AI Chips

Twitter

Facebook

Copy Link

Key Facts

Key ChipsH100, B200, TPU v5, Trainium

Key PlayersNVIDIA, AMD, Broadcom, Cerebras

Top News

Samsung Electronics Recruits Two AI Experts to Accelerate Chip Business Transformation

Samsung Electronics has appointed two AI specialists—Han Bo-hyung from Seoul National University and former Meta data engineering manager Hahn Tai-rin—to accelerate AI adoption across its semiconductor operations. The move aims to shorten development cycles, improve manufacturing efficiency, and strengthen Samsung's competitive position in advanced chips.

Business2 sources

Samsung Electronics Recruits Two AI Experts to Accelerate Chip Business Transformation

Business2 sources

Micron Technology Unveils $250 Million Venture Fund to Fuel AI Technologies and Infrastructure

Micron Technology launched the Micron Ventures Paradigm Fund, committing $250 million to invest in AI technologies spanning model architectures, compute infrastructure, and physical AI systems. This third and largest fund brings Micron's total capital commitment to $550 million, positioning the semiconductor giant to partner with innovators shaping AI's future memory and storage demands.

Business2 sources

Micron Technology Unveils $250 Million Venture Fund to Fuel AI Technologies and Infrastructure

Business2 sources

Google Pixel 11 Tensor G6 is a 3nm chip, not 2nm as previously rumored

Google confirmed its Tensor G6 chip in the Pixel 11 uses TSMC's 3nm process, not the rumored 2nm node. Despite missing the cutting-edge fabrication, the processor delivers 25% faster web browsing, 15% quicker app launches, and 50% more TPU compute power for enhanced on-device AI capabilities.

Technology2 sources

Google Pixel 11 Tensor G6 is a 3nm chip, not 2nm as previously rumored

Technology2 sources

Lam Research to Invest Over $3 Billion in Global R&D Labs to Speed Up AI Chip Development

Chipmaking equipment supplier Lam Research announced a $3 billion-plus investment over five years to expand its global R&D laboratory network. The move aims to boost experimental capacity by over 50% and accelerate semiconductor innovation driven by AI chips. CEO Tim Archer emphasized that the AI era demands faster development cycles for new chip architectures and materials.

Business4 sources

Lam Research to Invest Over $3 Billion in Global R&D Labs to Speed Up AI Chip Development

Business4 sources

LG and Nvidia Partner to Build Humanoid Robot Launching Q1 2027 with AI Factory Infrastructure

LG signed a partnership with Nvidia on August 13 to develop a bipedal humanoid robot powered by Isaac GR00T and Jetson Thor, planned for Q1 2027 debut. The collaboration extends beyond robotics to include an 80-megawatt AI factory in South Korea and autonomous vehicle platforms, positioning LG as a comprehensive robotics solutions provider.

Technology9 sources

LG and Nvidia Partner to Build Humanoid Robot Launching Q1 2027 with AI Factory Infrastructure

Technology9 sources

Applied Materials Posts Record $9.12B Revenue on AI Chip Demand But Stock Falls 5%

Applied Materials reported record third-quarter revenue of $9.12 billion, up 25% from a year earlier, and raised its semiconductor systems growth outlook as AI-driven demand continues to build. The company beat analyst estimates on both earnings and revenue, yet shares fell more than 5% in after-hours trading as investors deemed the results insufficient given elevated expectations.

Business6 sources

Applied Materials Posts Record $9.12B Revenue on AI Chip Demand But Stock Falls 5%

Business6 sources

OpenAI Unveils Ultrafast Mode: GPT-5.6 Sol Delivers 14x Speed Boost at 750 Tokens Per Second

OpenAI has launched Ultrafast, a new API service tier that runs GPT-5.6 Sol at 14 times standard speed, reaching 750 output tokens per second on Cerebras chips. The limited preview targets time-sensitive corporate workflows including incident response, customer service, and financial analysis, marking a shift in the AI race from intelligence to speed.

