Cerebras gave a sales forecast for the current quarter that exceeded analysts’ estimates, signaling that a push to challenge Nvidia Corp. in AI chips is paying off https://t.co/P3xoN2X9vo
How fast can @cerebras order your breakfast on Kimi K3.1 Pro?
My order: a cinnamon roll and an almond-milk latte.
The whole order took 43 seconds.
Only 18 seconds of inference, at 2,121 tokens per second.
Proud to be a day-zero launch partner for Kimi K3.1 Pro.
Congratulations to the @Kimi_Moonshot team on bringing near frontier intelligence to open source.
If Jensen Huang was born in Bhopal he would have been eligible to get 1000 per month from tomorrow under berojgari bhatta yojana. Talk about geographical luck. We are blessed.
random brain rumble: code comments make agents lazy. comments sometimes deviate / expose lesser functionality than a code performs.
let the agent see the code, examine it, and make a decision for itself about what it does.
of course an argument could be made about code readability and human consumption, but the core crux is how to let agents not be lazy?
sure, we can add instructions in AGENTS.MD/any other .MD file. but I wonder how effective it is
working in inference model bring up is such a cool experience
you get to work all the way from setting tensor layouts and floorpans on wafer -> writing kernels -> adding model's forward layer code -> inference runtime/engine -> API layer (this too has multiple layers in it. load balancing, replica routing etc)
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: https://t.co/mGKI3dSHiw
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: https://t.co/wACT9YiG7F
a thing many come across while learning something new is “oh god, I don't understand any of this”.
it turns out that it’s incredibly difficult to point out WHAT EXACTLY in it aren’t you understanding.
while learning something difficult, if you’re able to point out and pursue WHAT you aren’t able to understand well, then you have unlocked the key to master it 🤝