AI
Uber adopts Amazon’s AI chips for its growing tech needs
Uber is turning to Amazon’s AI chips to power its infrastructure, highlighting growing adoption of AWS hardware for scalable AI and cloud computing needs.
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Uber is turning to Amazon’s AI chips to power its infrastructure, highlighting growing adoption of AWS hardware for scalable AI and cloud computing needs.
Anthropic strengthens its compute partnerships with Google and Broadcom to meet rising demand for AI models and large-scale infrastructure.
AI chip startup Rebellions raises $400 million at a $2.3 billion valuation in a pre-IPO round, signalling strong investor demand for AI hardware innovation.
Elon Musk unveils plans to develop in-house chip manufacturing for SpaceX and Tesla, aiming to boost AI performance and reduce dependence on the supply chain.
The US government is reportedly evaluating new semiconductor export controls that could tighten restrictions on advanced chips used in artificial intelligence and high-performance computing.
NVIDIA CEO Jensen Huang says the company is scaling back involvement with OpenAI and Anthropic, sparking questions about its long-term AI partnerships and strategy.
NVIDIA delivers another record-breaking quarter, fueled by surging AI demand and massive capital expenditure by cloud and data centre operators.
AI chip startup MatX has raised $500 million to develop high-performance processors aimed at challenging Nvidia in the fast-growing artificial intelligence hardware market.
Meta reportedly strikes a deal worth up to $100 billion with AMD to secure advanced AI chips, accelerating its push toward personal superintelligence and large-scale AI infrastructure.
OpenAI has introduced a new version of Codex powered by a dedicated chip, aiming to boost performance, efficiency, and scalability for AI-powered coding tools.
Benchmark has raised $225 million in special-purpose funds to deepen its investment in Cerebras, underscoring growing confidence in large-scale AI hardware.
Semiconductor startup Positron has raised $230M in a Series B funding round to scale its AI inference chips and reduce reliance on Nvidia hardware.
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