Technology5 sources

OpenAI Unveils Ultrafast Mode: GPT-5.6 Sol Delivers 14x Speed Boost at 750 Tokens Per Second

Technology5 sources

Cerebras CS-4 Racks Three WSE-3 Turbo Chips to Deliver 30x Faster AI Inference Performance

Cerebras unveiled the CS-4, its first multi-wafer AI inference system housing three WSE-3 Turbo chips in a single rack. The new Nexus rack systems promise 30x faster chatbot responses than GPU-based systems while boosting throughput per watt tenfold. But the chips inside appear to be existing silicon pushed harder rather than entirely new designs.

Technology9 sources

Cerebras CS-4 Racks Three WSE-3 Turbo Chips to Deliver 30x Faster AI Inference Performance

Technology9 sources

AMD Launches $4-5 Billion Bond Sale to Accelerate AI and Data-Center Expansion

AMD is raising up to $5 billion through a four-part bond offering to fund AI expansion and data-center growth. The senior unsecured debt matures between 2029 and 2036, with proceeds supporting general corporate purposes including potential debt repayment. This comes as AMD targets over 80% server business growth and aims to capture more than 50% of a $220 billion server CPU market by 2030.

Business3 sources

AMD Launches $4-5 Billion Bond Sale to Accelerate AI and Data-Center Expansion

Business3 sources

Nvidia A100 GPUs Defy Depreciation as CoreWeave Signs Contracts Through 2029

CoreWeave has committed to renting Nvidia A100 GPUs through 2029, extending the Ampere-based chip's lifespan to nine years. Power constraints and legacy infrastructure limitations are keeping older AI GPUs profitable, challenging assumptions about rapid hardware deprecation in AI.

Business4 sources

Nvidia A100 GPUs Defy Depreciation as CoreWeave Signs Contracts Through 2029

Business4 sources

Nvidia RTX Pro 6000 GPU Price Nearly Doubles to $16,000 Amid AI Hardware Demand

Nvidia's flagship RTX Pro 6000 workstation GPU has surged to $16,000, nearly double its March 2025 launch price of $8,565. The AI-focused Blackwell GPU features 96GB of GDDR7 memory and 24,064 CUDA cores, but soaring component costs and memory shortages are driving unprecedented price increases across professional graphics cards.

Business2 sources

Nvidia RTX Pro 6000 GPU Price Nearly Doubles to $16,000 Amid AI Hardware Demand

Business2 sources

Intel explores stacking memory directly above CPUs to tackle AI performance bottlenecks

Intel CEO Lip-Bu Tan signals a strategic shift back into memory, exploring vertical stacking of DRAM above processors to address AI-driven performance challenges. The company hired former SK hynix CEO Seok-Hee Lee to spearhead advanced packaging innovations, with technologies like XBM targeting the next decade.

Technology3 sources

Intel explores stacking memory directly above CPUs to tackle AI performance bottlenecks

Technology3 sources

Anthropic in Talks to Buy Decart for $6 Billion to Slash AI Infrastructure Costs

Anthropic is negotiating to acquire Israeli AI startup Decart for approximately $6 billion, marking its largest deal yet. The acquisition targets Decart's chip optimization technology that could dramatically reduce Anthropic's ballooning compute expenses as it prepares for a public listing.

Business15 sources

Anthropic in Talks to Buy Decart for $6 Billion to Slash AI Infrastructure Costs

Business15 sources

Cerebras Systems Stock Plunges 17% Despite Strong AI Chip Demand and Raised Revenue Guidance

AI chipmaker Cerebras Systems reported second-quarter 2026 earnings with revenue of $180.11 million and raised its full-year revenue guidance to $880-890 million. Despite beating adjusted earnings expectations and AI cloud revenue surging 281% year-over-year, the stock dropped over 17% in extended trading as hardware sales fell 23% and investors questioned the capital-intensive cloud business model.

Business18 sources

Cerebras Systems Stock Plunges 17% Despite Strong AI Chip Demand and Raised Revenue Guidance

Business18 sources

China's national technology agenda drives open-source AI leadership amid geopolitical competition

China is positioning itself as a champion of low-cost open-source AI, framing it as a global public good in contrast to US alternatives. President Xi Jinping's national technology agenda emphasizes technological independence through open-weight models like DeepSeek and Qwen. This strategic push could reshape global AI standards and governance as countries worldwide adopt Chinese approaches to innovation.

Policy3 sources

China's national technology agenda drives open-source AI leadership amid geopolitical competition

Policy3 sources

Prev 123 4…84 Next