logo
Samsung Elec signs chip supply deal with Tesla, sources say

Samsung Elec signs chip supply deal with Tesla, sources say

Reuters10 hours ago
SEOUL, July 28 (Reuters) - Samsung Electronics (005930.KS), opens new tab has signed a deal to supply chips to Tesla Inc (TSLA.O), opens new tab, two people briefed about the matter told Reuters on Monday, in a significant boost to the South Korean tech giant's loss-making contract manufacturing business.
On Saturday, Samsung announced a $16.5 billion chip supply deal with a major global company, without naming the client. It said the customer had requested confidentiality about the details of the deal, which will run through the end of 2033.
The deal comes as Samsung faces mounting pressure in the race to produce artificial intelligence chips, where it trails rivals such as TSMC and SK Hynix (000660.KS), opens new tab. This lag has weighed heavily on its profits and share price.
Samsung, the world's top memory chip maker, also makes logic chips designed by customers through its foundry business.
Pak Yuak, an analyst at Kiwoom Securities, said the latest deal would help reduce losses at Samsung's foundry business, which he estimated exceeded more than 5 trillion won ($3.63 billion) in the first half of the year.
Analysts say Samsung had struggled with the defection of key clients to TSMC for advanced chips. TSMC counts Apple (AAPL.O), opens new tab, Nvidia (NVDA.O), opens new tab and Qualcomm (QCOM.O), opens new tab among its customers.
The deal with Tesla comes as South Korea is seeking U.S. partnerships in chips and shipbuilding amid last-ditch efforts to reach a trade deal to eliminate or cut potential 25% U.S. tariffs.
It is not clear how the order would affect Samsung's plan to start production at its new factory in Texas, which has been delayed as it had struggled to win major customers.
Samsung is grappling to boost production yields of its latest 2-nanometer technology, and the order is unlikely to involve the cutting-edge tech, Lee Min-hee, an analyst at BNK Investment & Securities, said.
Samsung has been losing market share to TSMC in contract manufacturing, underscoring technological challenges the firm faces in mastering advanced chip manufacturing to attract clients like Apple and Nvidia, analysts said.
($1 = 1,378.7000 won)
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Wall Street poised for higher open on US–EU deal optimism
Wall Street poised for higher open on US–EU deal optimism

Reuters

time23 minutes ago

  • Reuters

Wall Street poised for higher open on US–EU deal optimism

July 28 (Reuters) - Wall Street looked set for a higher open on Monday, as the trade agreement between Washington and the European Union bolstered sentiment at the start of a pivotal week featuring megacap earnings, a Federal Reserve meeting, and a looming U.S. tariff deadline. President Donald Trump and European Commission President Ursula von der Leyen announced a trade framework on Sunday, halving EU import tariffs to 15% from the 30% rate, threatened for August 1. At 8:18 a.m. ET, S&P 500 E-minis were up 10.25 points, or 0.16%, Nasdaq 100 E-minis were up 72.25 points, or 0.31%, and Dow E-minis were up 15 points, or 0.03%. The anticipation of the U.S.-EU deal had propelled the S&P 500 and the Nasdaq to record closes on Friday, with the Dow about 0.4% shy of its all-time high. A series of agreements with key U.S. trade partners, including Japan, Indonesia and the Philippines, helped Wall Street notch robust gains last week. "The deal optimism has boosted financial market risk appetite. Futures point to new all-time highs for U.S. equity markets," said Elias Haddad, senior markets strategist at Brown Brothers Harriman. The latest pact with the 27-member bloc has raised expectations that a global trade war could be averted. Global economies are scrambling to finalize agreements before the Friday deadline. U.S.-China talks later on Monday are expected to extend their fragile trade truce by another three months, while negotiations with India were still underway. Markets' unprecedented run will be tested this week with earnings from "Magnificent Seven" tech titans Meta (META.O), opens new tab, Microsoft (MSFT.O), opens new tab, Amazon (AMZN.O), opens new tab and Apple (AAPL.O), opens new tab, which could set the tone for Wall Street. Last week, Alphabet (GOOGL.O), opens new tab surprised Wall Street with a bold capital spending hike, reviving AI optimism, even as Tesla cast a shadow by warning of tough quarters ahead amid shrinking electric vehicle subsidies. Tesla rose 1.5% in premarket trading after the automaker signed a $16.5 billion deal to source chips from Samsung Electronics ( opens new tab. A key highlight of the week will be the Fed's two-day policy meeting starting Tuesday, with traders widely expecting the central bank to keep interest rates steady. As per the CME Group's FedWatch tool, odds for a September cut stand at 63%. The meeting comes amid an aggressive campaign by the White House to pressure the Fed into lowering borrowing costs. Trump on Friday suggested Powell might be ready to lower interest rates. Among a deluge of key economic indicators this week, attention will be on the Personal Consumption Expenditure report (PCE) - the Fed's preferred inflation measure - and non-farm payrolls data to gauge how tariffs have affected consumer prices and the labor market. Ether-linked companies Bitmine Immersion Technologies , GameSquare Holdings (GAME.O), opens new tab and BTCS (BTCS.O), opens new tab were up between 2.5% and 7% after Ethereum prices hit over a seven-month high. Nike (NKE.N), opens new tab rose 4.1% after J.P. Morgan upgraded the stock to "overweight" from "neutral" and said investors should "just buy it".

