Wafer AI Raises $40M Series A
YC-backed startup optimizes GPU usage for open-source model inference.
Wafer announced a $40 million Series A. MarathonMP and Chemistry co-led the round. Wing_VC, AMD Ventures, Outset Capital, Fifty Years, Y Combinator, and prior investors took part. Angels including Jeff Dean and others joined. Y Combinator stated the company reached $8 million ARR four months after its cloud launch. Wafer routes and optimizes open models across NVIDIA, AMD, TPUs, and other hardware to deliver low-cost inference with low latency.
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10 postsWA 
wafer@wafer_aiWe’re excited to announce that we’ve raised a $40M Series A! co-led by @MarathonMP and @chemistry, with participation from @Wing_VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer_ai. we are also joined by an…
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WA wafer@wafer_aiWe’re excited to announce that we’ve raised a $40M Series A! co-led by @MarathonMP and @chemistry, with participation from @Wing_VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer_ai. we are also joined by an…
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EY Eugene Ye@gpugenei get to spend all of this if you have compute please reach out Co-led by @MarathonMP and @chemistry, with participation from @Wing_VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer_ai. we are also joined by an…
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SP Stephanie Palazzolo@steph_palazzoloWafer, a year-old inference provider that uses Nvidia and non-Nvidia chips, turned down acquisition offers to raise $40m in new funding at a $200m+ valuation. Marathon and Chemistry co-led. For more, check out this morning's AI Agenda:
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GR Gokul Rajaram@gokulrLeading Wafer's Series A tl;dr @MarathonMP is co-leading Wafer’s $40M Series A with our friends at @Chemistry, with participation from @AMD Ventures, @Wing_VC, @outsetcap, @fiftyyears, @ycombinator, and several amazing angels @JeffDean (CEO, @DiscoLoopAI), @rauchg (CEO…
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YC Y Combinator@ycombinatorWafer (@wafer_ai) is building a fast AI inference cloud that uses agents to optimize GPUs and run open-source models at industry-leading speeds. The result is the low cost of open source with the latency of a much smaller model. Four months after launching the cloud, they went…
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