Eliyan Reaches $1 Billion Valuation With $145 Million Series C
The Santa Clara startup is building chiplet and licensing technology designed to move data faster between AI processors, memory and networking systems.
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The Santa Clara startup is building chiplet and licensing technology designed to move data faster between AI processors, memory and networking systems.
The Palo Alto and Tel Aviv company reached a $1.2 billion valuation with a prevention-focused approach to securing devices used for AI work.
The model infrastructure company says annual recurring revenue has passed $1 billion as customers deploy more specialized AI systems.
The open-model infrastructure company plans to expand training and inference services as enterprises seek alternatives to closed AI platforms.
The San Francisco startup is building real-time fluid sensors for computing systems that increasingly depend on liquid rather than air to control heat.
The San Francisco and Tokyo company is developing low-latency speech models for Japanese, Korean and Chinese applications.
Two former Anthropic and Google researchers launched the company at a $1 billion valuation with backing from Andreessen Horowitz, Kleiner Perkins and Nvidia.
The semiconductor startup reached a $2 billion valuation and $500 million in total funding as it develops alternatives for connecting AI data centers.
The Palo Alto startup is using AI to help companies define specialized processors before the expensive physical design and manufacturing stages.
The open-source database platform is financing faster growth as AI agents generate more applications and infrastructure demand.
The company is assembling distributed GPU capacity into a platform that lets developers choose models, hardware and deployment locations.
The startup is building software intended to let data-center networks adapt automatically to changing AI workloads.
The financing gives the San Francisco AI company an extraordinary capital base, while placing equal pressure on revenue growth, infrastructure execution and product focus.
The San Jose chip startup is betting that a shorter, vertical path for electricity can remove a growing bottleneck inside high-performance AI systems.
The Santa Clara company reached a $4.2 billion valuation as large AI systems create demand for faster, more flexible connections between processors.
The semiconductor startup is moving its co-packaged optics technology toward volume production as data centers demand faster, more efficient connections.
The durable-computing company reached a $5 billion valuation as enterprises look for infrastructure that can keep long-running AI work on track.