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Qualcomm announces its entry into the data center AI market with two new chips, the AI200 and AI250, set to launch in 2026 and 2027. This move marks a significant shift for the company, known primarily for mobile processors, as it aims to compete with industry leaders like Nvidia and AMD.
Samsung Electronics and SoftBank Corp. have signed an MOU to collaborate on next-generation communications technologies, focusing on 6G and AI-based radio access networks (AI-RAN). This partnership aims to drive innovation in network optimization and user experiences through AI integration.
Intel reports a return to profitability and growing demand for AI-related products, despite ongoing challenges in chip manufacturing. The company is prioritizing AI server chips and preparing for future innovations with its 18A process.
Dell introduces the Pro Max desktop system with NVIDIA's Grace Blackwell GB10 GPU, offering data center-level AI performance for professionals and creators. The system aims to solve computing limitations and high cloud costs for AI teams.
Apple has begun shipping American-made AI servers from its new Houston facility ahead of schedule, marking a significant milestone in its $600 billion US investment commitment. These custom silicon servers will power Apple's Private Cloud Compute and Apple Intelligence services, enhancing the company's AI capabilities while maintaining its privacy-first approach.
Krafton, the company behind PUBG: Battlegrounds, declares itself an 'AI-first' company, investing heavily in AI infrastructure and reorganizing its operations. This move sparks industry discussions about the future of game development and AI's role in it.
AMD's new Radeon AI PRO R9700, based on RDNA4 architecture, offers high-performance AI capabilities at a competitive price point. The GPU is designed for AI workloads and competes with NVIDIA's offerings in the professional market.
Elon Musk announces Tesla will dual-source its next-generation AI5 chips from both Samsung and TSMC, with production taking place in the US. Musk claims Samsung's Texas fab has more advanced equipment than TSMC's Arizona facility.
Tesla announces its next-generation AI5 chip, promising significant performance improvements and a dual-foundry manufacturing approach. The chip will be used in Tesla's vehicles, robots, and data centers, complementing existing Nvidia hardware.
Biotech startup Metagenomi has leveraged AWS's Inferentia 2 accelerators to significantly reduce costs and accelerate gene-editing research. The collaboration highlights the potential of custom AI chips in biotechnology applications.
General Motors announces a major overhaul of its vehicle architecture, focusing on AI and automated driving capabilities. The new system, set to debut in 2027, promises faster software updates, more advanced features, and improved performance across both electric and gas-powered vehicles.
Google's Quantum AI team has developed a new algorithm called Quantum Echoes, demonstrating a significant advancement in quantum computing. The algorithm, running on Google's Willow chip, outperforms classical supercomputers by a factor of 13,000 and shows potential for real-world applications in molecular analysis.
Samsung and SK hynix showcase their latest HBM4 memory chips at the 2025 Semiconductor Exhibition (SEDEX) in Seoul, signaling an impending competition in the AI chip market. The event highlights the growing importance of high-bandwidth memory in AI acceleration.
Anthropic signs a multi-billion dollar deal with Google Cloud for access to up to 1 million TPU chips, aiming to achieve over 1 gigawatt of AI computing capacity by 2026. This strategic partnership highlights the intense competition for AI infrastructure in the tech industry.
Arm Holdings is expanding its Flexible Access licensing program to include its Armv9 edge AI platform. This move aims to attract startups and device makers developing on-device AI by lowering entry barriers and accelerating design cycles.
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