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Silicon Flow provides infrastructure for deploying and optimizing large language models at scale.
$280M
Investor undisclosed
A $280M round for LLM inference infrastructure from a China-based team signals that model serving—not just training—is now a capital-intensive, defensible business. This money likely goes toward GPU clusters, proprietary optimization layers, and sales/ops to compete with Anyscale and Together AI. If you're building any AI product that needs sub-100ms latency or cost-efficient inference, watch how Silicon Flow prices and what their customer concentration looks like—it'll tell you whether inference is becoming a commodity or staying margin-rich.