US, Mexico close to deal that would cut steel tariffs, Bloomberg reports
June 10 (Reuters) - The United States and Mexico are close to a deal that would get rid of 50% tariffs that U.S. President Donald Trump has imposed on Mexican steel imports up to a certain volume, Bloomberg News reported on Tuesday, citing people familiar with the matter.
The terms of the agreement, which haven't been finalized, would allow U.S. companies to import Mexican steel tariff-free as long as total shipments are kept below a level based on historical trade volumes, Bloomberg reported.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Reuters
10 minutes ago
- Reuters
Major Gulf markets retreat on geopolitics
June 12 (Reuters) - Major stock markets in the Gulf fell in early trade on Thursday amid uncertainty following the U.S. decision to relocate personnel from the Middle East ahead of nuclear talks with Iran. U.S. President Donald Trump said on Wednesday U.S. personnel were being moved out of the Middle East because "it could be a dangerous place," adding that the United States would not allow Iran to have a nuclear weapon. Reuters reported on Wednesday that the U.S. is preparing a partial evacuation of its Iraqi embassy and will allow military dependents to leave locations around the Middle East due to heightened security risks in the region, according to U.S. and Iraqi sources. Saudi Arabia's benchmark index (.TASI), opens new tab dropped 1.3% as almost all its constituents were in negative territory including Al Rajhi Bank ( opens new tab, which was down 0.6%. Among other losers, oil giant Saudi Aramco ( opens new tab was down 0.4%. The decision by the U.S. to evacuate some personnel comes at a volatile moment in the region. Trump's efforts to reach a nuclear deal with Iran appear to be deadlocked and U.S. intelligence indicates that Israel has been making preparations for a strike against Iran's nuclear facilities. Iranian Defence Minister Aziz Nasirzadeh said on Wednesday that if Iran was subjected to strikes it would retaliate by hitting U.S. bases in the region. Dubai's main share index (.DDFMGI), opens new tab retreated 1.7%, its biggest intraday fall since April, dragged down by losses across sectors and led by a 3% slide in blue-chip developer Emaar Properties ( opens new tab. In Abu Dhabi, the index (.FTFADGI), opens new tab fell 1%, hit by a 2% fall in ADNOC Gas ( opens new tab. The Qatari index (.QSI), opens new tab traded 0.8% lower, with petrochemical maker Industries Qatar ( opens new tab losing 1%.
Reuters
10 minutes ago
- Reuters
Breakdown of U.S. tariffs on China since Trump's first term
BEIJING, June 12 (Reuters) - Billions of dollars of Chinese goods have been impacted by additional U.S. tariffs since 2018, initially under the first Donald Trump presidency and later under the Biden administration. Returning to the White House this year, Trump has imposed even more duties on China. The U.S. tariffs range from those imposed under Section 301 of its trade act due to what Washington claims are unfair Chinese trade practices, to duties under Section 232 levied for national security reasons. This year, Trump has imposed another 20% levies on all Chinese goods, saying Beijing has not done enough to stop the flow of fentanyl into the United States. So-called reciprocal tariffs, under which the U.S. will match duties imposed by other countries, have also been levied in a bid to rebalance trade flows. Below are the U.S. tariffs on China effective as of June 12, 2025: In September 2019, the U.S. imposed 15% tariffs on more than $120 billion of Chinese goods under Section 301, which it then halved to 7.5% less than six months later. The 25% U.S. tariffs on $250 billion of Chinese goods under the earlier List 1-3 remain unchanged. In September 2024, the U.S. Trade Representative under the Biden administration announced additional tariffs of 25-100% on 14 product groups following a four-year review of the Section 301 tariff actions. The levies were imposed on strategic Chinese sectors or sectors where the United States has made significant domestic investments. In addition to the above duties, the first Trump administration in 2018 imposed a range of tariffs under Section 232 aimed at restricting goods deemed a threat to national security, including all aluminium and steel imports, shutting most Chinese suppliers out of the U.S. market.
