#amd

Helios Platform Reference Design Marks First Step in AI Factory Deployment Schneider Electric and AMD have unveiled a reference design for the AMD Helios rackscale solution, marking a significant milestone in their collaboration to streamline the deployment of high-density AI environments. The design serves as a scalable blueprint aimed at reducing complexity and risk while accelerating the implementation of AI factories. This partnership underscores both companies’ commitment to creating a unified approach for deploying advanced AI infrastructure. The reference design is the first of its kind to support high-density AI workloads on the Helios platform, which leverages AMD Instinct™ MI455X GPUs, 6th Gen AMD EPYC™ CPUs, AMD Pensando™ Vulcano NICs, and the open ROCm™ software ecosystem. AMD Helios is engineered to deliver enhanced AI performance through innovations in compute power, interconnect bandwidth, memory capacity, and system integration. These advancements enable customers to execute larger, more complex AI tasks with improved efficiency and reduced energy consumption. Manish Kumar, Executive Vice President of Secure Power & Data Centers at Schneider Electric, emphasized the importance of the collaboration. He stated that the reference design bridges the gap between cutting-edge AI compute platforms, energy technology, and real-world data center applications. By integrating Schneider Electric’s expertise in power management, cooling, and digital infrastructure with AMD’s AI platform innovations, the design aims to empower customers to deploy scalable, high-density AI environments with greater confidence and speed. Forrest Norrod, executive vice president and general manager of AMD’s Data Center Solutions Business Group, highlighted the shift toward full-scale AI factories.#amd #helios_platform #schneider_electric #amd_instinct_mi455x #amd_epyc_6th_gen

AMD Tops Q2 Earnings Estimates and Provides Strong Outlook, But Leaves Investors Unimpressed AMD reported second-quarter earnings that exceeded analyst expectations, with revenue reaching $11.5 billion and earnings per share (EPS) of $1.66, surpassing the Bloomberg consensus estimates of $11.3 billion in revenue and $1.62 in EPS. The company also raised its third-quarter revenue guidance to a range of $12.7 billion to $13.3 billion, above the $12.5 billion projected by analysts. Despite these positive results, AMD’s stock fell more than 8% following the announcement, indicating investor skepticism. The earnings report highlighted strong performance in key segments. Data center sales surged to $6.7 billion, up from $3.2 billion in the same period last year and exceeding analysts’ expectations of $6.5 billion. The client segment contributed $3.1 billion in revenue, slightly above the $3 billion forecast, while the gaming division generated $779 million, nearly matching the $781 million analysts had anticipated. Additionally, AMD reported capital expenditures of $808 million during the quarter, significantly higher than the previously estimated $298 million. CEO Lisa Su emphasized the company’s momentum, citing growing demand for its Epyc processors, expanding Instinct deployments, and the ramp-up of its Helios platform. She noted that AI is driving a surge in compute demand across all markets, positioning AMD to capitalize on long-term growth opportunities. “We enter the second half with strong momentum as Epyc demand accelerates, Instinct deployments scale, and Helios begins to ramp,” Su stated. However, the stock’s decline reflects broader challenges in the semiconductor industry.#nvidia #amd #lisa_su #philadelphia_semi_conductor_index #helios_platform

Nvidia: This Onetime Market Darling Is Now Surprisingly Undervalued Nvidia, once a standout stock in the tech sector, is now being viewed as a growth-at-a-reasonable-price opportunity by Morningstar analysts. The company, a major beneficiary of the AI boom in 2023, saw its stock price surge as demand for its graphics processing units (GPUs) and related technologies exploded. However, despite continued strong earnings growth this year, its current valuation has become more aligned with its long-term growth potential and fair value estimates. Morningstar analysts argue that Nvidia’s stock is trading 30% below their $280 fair value projection, positioning it as a potential bargain given the high likelihood of sustained AI capital expenditures in the near to long term. Nvidia’s core business revolves around providing the hardware, software, and networking tools that underpin the rapidly expanding artificial intelligence market. Its GPUs, which excel at parallel processing, have become essential for running the complex matrix multiplication algorithms that power AI models. The company’s Cuda software platform, which runs exclusively on Nvidia GPUs, has further solidified its dominance by creating high customer switching costs. While tech giants may eventually seek alternative solutions or in-house chip development to reduce reliance on Nvidia, these efforts are expected to only marginally impact the company’s market position. Morningstar’s analysis highlights Nvidia’s strong economic moat, which is built on intangible assets such as its proprietary software and the entrenched use of its GPUs in AI workflows. The company’s dominance in AI model training and inference has been reinforced by its data center GPUs and Cuda platform, which have established it as the leading vendor in these areas.#ai #nvidia #amd #morningstar #cuda