Qwen 3 Coder Agentic Coder Performance Tested
Qwen 3 Coder Agentic Coder Performance Tested

Geeky Gadgets

timean hour ago

  • Geeky Gadgets

Qwen 3 Coder Agentic Coder Performance Tested

What if coding wasn't just a skill but a conversation—one where your tools truly understood your intent and worked alongside you? Enter the Qwen 3 Coder, a new model that's reshaping how developers approach software creation. With a staggering 480 billion parameters and a innovative mixture-of-experts architecture, this innovation promises not just speed, but intelligence. Imagine a tool that can autonomously refactor sprawling codebases, generate SaaS prototypes, or even optimize workflows—all while you focus on solving the bigger problems. It's not just another coding assistant; it's a redefinition of what's possible in agentic coding. In this exploration, World of AI uncover how the Qwen 3 Coder and its companion, the Qwen Code CLI, are transforming development workflows. From outperforming industry giants like GPT-4.1 to automating repetitive tasks with natural language commands, this duo offers a glimpse into the future of coding. But how does it achieve such efficiency without sacrificing precision? And what does its open source flexibility mean for developers looking to tailor solutions to their unique needs? By the end, you might find yourself rethinking not just how you code, but how you innovate. Alibaba's Qwen 3 Coder Unveiled Enhancing Agentic Coding Capabilities The Qwen 3 Coder distinguishes itself with its ability to handle agentic coding tasks, tool utilization, and browser-based interactions. It has demonstrated superior performance in industry-standard benchmarks such as SwayBench and Spider Ader, outperforming leading models like Claude Sonnet 4 and OpenAI GPT-4.1. As an open source solution, it not only rivals proprietary models but also offers developers transparency and the flexibility to adapt the model to their specific needs. At the core of the Qwen 3 Coder is its mixture-of-experts architecture, which activates 35 billion parameters during inference to optimize efficiency. This design enables the model to address intricate coding challenges, such as generating complex simulations or refactoring extensive codebases. For instance, the Qwen 3 Coder can autonomously create a SaaS landing page or optimize a large-scale project with minimal user input, significantly reducing the time and effort required for such tasks. By using its advanced architecture, the model enables developers to focus on high-level problem-solving while automating routine processes. This combination of efficiency and adaptability makes it a valuable tool for modern software development. Optimizing Workflows with Qwen Code CLI The Qwen Code CLI is a powerful command-line interface tool that unlocks the full potential of the Qwen 3 Coder. By allowing natural language commands, it simplifies tasks such as code optimization, refactoring, and documentation generation. This tool is particularly effective for automating repetitive workflows, allowing developers to focus on more strategic aspects of their projects. Key features of the Qwen Code CLI include: Support for natural language commands to execute coding tasks with ease. Automation of repetitive workflows, minimizing manual effort and saving time. Advanced analysis and understanding of complex codebases for improved insights. Tools for automated testing and comprehensive documentation generation. The CLI integrates seamlessly with APIs such as Alibaba's ModelScope and OpenRouter, making sure compatibility with existing development environments. Additionally, it supports customization through a ' configuration file, allowing developers to tailor its functionality to meet specific project requirements. This flexibility ensures that the tool can adapt to a wide range of use cases, from small-scale projects to enterprise-level applications. Watch this video on YouTube. Expand your understanding of Qwen 3 Coder with additional resources from our extensive library of articles. Technical Features and Integration Designed with developers in mind, the Qwen 3 Coder and its CLI tool are straightforward to set up and integrate into existing workflows. To begin, developers need to have installed on their systems. Once configured, these tools can handle large codebases, connect to APIs, and provide enhanced functionality for a variety of tasks. The model's open source framework ensures that it remains flexible and adaptable to evolving development needs. Its ability to autonomously create prototypes and simulations further reduces development time, allowing teams to accelerate project timelines without compromising on quality. For example, the Qwen 3 Coder can generate a fully functional prototype or refactor an existing codebase with minimal manual intervention, making sure consistent and high-quality results. By integrating seamlessly into existing workflows, the Qwen 3 Coder enhances productivity and enables developers to achieve their objectives more efficiently. Its technical capabilities make it a versatile tool for addressing a wide range of coding challenges. Real-World Applications and Impact The Qwen 3 Coder has the potential to transform software development workflows by automating complex tasks and enhancing overall efficiency. Its ability to autonomously manage tasks such as creating prototypes, optimizing code, and generating documentation allows developers to focus on higher-level problem-solving and innovation. In practical applications, the Qwen 3 Coder has been used to: Generate functional prototypes for SaaS applications and other software projects. Streamline workflows by automating repetitive coding tasks. Improve code quality through advanced analysis and refactoring capabilities. Produce comprehensive documentation and automated testing frameworks. These capabilities make the Qwen 3 Coder an invaluable tool for developers working on diverse projects, from small-scale applications to large enterprise systems. By automating routine processes and enhancing productivity, it ensures consistent results and reduces the time required to complete complex tasks. Whether you are developing a SaaS application, automating testing, or generating detailed documentation, the Qwen 3 Coder provides the tools and functionality needed to achieve your goals efficiently. Its open source design and advanced architecture make it a versatile solution for addressing the challenges of modern software development. Media Credit: WorldofAI Filed Under: AI, Guides 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.

