[Tickets Info] Sunday, November 8 2:00pm NHK Hall No. 2074 Subscription (Program A) 🔻Program Prokofiev / Violin Concerto No. 1 D Major Op. 19 Shostakovich / Symphony No. 8 C Minor Op. 65 Conductor: Tugan Sokhiev Violin: Mayuko Kamio 🎫Same-Day Tickets Available for purchase at the venue from 1:00pm, subject to availability. Seating category may be selected, but not a specific seat. Please note that same-day ticket sales at the venue may not be offered if tickets sell out in advance.

Last week, a short seller, @CulperResearch, published a report arguing that @cerebras wafers wear out after about two years, and based on that premise the report suggested that the economics of our business are fundamentally challenged.  That number is wrong, and given that the basis of the entire report is built upon that assumption, all of the assertions that follow are also wrong. We do agree that the question of how long our systems last is a fair question, so we want to address the topic plainly.   If you have a few minutes, I would encourage you to click on the link below, which will provide you with a better understanding of the pioneering work done by our engineering team over the past decade to ensure that the operating lifetime of our solutions is many, many years. Link Here:

Chipmakers work together more than people think. In the history of compute, there's a repeated pattern. As each workload matures, we divide it into stages. Then we build specialized hardware for each stage. In inference, it's called disaggregation. There are 2 distinct stages: Prefill - processing the prompt. Decode - generating the answer. The 2 stages need very different things. Prefill is highly parallelizable. Decode is strictly sequential. Each stage is best served by a different machine. Already, chipmakers are working together to use the best architecture for each stage. At @cerebras, we’re partnering with AWS and AMD to do exactly this. Today, Tony Kim and I spoke about this and much more at the Future of The Data Center and Compute Summit 2026. Thanks for having me, Tony.

Good to be back at @Stanford for the HAI Conference. This time, I was on a panel about how fast AI is moving. At @cerebras, we've been building chips for 10 years. And the industry has never moved faster. In the last 90 days, the lead at the frontier changed hands 4 times. More than 10 interesting open models came out. And we only expect it to accelerate from here. Good to see you @YejinChoinka, @dawnsongtweets and @rwmcmorrow.

The fastest inference in the world is coming to @OracleCloud. @cerebras and @Oracle partner to enable blisteringly fast inference on OCI. Cerebras brings fast AI. Oracle brings deep expertise building and running AI infrastructure at scale. Enterprises have trusted Oracle with their most important data and applications for decades. Partnering with Cerebras gives Oracle customers more choice to match each AI workload to the compute that suits it best. Coming soon, they’ll be able to build agents with true super fast AI in the cloud they already use. Thank you to @MThiagarajan_ and the @Oracle team. Excited to build this with you. Full announcement here:

$250M Series D $2.4B+ valuation 6 new satellites launched The world needs more resilient, precise GPS infrastructure, and @XonaSpace is leading the way Proud to back @FoundTheSpace & the entire team since the beginning