AUD 300,000 Purchase Order Kicks Off Deliveries Under August 14 Agreement; Accelerates AI Cloud Infrastructure Build-Out in MalaysiaKUALA LUMPUR, Malaysia, Aug. 14, 2025 (GLOBE NEWSWIRE) -- Treasure Global Inc. (NASDAQ: TGL) (“Treasure Global” or the “Company”), a technology solutions provider specializing in innovative platforms that drive digital transformation in retail and services, today announced the receipt of a AUD 300,000 purchase order for high-performance graphic processing units (GPUs) and speci ...

Core Insights - The article discusses the significant growth of Rigetti Computing, Inc. (RGTI) in the quantum computing sector, highlighting its impressive stock performance compared to NVIDIA Corporation (NVDA) during the AI boom [2][10]. Company Performance - NVIDIA's shares increased by 54.5% over the past year, driven by its leadership in GPU manufacturing and strong demand for AI technologies [2][8]. - Rigetti's stock surged by 1147.6% in the same period, showcasing its potential in the quantum computing market despite some volatility [2][10]. Product Development - Rigetti has launched its first quantum processing units (QPUs) for commercial use in 2023, including the 84-qubit Ankaa 3 system for government clients and a 9-qubit QPU for commercial clients [4]. - Future product plans include a 36-qubit system and a non-modular 100-qubit system set to launch in 2026 [4]. Market Outlook - The quantum computing market is projected to be substantial, with estimates ranging from $90 billion to $198 billion by various consulting firms [6]. - Rigetti's strategy includes offering modular and non-modular QPUs, cloud-based platforms, and flexible deployment options, which may enhance its competitive position against larger firms like IBM [5]. Financial Performance - Rigetti's first-quarter revenues were reported at $1.5 million, reflecting a 52.5% year-over-year decline, while operating costs rose by 22% to $22.1 million [11]. - The company's high valuation is notable, with a forward price-to-sales (P/S) ratio of 527.41, significantly higher than the Internet - Software industry's average of 6.32 [12]. Investment Considerations - While Rigetti shows growth potential, the practical application of quantum computing is still years away, which may limit its immediate investment appeal [7]. - Current market conditions indicate that Rigetti's revenues are shrinking, and competition is intensifying, particularly from major tech players [9][11].

Group 1: AI Market Overview - Artificial intelligence (AI) is not just a technology trend but is transforming the world, making long-term investments in leading AI companies a smart move [1] - The article highlights five AI stocks that are recommended for long-term holding [3] Group 2: Nvidia - Nvidia is the clear leader in AI infrastructure, holding over 90% market share in the GPU market as of Q1, with data center revenue increasing more than 9x over the past two years [4] - The company's competitive advantage stems from its CUDA software platform, which has become the primary platform for GPU programming, fostering a rich ecosystem of libraries and tools for AI optimization [5] - Nvidia's auto segment is also experiencing growth, with revenue reaching $567 million last quarter and projected to hit $5 billion for the year, driven by advancements in autonomous driving [6] Group 3: Taiwan Semiconductor Manufacturing - Taiwan Semiconductor Manufacturing (TSMC) is the world's leading semiconductor contract manufacturer, producing chips for major designers like Nvidia and Apple [7] - TSMC has a significant lead in advanced node manufacturing, with 73% of revenue from chips built on 7nm and smaller nodes, and 22% from 3nm chips [8] - The company has gained pricing power as it becomes a vital partner to leading chip designers, ensuring future capacity to meet the growing demand for advanced chips [9] Group 4: ASML - ASML holds a near-monopoly on extreme ultraviolet lithography, essential for manufacturing advanced chips, and will benefit from the capital spending of chipmakers like TSMC and Intel [10] - The introduction of the High NA EUV technology will further enhance chip size reduction, with ASML already shipping multiple systems to major semiconductor manufacturers [11] - ASML is well-positioned for future growth as companies seek to design more powerful AI chips [12] Group 5: Meta Platforms - Meta Platforms operates a powerful digital ad platform, enhanced by AI, with its Llama model driving increased personalization and engagement, resulting in a 5% rise in ad impressions and a 10% increase in pricing in Q1 [13] - The company's new AI tools are improving marketing effectiveness, leading to better creative content and higher returns on ad spend [14] - Meta is expanding its ad services to WhatsApp and Threads, both of which have significant user bases, indicating strong future ad growth potential [15] Group 6: Alphabet - Alphabet's strengths lie in its distribution capabilities, with Chrome holding over 65% market share and Android running on more than 70% of smartphones, alongside its extensive user search data [16][17] - The integration of AI into existing products, such as the new AI Mode in search, has been positively received, with 82% of users finding it more helpful than traditional search [18] - Google Cloud is gaining traction, with Q1 revenue increasing by 28% and operating income more than doubling, while Alphabet's Waymo is expanding its robotaxi services [19][20]

