dozens of skiers created a heart shape on the slopes of Crans-Montana to mourn the victims of the deadly bar fire on New Year's Eve. Forty people were killed at the bar where the fire began, while 119 others were injured. Swiss prosecutors have opened a criminal investigation into the managers of Le Constellation bar.
Dozens of skiers created a heart shape on the slopes of Crans-Montana to mourn the victims of the deadly bar fire on New Year's Eve. Forty people were killed at the bar where the fire began, while 119 others were injured. Swiss prosecutors have opened a criminal investigation into the managers of Le Constellation bar.
China risks losing access to satellite tracking stations and other sensitive technology infrastructure in Venezuela after the United States seized control of the country’s leadership and transferred its president Nicolas Maduro to New York for trial. Beijing’s embedded assets – from satellite ground stations to oilfield systems and telecommunications networks – could be compromised after US Presid...
China risks losing access to satellite tracking stations and other sensitive technology infrastructure in Venezuela after the United States seized control of the country’s leadership and transferred its president Nicolas Maduro to New York for trial. Beijing’s embedded assets – from satellite ground stations to oilfield systems and telecommunications networks – could be compromised after US President Donald Trump said Washington would “run” Venezuela and “fix oil infrastructure” in the country with the world’s largest crude reserves. The El Sombrero tracking station at the Captain Manuel Rios airbase, along with its backup in Luepa, Bolivar state, supports Venezuela’s only active remote sensing satellite and is among the few overseas ground facilities accessible to China. Venezuela’s only active remote sensing satellite facility, at the Captain Manuel Rios airbase, was developed and built by China. Photo: Handout Built by the state-owned China Great Wall Industry Corporation, the stations handle telemetry, tracking and command operations for VRSS‑2, a civilian Earth observation satellite that China developed and launched for Venezuela in 2017. Advertisement Though intended for Venezuela’s domestic needs, the stations may also support China’s broader satellite tracking and data relay efforts, especially as Beijing’s expanding space ambitions face limits in securing overseas ground infrastructure due to geopolitical tensions. China is also Venezuela’s largest foreign investor and one of the top buyers of its oil, with deep footprints across the petroleum sector that may now be in jeopardy. Advertisement According to a China National Petroleum Corporation pamphlet from 2014, Chinese engineers helped to overhaul Venezuela’s ageing oilfields with modern drilling rigs, waterflooding systems and refinery upgrades that boosted output by as much as eightfold in some areas.
is a senior editor and author of Notepad , who has been covering all things Microsoft, PC, and tech for over 20 years. Posts from this author will be added to your daily email digest and your homepage feed. Nvidia is announcing its next major update to its Deep Learning Super Sampling (DLSS) feature at CES today. DLSS 4.5 includes Nvidia’s second-generation Super Resolution transformer model and a...
is a senior editor and author of Notepad , who has been covering all things Microsoft, PC, and tech for over 20 years. Posts from this author will be added to your daily email digest and your homepage feed. Nvidia is announcing its next major update to its Deep Learning Super Sampling (DLSS) feature at CES today. DLSS 4.5 includes Nvidia’s second-generation Super Resolution transformer model and a new 6x Multi Frame Generation mode for RTX 50-series GPUs that uses AI to generate up to five additional frames for every single rendered one. DLSS 4.5 will be available for all RTX GPUs today, but will run the fastest on Nvidia’s latest RTX 40- and 50-series cards. The latest transformer model is designed to improve image quality overall and reduce some of the artifacting that we saw with DLSS 4. The main DLSS 4.5 features will benefit all RTX owners. Image: Nvidia “This second-generation model is our most sophisticated yet,” says Henry Lin, director of product management at Nvidia, in a briefing with The Verge. “It utilizes 5x the compute power over the original transformer model, it’s trained on a significantly expanded high-fidelity dataset, and it also takes full advantage of our GeForce RTX 40- and 50-series GPUs, which benefit from faster and more advanced Tensor Cores.” Nvidia has updated its DLSS model to better understand scenes in games so it can use game engine data to improve lighting, finer edges, and motion clarity. In a briefing, Nvidia demonstrated improvements to DLSS 4.5 in a variety of games. Ghosting is reduced in The Elder Scrolls IV: Oblivion Remastered, anti-aliasing is improved in Indiana Jones and the Great Circle, and there is less shimmering in certain scenes in Kingdom Come: Deliverance II. Nvidia’s new 6x Multi Frame Generation is designed for 240Hz monitors. Image: Nvidia While the AI model improvements to DLSS 4.5 will benefit all RTX owners today, Nvidia is also launching a new 6x Multi Frame Generation mode for RTX 50-series owners in spri...
Artificial intelligence took center stage at CES 2026 as AMD's Lisa Su unveiled new details about its Helios rack-scale AI platform and next-generation Instinct MI400-series GPUs, underscoring the company's push to scale AI and high-performance computing (HPC) from enterprise data centers to hyperscale deployments. Su called it the "world's best AI rack." At the heart of AMD's announcement is Heli...
Artificial intelligence took center stage at CES 2026 as AMD's Lisa Su unveiled new details about its Helios rack-scale AI platform and next-generation Instinct MI400-series GPUs, underscoring the company's push to scale AI and high-performance computing (HPC) from enterprise data centers to hyperscale deployments. Su called it the "world's best AI rack." At the heart of AMD's announcement is Helios, the company's first rack-scale system solution for AI and HPC workloads. Built on AMD's upcoming Zen 6-based EPYC Venice processors, Helios integrates 72 Instinct MI455X accelerators delivering a combined 31TB of HBM4 memory and an aggregate bandwidth of 1.4PB/s. AMD says the platform is capable of up to 2.9 FP4 exaFLOPS for AI inference and 1.4 FP8 exaFLOPS for AI training, positioning it for the most demanding large-scale AI deployments. Due to its significant power and cooling requirements, Helios is designed for modern AI data centers with advanced infrastructure. AMD described the system as a foundation for next-generation AI clusters rather than a drop-in upgrade for legacy facilities. Instinct MI400 Series Targets Precision-Specific Workloads Alongside Helios, AMD outlined its broader Instinct MI400X accelerator family, which will be the first GPUs produced using TSMC's 2nm-class (N2) manufacturing process. The lineup spans multiple variants tailored to specific workloads and precision needs, all based on the CDNA 5 architecture. The MI440X and MI455X focus on low-precision AI workloads such as FP4, FP8, and BF16, while the previously announced MI430X supports both AI and traditional HPC tasks with full FP32 and FP64 precision. By specializing each accelerator for a defined precision envelope, AMD says it can reduce redundant logic and improve power efficiency and cost effectiveness. The MI440X also powers AMD's new Enterprise AI platform — a standard rack-mounted server pairing a single EPYC Venice CPU with eight MI440X GPUs. AMD is positioning this system as an...