Agent Swarm 2.0 : 90% of AI Coding is Now Unnecessary
Agent Swarm 2.0 : 90% of AI Coding is Now Unnecessary

Geeky Gadgets

timean hour ago

  • Geeky Gadgets

Agent Swarm 2.0 : 90% of AI Coding is Now Unnecessary

What if 90% of the coding you do today could simply vanish from your to-do list? It sounds like a bold claim, but with the rise of AI-driven tools like Agent Swarm 2.0, this is no longer a distant dream—it's a reality reshaping how developers approach their craft. At the heart of this transformation lies the concept of sub-agents, specialized AI entities designed to handle specific tasks with precision and independence. Imagine delegating tedious debugging, UI design, or performance optimization to a network of intelligent agents, each working in perfect harmony. The result? A streamlined workflow that eliminates inefficiencies and frees developers to focus on creativity and strategy rather than repetitive grunt work. This overview by AI Labs explores how Agent Swarm 2.0 is redefining the boundaries of AI coding by introducing a new era of task-specific automation. You'll discover how sub-agents operate in isolated contexts to reduce errors, collaborate seamlessly to tackle complex workflows, and adapt to the unique demands of any project. From chaining agents for advanced automation to customizing their roles for precision, this innovation is poised to make traditional coding workflows feel obsolete. But is this the future of development or just another fleeting trend? Let's unpack the possibilities and challenges of this new shift. Sub-Agents in AI Coding Understanding Sub-Agents Sub-agents are purpose-built AI entities designed to handle distinct tasks within a coding workflow. Unlike traditional AI tools that attempt to manage multiple tasks simultaneously within a single context, sub-agents operate independently, each within its own isolated context window. This separation ensures cleaner task execution, reduces the likelihood of errors, and eliminates unnecessary clutter in the primary conversation thread. For instance, you can assign sub-agents to specific roles such as project manager, developer, UI designer, or QA engineer. Each agent focuses exclusively on its designated task, contributing to a more streamlined and cohesive development process. By isolating responsibilities, sub-agents enable developers to maintain clarity and focus throughout the workflow. The Importance of Sub-Agents Sub-agents bring a host of advantages to AI coding workflows, making them an essential tool for modern developers. Their benefits include: Task Specialization: Each sub-agent is optimized for a specific role, making sure precise and efficient task execution. Each sub-agent is optimized for a specific role, making sure precise and efficient task execution. Context Isolation: Isolated context windows prevent cross-task interference, maintaining clarity and reducing errors. Isolated context windows prevent cross-task interference, maintaining clarity and reducing errors. Enhanced Efficiency: Dedicated agents for individual tasks accelerate workflows and eliminate bottlenecks. Dedicated agents for individual tasks accelerate workflows and eliminate bottlenecks. Reusability: Sub-agents can be reused across multiple projects, saving time during setup and configuration. Sub-agents can be reused across multiple projects, saving time during setup and configuration. Controlled Tool Access: Developers can manage the tools and resources each agent uses, improving security and performance. This combination of task specialization, efficiency, and flexibility makes sub-agents a fantastic addition to AI-driven development workflows. Agent Swarm 2.0 Watch this video on YouTube. Explore further guides and articles from our vast library that you may find relevant to your interests in AI Agents. Setting Up Sub-Agents Configuring sub-agents is a straightforward process, offering both manual and autogenerated options. Developers can define agents