A one-year-old startup that uses AI agents to squeeze more performance out of AMD and Nvidia chips has turned down acquisition offers from multiple cloud and inference providers, choosing instead to raise a $40 million Series A at a valuation north of $200 million. Wafer’s valuation represents a 50x increase from its $4 million seed round closed just five months earlier in April 2026. What Wafer actually does The core pitch is deceptively simple: most GPUs in production environments sit around 20% utilization on average. That means companies are paying for five times more compute than they’re actually using. Wafer deploys autonomous AI agents that continuously optimize inference workloads in real time, squeezing dramatically more performance out of the same hardware. The results from July 2026 testing tell a compelling story. Wafer’s agents pushed AMD’s MI355X GPU to roughly 80% of the throughput of Nvidia’s B200, the current gold standard for inference performance. More striking: the cost came in at less than half for certain models, including GLM-5.2. Why turning down buyers matters The Series A attracted a roster of investors that reads like a who’s who of AI infrastructure beli...
Wafer turns down acquisition offers from multiple cloud providers after raising $40M at 50x valuation jump
3 weeks ago
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