@Etched

Frontier Inference Clusters

San Jose
Joined April 2024
Pinned Tweet
We've raised $700M at a $21B valuation from Jane Street, Kleiner Perkins, Sequoia, A16Z, Peter Thiel, BCV, and Blackstone. We're also excited to share that we've shipped our first rack to Jane Street.
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We’ve raised $300M in Series C funding at a $10.3B valuation from Sequoia, Andreessen Horowitz, Jane Street, Argo, and SK Hynix. Our mission is to run the world's inference. This round accelerates production of our inference clusters. We've opened an 80,000-sqft, 10-MW facility 15 minutes from our office to expedite production and prototyping.
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Chip design is what connects our inference system. Our entire silicon flow is custom for inference. We develop critical IP in-house, including our fabrics, interconnects, math blocks, and memories. Closing blocks at low voltages is a very hard PD problem. Etched heavily invests in owning our own physical design, creating novel solutions to solve challenging problems like IR drop. We build custom PnR and sign-off flows to push PPA to its limit. Chip designers own a block through this entire process: uArch, RTL, DV, PD, signoff, and (most importantly) bringup and production!
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Vertically integrating the full inference hardware stack is extremely hard. Hear @UbertiGavin and @robertwachen share three years of battle stories leading into today's launch
We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised. Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads. Our first racks ship this summer.
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We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised. Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads. Our first racks ship this summer.
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We're scaling production as fast as possible. We built a 2MW datacenter in our office and opened a Taiwan factory for 24/7 engineering. Performance, roadmap, and more updates are coming this summer. If this excites you, join us to build the future of gigawatt-scale inference:
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