Core Insights - The demand for data centers is expected to significantly boost semiconductor stocks for years to come, with companies like NVIDIA leading the market with over 80% share in GPUs [1][2]. Group 1: Semiconductor Companies - ASML is a leader in extreme ultraviolet (EUV) lithography systems, essential for producing advanced chips required for AI applications, achieving 52% year-over-year revenue growth in its latest quarter [3][6]. - Applied Materials provides key technologies for chip manufacturing, including processes necessary for high-performance AI chips, and is expected to see revenue growth of 6.5% to $29 billion by 2025 [7][9]. - KLA specializes in yield management, helping manufacturers improve efficiency and reduce defects in chip production, with analysts raising price targets in anticipation of strong earnings [12][13]. Group 2: Market Trends and Projections - The shift towards more power-efficient chips in hyperscale data centers is driving the need for advanced semiconductor technologies [2][4]. - Generative AI workloads necessitate cutting-edge GPUs and specialized accelerators, which rely on precision manufacturing equipment [5]. - Analysts have set a consensus price target of $923.80 for ASML, indicating a potential gain of over 16%, while KLA's stock is currently above its consensus price target, reflecting strong market expectations [6][12].

Core Viewpoint - The recent earnings season has alleviated concerns regarding an AI infrastructure bubble, indicating sustained demand for data centers and related equipment, while investors are shifting focus from high-valuation tech stocks like NVIDIA to more attractively priced alternatives [1][2]. Group 1: Company Insights - Super Micro Computer Inc. (SMCI) is experiencing a turnaround after resolving accounting irregularities, with analysts now optimistic about its growth prospects linked to NVIDIA's Blackwell chips, projecting revenue to triple in the coming years [4][5][6]. - Arista Networks Inc. (ANET) is positioned to maintain its leadership in Ethernet networking, with significant clients like Meta and Microsoft, despite facing a 15% decline in stock due to tariff concerns; however, it has shown a 7% increase in the last three months [8][10]. - Synopsys Inc. (SNPS) provides essential electronic design automation tools for AI chip development, with a projected 25% compound annual growth rate in earnings over the next five years, despite facing challenges from trade restrictions [12][13][14]. Group 2: Market Trends - Investors are actively seeking value in the AI sector, moving away from premium-priced stocks and looking for companies that are not priced for perfection but still show strong revenue and earnings growth [2][3]. - The demand for data center infrastructure is expected to grow, driven by the increasing reliance on AI technologies, which will benefit companies like Super Micro and Arista Networks [1][8].

Core Viewpoint - The artificial intelligence (AI) sector is rapidly evolving and presents significant investment opportunities, with a focus on ten key AI stocks to consider for investment. Company Summaries - **Nvidia**: Dominates the AI infrastructure market with a 92% market share in GPUs, supported by its CUDA software platform that enhances chip programming and optimization for AI tasks [2]. - **Advanced Micro Devices (AMD)**: While trailing Nvidia in GPUs, AMD excels in CPUs for data centers and has carved a niche in AI inference, which is expected to grow significantly [4]. - **Broadcom**: Experiences strong momentum in networking solutions and is expanding into custom AI chips, with a projected serviceable market of $60 billion to $90 billion by fiscal 2027 [5][6]. - **Taiwan Semiconductor Manufacturing (TSMC)**: A key player in manufacturing AI chips for various companies, benefiting from increased demand and strong pricing power [7]. - **ASML**: Holds a monopoly on extreme ultraviolet lithography equipment essential for advanced chip manufacturing, positioning itself as a long-term winner in the semiconductor industry [8]. - **Amazon**: The largest cloud computing provider, Amazon Web Services (AWS) is crucial for AI model development and is investing heavily in data center infrastructure to meet AI demand [9]. - **Alphabet**: A cloud computing giant benefiting from AI trends, with Google Cloud achieving profitability and leveraging its strong ad network [10]. - **Meta Platforms**: At the forefront of AI with its Llama large language model, enhancing user engagement and advertising effectiveness across its platforms [11]. - **Palantir Technologies**: Aims to be the orchestration layer for AI, structuring data to solve complex problems across various industries [12][13]. - **Salesforce**: Focuses on agentic AI to create a digital workforce, integrating its platforms to enhance customer interaction and task performance [14].

