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 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 semiconductor startup reached a $2 billion valuation and $500 million in total funding as it develops alternatives for connecting AI data centers.
The Berkeley company will accelerate work on fault-tolerant machines while pursuing additional federal support for U.S. quantum infrastructure.
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 Dublin, California semiconductor company plans to commercialize a component that moves power vertically toward high-performance processors.
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 Series C extension values the developer platform at $1.5 billion as more teams need persistent infrastructure for applications and agents.