Will TSMC’s Capacity Crunch Derail The AMD Stock Rally? AMD’s stock has surged nearly fourfold in the past year, driven by its EPYC CPUs capturing significant market share from Intel and the MI400 GPUs establishing themselves as a formidable competitor to Nvidia. However, a critical physical limitation—advanced packaging capacity—threatens to undermine this growth. TSMC’s CoWoS technology, essential for integrating chiplets into AI accelerators, is severely constrained. The company has fully booked its CoWoS capacity through 2026, with lead times ranging from 52 to 78 weeks. This scarcity has created a bottleneck that could hinder AMD’s ability to meet rising demand for its products. The issue stems from the unique demands of AI accelerators, which rely heavily on advanced packaging to combine processing dies and high-bandwidth memory. TSMC’s CoWoS technology is currently the industry standard, and no other manufacturer can match its capabilities. TSMC’s CEO highlighted in June 2026 that the company’s CoWoS capacity remains exceptionally limited, with expansion requiring years of planning and investment. This means the constraint is unlikely to ease in the near term, creating a persistent challenge for AMD and other companies reliant on the technology. Nvidia has secured the majority of TSMC’s CoWoS capacity, claiming approximately 60% of the production, or around 595,000 wafers. The top three clients collectively account for over 85% of total output, leaving AMD with only about 105,000 wafers, or roughly 11% of the total need. This allocation highlights the stark imbalance in access to advanced packaging resources. While demand for AI accelerators is growing, the scarcity of packaging capacity has shifted the bottleneck from demand to supply. AMD’s situation is further complicated by its internal competition for limited resources.#amd #tsmc #co_wos #epyc_cpus #mi400_gpus

Anthropic Launches Opus 4.7, Stellantis and Microsoft Ink 5-Year AI Pact, AMD Strengthens French AI Partnership Anthropic has unveiled the latest iteration of its advanced large language model (LLM), Opus 4.7, which powers its Claude Code platform. The update builds on the features introduced in the February 2024 release of Opus 4.6, including a context window of 1 million tokens, multi-step reasoning capabilities, long-term task management, and agent coordination. Opus 4.7 further enhances integration with third-party tools such as Microsoft PowerPoint and Figma. Notably, it incorporates cybersecurity elements from the Glasswing project, which includes the Claude Mythos model capable of autonomously identifying software vulnerabilities at scale. Anthropic emphasizes that Opus 4.7 includes limited capabilities to automatically detect and block requests related to prohibited or high-risk cybersecurity activities. The model is now accessible via Claude, APIs, Amazon Bedrock, Google Cloud’s Vertex AI, and Microsoft Foundry, with pricing unchanged at $5 per million input tokens and $25 per million output tokens. Stellantis has announced a strategic five-year collaboration with Microsoft to accelerate its digital transformation. The partnership focuses on co-developing advanced AI, cybersecurity, and engineering capabilities. Key initiatives include over 100 AI-driven projects across customer service, product development, and operations, such as enriched product development, predictive maintenance, and accelerated deployment of digital features. The agreement also mandates the establishment of a global AI-powered cyber defense center to monitor and respond to threats across Stellantis’ IT systems, connected vehicles, production sites, and digital tools.#microsoft #france #amd #anthropic #stellantis

TSMC Posts Record Profits on Continued AI Demand Taiwan Semiconductor Manufacturing Company (TSMC) reported a 58% surge in first-quarter profits on Thursday, surpassing analyst expectations and setting a new record as demand for artificial intelligence chips remains robust. The company’s results highlight the growing importance of advanced semiconductor technology in the global tech landscape, driven by the proliferation of AI applications and sustained interest from major clients. TSMC’s revenue for the quarter reached NT$1.134 trillion ($35 billion), exceeding the NT$1.127 trillion forecast by financial analysts. This marks the fourth consecutive quarter of record-breaking revenue, reflecting the company’s ability to capitalize on rising demand for high-performance chips. Net income climbed to NT$572.48 billion, compared to NT$543.32 billion in the same period last year. The strong financial performance underscores TSMC’s dominant position in the semiconductor industry, where it leads in manufacturing cutting-edge chips for leading technology firms. Advanced semiconductor chips, including those with 7-nanometer or smaller process nodes, accounted for approximately 74% of TSMC’s total wafer revenue during the quarter. This highlights the company’s strategic focus on producing next-generation chips that enable faster, more efficient computing. Among these, shipments of its most advanced 3-nanometer chips contributed 25% of total wafer revenue, demonstrating the significant market demand for TSMC’s leading-edge technology. The surge in profits is largely attributed to the continued growth of AI-driven applications, which require high-performance processors to handle complex computations. TSMC has benefited from partnerships with major technology companies, including Apple, Nvidia, and AMD.#apple #nvidia #middle_east_conflict #amd #taiwan_semiconductor_manufacturing_company