Geeky Gadgets
11 minutes ago
- Geeky Gadgets
NVIDIA DGX Spark : World's First 128GB LLM Mini System with GB10 Grace Blackwell Superchip
What if the future of artificial intelligence wasn't just smarter but also smaller? Imagine a system so compact it could fit into the tightest spaces, yet powerful enough to process vast datasets and deliver real-time insights. Enter the NVIDIA DGX Spark the world's first 128GB Large Language Model (LLM), a new leap in AI technology. By condensing the capabilities of massive AI systems into a sleek, efficient design, this innovation challenges the notion that bigger is always better. Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark delivers 1 petaFLOP of AI performance. With the NVIDIA AI software stack preinstalled and 128GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, Google, and others with up to 200 billion parameters locally In this video, Alex Ziskind explores how the 128GB LLM system is reshaping the AI landscape. From its remarkable balance of power and portability to its ability to tackle complex tasks across industries like healthcare, finance, and logistics, this compact powerhouse is setting a new standard for what AI systems can achieve. You'll discover how its energy-efficient design not only boosts performance but also aligns with sustainability goals, making it a forward-thinking solution for modern challenges. As we unpack its features and applications, one question lingers: Could this be the start of a new era where AI is not just smarter but also more accessible? NVIDIA DGX Spark 128GB LLM Mini Overview Key Features of the 128GB LLM Mini The NVIDIA DGX Spark 128GB LLM system stands out as a new achievement in AI technology. By integrating the capabilities of large-scale models into a compact framework, it addresses the increasing demand for high-performance AI systems that can function effectively in space-limited environments. Its design prioritizes portability without sacrificing computational power, making it an ideal choice for businesses, researchers, and innovators seeking to deploy advanced AI solutions without the need for extensive infrastructure. What sets the NVIDIA DGX Sparkapart is its ability to deliver robust performance while maintaining a compact form factor. This balance of power and portability ensures that it can meet the needs of diverse applications, from real-time data analysis to predictive modeling, all while operating efficiently in constrained spaces. Exceptional Performance for Complex Applications The NVIDIA DGX Spark is engineered to excel in handling complex and data-intensive tasks with remarkable speed and accuracy. Its high-capacity architecture enables it to process vast datasets efficiently, supporting real-time analysis and decision-making. This capability is particularly fantastic for industries that rely on actionable insights to address intricate challenges. Key sectors benefiting from this technology include: Healthcare: Using AI to analyze patient data, support diagnostics, and identify emerging health trends. Using AI to analyze patient data, support diagnostics, and identify emerging health trends. Finance: Enhancing risk assessment, fraud detection, and financial forecasting with precision and speed. Enhancing risk assessment, fraud detection, and financial forecasting with precision and speed. Logistics: Optimizing supply chain operations through predictive analytics and automation. By delivering reliable insights and automating decision-making processes, the 128GB LLM system enables industries to tackle complex challenges with greater efficiency and confidence. World's First 128GB LLM Mini Is Here Watch this video on YouTube. Unlock more potential in Large Language Models by reading previous articles we have written. Efficiency and Sustainability in AI Efficiency is a defining characteristic of the NVIDIA DGX Spark. Its design focuses on optimizing resource utilization to deliver advanced performance while minimizing energy consumption and processing time. This balance ensures consistent, high-speed outputs, making it a practical solution for applications requiring both reliability and sustainability. Examples of its use include: Natural language processing to enhance customer support systems with faster and more accurate responses. Predictive analytics for identifying market trends and improving business forecasting. Personalized recommendation systems in retail to improve customer engagement and satisfaction. The streamlined operation of the LLM system not only reduces operational overhead but also supports environmentally conscious AI development by lowering energy demands, making it a forward-thinking tool for modern industries. Adaptability Across Diverse Sectors The versatility of the NVIDIA DGX Spark ensures its applicability across a wide range of industries. Its scalable architecture allows businesses to customize the model to meet their specific needs, providing tailored solutions for unique challenges. Some of the key applications include: Retail: Enhancing customer experiences through AI-driven personalized shopping recommendations. Enhancing customer experiences through AI-driven personalized shopping recommendations. Healthcare: Supporting medical research, diagnostics, and patient care with data-driven insights. Supporting medical research, diagnostics, and patient care with data-driven insights. Finance: Streamlining operations, improving decision-making, and increasing overall efficiency. This adaptability positions the 128GB LLM unit as a critical tool for organizations aiming to maintain a competitive edge in an increasingly AI-driven landscape. Its ability to integrate seamlessly into various workflows ensures that it can meet the evolving demands of modern industries. Driving the Future of Artificial Intelligence The introduction of the NVIDIA DGX Spark powered by the NVIDIA GB10 Grace Blackwell Superchip represents a pivotal step forward in the development of artificial intelligence. Its compact design, combined with advanced computational capabilities and energy efficiency, establishes it as a cornerstone of next-generation AI technology. As industries continue to adopt AI-driven solutions, the LLM unit provides a scalable, high-capacity option that meets the demands of contemporary applications while paving the way for future advancements. By bridging the gap between performance and portability, the 128GB LLM system offers a practical and innovative solution for businesses, researchers, and innovators. Its ability to deliver powerful results in a compact form factor ensures that it will play a central role in shaping the future of AI, allowing new possibilities and driving progress across diverse sectors. Media Credit: Alex Ziskind Filed Under: AI, Hardware, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
