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24 articles
Nvidia's $2 billion investment in Marvell is more than a financial stake—it's a strategic move to secure long-term revenue through ecosystem lock-in.
AI chip startup Rebellions raises $400 million at $2.3B valuation, positioning itself as a challenger to Nvidia's dominance in AI inference hardware.
South Korean AI chipmaker Rebellions has raised $400 million in a pre-IPO round, valuing the company at $2.34 billion. The funding, led by Samsung, SK Hynix, and Aramco, signals strong investor confidence in its AI inference chip technology.
Arm has broken from its licensing-only model by manufacturing its first in-house chip, designed specifically for AI data centers. This marks a major strategic shift for the company, signaling its intent to compete directly in the high-growth AI chip market.
Arm has entered the AI chip market with new hardware designed to accelerate machine learning workloads, securing early customers including Meta, OpenAI, Cerebras, and Cloudflare.
Learn what AI inference chips are, how they work, and why they're crucial for making AI systems faster and more efficient. This explainer explains the basics of inference chips using simple analogies.
Learn to design and simulate AI chip architectures using Python, modeling neural network computations and optimizing for performance and power efficiency.
Learn what AI chips are, how they work, and why companies like Tesla and SpaceX are investing in building their own specialized computer chips for artificial intelligence.
Learn what AI chips are, how they work differently from regular computer chips, and why they're crucial for making artificial intelligence faster and smarter.
This article explains Nvidia's 'OpenClaw' strategy, a hardware-software co-design approach that combines open-source AI development with proprietary hardware platforms, enabling efficient deployment of large AI models.
Nvidia has received approval from Beijing to resume sales of its H200 AI chip, while also working on a China-ready version of its Groq inference chip.
Nvidia CEO Jensen Huang has projected $1 trillion in orders for the company's latest AI chips, signaling massive demand for advanced computing capabilities.