for specific projects or personal use, depending on their requirements. The key to an effective setup lies in providing clear and detailed task descriptions, which enable the system to optimize each agent for its intended role. For example, if you require a UI design agent, you can specify parameters such as working with applications and integrating Shad CN components. The system will then configure the agent with the necessary tools and expertise to meet these requirements. This level of customization ensures that each sub-agent is perfectly suited to its assigned task, reducing setup time and improving overall efficiency. Practical Applications of Sub-Agents To illustrate the capabilities of sub-agents, consider a scenario where a UI design agent is tasked with creating a application. The agent can seamlessly integrate Shad CN components, apply custom themes using tools like Tweak CN, and connect to MCP servers for smooth execution. This level of automation significantly reduces the need for manual intervention, allowing developers to focus on higher-level tasks such as strategy and innovation. Sub-agents also excel in scenarios requiring collaboration between multiple agents. For instance, a performance analysis agent can work alongside an optimization agent to identify and resolve inefficiencies in a codebase. This collaborative approach ensures precision at every step of the workflow, delivering consistent and reliable results. Chaining Sub-Agents for Complex Workflows One of the most powerful features of sub-agents is their ability to work together in a chained sequence. By integrating custom commands, developers can automate complex workflows involving multiple agents. This approach is particularly useful for tasks that require input from various specialized agents. For example, you might chain a data analysis agent with a visualization agent to process raw data and generate insightful reports. Similarly, a testing agent can be chained with a debugging agent to identify and resolve issues in a software application. This flexibility allows developers to adapt workflows to the specific demands of their projects, making sure both efficiency and accuracy. Advantages of Sub-Agent Integration The adoption of sub-agents in AI coding workflows offers numerous benefits that enhance both productivity and precision: Reduced Manual Effort: Automating repetitive tasks allows developers to focus on strategic objectives and creative problem-solving. Automating repetitive tasks allows developers to focus on strategic objectives and creative problem-solving. Higher Accuracy: Task-specific agents minimize errors, delivering consistent and reliable results. Task-specific agents minimize errors, delivering consistent and reliable results. Flexibility: Sub-agents can be customized to meet the unique demands of each project, making sure optimal performance. Sub-agents can be customized to meet the unique demands of each project, making sure optimal performance. Scalability: The ability to chain multiple agents enables developers to tackle increasingly complex workflows with ease. These advantages make sub-agents an indispensable tool for developers seeking to optimize their workflows and achieve greater efficiency. Getting Started with Sub-Agents Claude Code provides extensive resources to help developers harness the full potential of sub-agents. These include detailed documentation, tutorials, and GitHub collections featuring pre-built agents. Developers can explore examples of chaining sub-agents with custom commands, allowing them to create advanced automation workflows with minimal effort. Whether you're building a application, optimizing performance, or managing complex workflows, sub-agents offer the tools and flexibility needed to succeed in today's fast-paced development landscape. Media Credit: AI LABS Filed Under: AI, 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.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store