Buy Tata Consultancy Services for the Target Rs.3,350 by Choice Institutional Equities Tata Consultancy Services (TCS) has delivered a strong quarterly performance, with revenue exceeding expectations and robust deal wins reinforcing its growth trajectory despite a challenging macroeconomic environment. The company reported Q4FY26 revenue of USD 7.6 billion, representing a 1.5% sequential increase compared to the previous quarter, and a 5.4% rise in Indian rupees (INR) terms. For the full fiscal year 2026, revenue stood at USD 30 billion, slightly down 0.5% year-over-year, though it remained 4.6% higher in INR terms compared to the prior year. The company’s earnings before interest and tax (EBIT) margin for the quarter was 25.3%, aligning with the expectations of Choice Institutional Equities (CIE). Excluding one-time charges such as those related to the Labour Code changes, restructuring expenses, and other costs incurred in the previous quarter, the reported profit after tax (PAT) grew by 28.7% sequentially, outperforming CIE’s estimate of 27.7% growth. This resilience in profitability underscores TCS’s ability to maintain margins even amid macroeconomic headwinds. A key highlight of the quarter was the company’s strong total contract value (TCV) performance. TCS recorded a TCV of USD 12 billion for Q4FY26, driven by five major deals and a strategic shift toward vendor consolidation and AI-led transformation. The full-year TCV for FY26 reached USD 40.7 billion, reflecting sustained momentum in deal wins.#tata_consultancy_services #amd #openai #choice_institutional_equities #marks_and_spencer

AMD Stock Surges Amid Optimism for Strong Q1 Results Shares of Advanced Micro Devices (AMD) rose sharply this morning as investors regained confidence in the tech sector’s recovery, driven by strong first-quarter sales reports from Taiwan Semiconductor Manufacturing Company (TSMC). The semiconductor giant’s 35% sales growth to $35.6 billion in Q1 2026 signaled sustained demand for AI processors, which has bolstered expectations for AMD’s upcoming financial results. Investors are closely watching AMD’s Q1 2026 report, scheduled for May 5, hoping the company will mirror TSMC’s performance in its data center segment. TSMC’s results provided a clear indicator of the semiconductor market’s resilience, with its sales growth reflecting robust demand for advanced chips used in artificial intelligence applications. This trend has positioned AMD to benefit from similar AI-driven demand, as the company’s data center business already delivered record revenue of $5.4 billion in Q4 2025, a 39% increase from the previous year. Analysts believe TSMC’s strong showing could translate into higher sales for AMD, particularly as the company ramps up production of its next-generation chips for cloud computing and AI workloads. AMD’s stock climbed 6.4% by 10:58 a.m. ET, reflecting renewed optimism about its ability to capitalize on the AI supercycle. The stock’s rise follows a broader market recovery, with investors increasingly betting on semiconductor companies to outperform amid signs of stabilization in the tech sector. However, the optimism is tempered by ongoing geopolitical tensions, including the potential for further de-escalation between Iran and the U.S.#iran #kamala_harris #amd #taiwan_semi_manufacturing_company

Samsung's new Exynos 1680 SoC is on par with Snapdragon Samsung has released its latest Exynos 1680 chipset, set to power the upcoming Galaxy A57 5G device. The processor is built using a 4-nanometer manufacturing process, which is designed to enhance efficiency and performance. It features an octa-core architecture and incorporates AMD’s RDNA 3 technology through its Xclipse 550 GPU, offering improved graphics capabilities. The chipset is already in mass production, and consumers can expect to see it integrated into new Samsung smartphones in the near future. The Exynos 1680 is positioned to deliver faster processing speeds and enhanced visual quality. It includes a Neural Processing Unit capable of up to 19.6 TOPS, which supports advanced AI functions. The chipset also supports high-resolution 200MP cameras, ensuring detailed image capture. Additionally, it handles full HD+ displays at refresh rates up to 144Hz, providing a smooth experience for gaming and content creation. Users will benefit from a 16% improvement in GPU performance, along with features like Wi-Fi 6E, Bluetooth connectivity, and robust 5G support for both sub-6GHz and mmWave frequencies. These upgrades are expected to improve overall device performance, enhance multimedia experiences, and ensure faster data transfer speeds.#samsung #amd #galaxy_a57_5g #exynos_1680 #xclipse_550

Partnerships with chipmakers and OEMs are essential for constructing next-generation data centers based on advanced semiconductor technology. Aarthi Subramanian, executive director and president of Tata Consultancy Services, emphasized that the company is actively pursuing such collaborations to drive innovation in this space. In a recent discussion, Subramanian highlighted the evolving landscape of industry partnerships, noting that while some collaborations are exclusive, others involve broader participation. She referenced TCS's partnership with AMD, which introduced a rack-scale reference architecture called Helios to India, as a key example of how chipmakers and technology firms are working together. This collaboration underscores the growing importance of partnerships in developing scalable data center solutions. Subramanian also outlined three primary focus areas for TCS in recent months. The first is fostering partnerships between chipmakers and OEMs to establish the foundational infrastructure for advanced data centers. The second involves leveraging cutting-edge technologies, such as AMD’s Helios architecture, to create efficient and high-performance computing environments. The third area centers on expanding OEM collaborations to ensure seamless integration of hardware and software across the entire data center ecosystem. She emphasized that these partnerships are critical for overcoming the complexities of building next-generation data centers, which require not only advanced chips but also robust infrastructure and software solutions. TCS’s efforts in this domain reflect a broader industry trend toward collaboration to meet the demands of emerging technologies like artificial intelligence and cloud computing.#data_centers #tata_consultancy_services #aarthi_subramanian #amd #helios_architecture