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.
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.
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.
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:
We're excited to partner with @Cognition_Labs@Mercor_AI@CoreWeave and @AnthropicAI to host an inference-time compute hackathon, featuring >$60K in cash prizes and >1 exaflop of free compute.
We believe today's models significantly underutilize inference-time compute and search. With better algorithms and much faster hardware, we can push this scaling law by several orders of magnitude.
We're particularly interested in research that accelerates parallel reasoning, high batch speculative decoding, text diffusion, and adaptive scaling.