DeepInfra closes $107M Series B
DeepInfra raised a $107 million Series B to expand its inference cloud as AI workloads shift from training to production-scale serving. The company says demand is being driven by open-source models and agentic apps that need high-throughput, low-latency inference.
This is a clean signal that inference infrastructure is still attracting real capital, not just hype. DeepInfra is betting on the part of the stack where usage compounds: serving, latency, and token economics. The raise fits the broader shift from training spend to production inference spend, NVIDIA participation is a useful credibility marker, and the real test is whether it can stay competitive on price and throughput as hyperscalers and model providers optimize their own stacks.
DISCOVERED
3h ago
2026-05-04
PUBLISHED
3h ago
2026-05-04
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DeepInfra