Core Viewpoint - Despite market uncertainties, it is a favorable time to invest in growth stocks with a cautious approach, starting with smaller investments and potentially increasing positions if stock prices decline. Group 1: Nvidia - Nvidia is the leader in AI infrastructure, with its GPUs being the primary chips for AI workloads, supported by its proprietary software platform CUDA [3][4] - Nvidia captured over 90% of the GPU market in Q1, with data center revenue growing more than 9 times in two years, and demand for its new Blackwell chips is accelerating [4][5] - Nvidia is positioned as a key investment in AI infrastructure despite potential risks from data center spending slowdowns [5] Group 2: Taiwan Semiconductor Manufacturing (TSMC) - TSMC is crucial in manufacturing advanced AI chips, holding significant capabilities that few companies possess [6][7] - Nearly 60% of TSMC's business comes from high-performance computing chips, with strong demand continuing [7] - TSMC is raising prices to offset near-term margin pressures and is expected to be a long-term winner in the AI sector [8] Group 3: Pinterest - Pinterest has transformed by embracing AI, leading to increased engagement and improved average revenue per user (ARPU) [9][10] - The company’s AI-driven solutions are enhancing user engagement and helping advertisers run more effective campaigns [10] - Despite potential economic slowdowns, Pinterest has strong growth prospects due to its large user base [11] Group 4: Eli Lilly - Eli Lilly is benefiting from the growth of GLP-1 drugs, with Mounjaro and Zepbound generating $6.1 billion in revenue last quarter [12] - Zepbound's revenue surged from $517 million to $2.3 billion year-over-year, indicating strong momentum [12] - The company’s next-generation oral GLP-1 drug, orforglipron, shows promise and has advantages over existing injectable drugs [13][14] Group 5: e.l.f. Beauty - e.l.f. Beauty is entering a growth phase following its $1 billion acquisition of Rhode, which generated $212 million in sales despite limited product offerings [15][16] - The acquisition is timely as e.l.f.'s growth slowed, and Rhode's expansion into Sephora presents a significant opportunity [16][17] - e.l.f. has strong retail relationships that can facilitate Rhode's distribution growth, making it an attractive investment opportunity [17]

Core Viewpoint - Nvidia has established itself as a leader in the AI chip market, experiencing significant revenue growth and profitability, with a gross margin consistently above 70% [1][6][12] Group 1: Financial Performance - Nvidia's revenue has surged in recent years, driven by the demand for its GPUs in the AI sector [4] - The company maintains a high gross margin, which has been above 70% in recent quarters, despite a recent dip to 60% due to export restrictions related to the Chinese market [6] Group 2: Innovation and Product Development - Nvidia is recognized for its continuous innovation, frequently updating its AI chips and architecture, with a commitment to annual releases through 2028 [6] - The latest chip release, known as Blackwell, is part of Nvidia's strategy to stay ahead in the competitive AI market [6] Group 3: Strategic Moves and Future Growth - Nvidia has filed a mixed-shelf registration with regulators, allowing it to raise capital through equity or debt over the next three years, indicating readiness for future investments [8][9] - This capital-raising capability positions Nvidia to capitalize on favorable market conditions and growth opportunities, including potential research and development, factory expansions, or acquisitions [10][11] - Recent investments in U.S. factories for supercomputer manufacturing further demonstrate Nvidia's commitment to growth and innovation [11] Group 4: Market Position and Outlook - Nvidia's leadership in the AI market, which is projected to grow from billions to trillions, suggests a positive outlook for the company's future [7][12] - The company's strategic actions signal a readiness to make significant growth moves, which could benefit both Nvidia and its investors in the long term [12]