@elonmusk says @SpaceX 's new C-based training stack could be 10x faster than JAX.
We did the math. That puts them at ~8% MFU.
We're at 80%+. Demonstrated. On partners' hardware.
Friendly advice from the people who've already been there 👇
https://t.co/oEdhef5l5F
Search was built for humans. Agents aren't human.
They ask dozens of times per task — $5/1K doesn't work. $0.05/1K does. ⚡
That's why https://t.co/LIP8w10y8O exists. Here's @AnnapPatterson discussing TeraGoogle (2006) --> https://t.co/LIP8w10y8O (2026)
Check this out ... from the people that built teragoogle, here comes a new, revolutionary search layer for LLMs - one use case? Supervised Generation (watch here):
https://t.co/uA2et9BoZN
#SearchMorePayLess#APIforLLMs#Search4LLMs
Day 4. The pattern holds:
"Here's what we pay for search."
"Here's what Ceramic charges."
"Wait — run the demo again."
"Now show me Supervised Generation."
Trustworthy AI isn't a feature. It's infrastructure. Ceramic + @nvidia Nemotron.
Booth #4035. #NVIDIAGTC 🚚💨
What would you build if search cost $0.05/1K queries?
Most teams we talk to don't just save money — they search more. Per request. Per agent step. Per user query.
More search → fewer hallucinations → better products.
Booth #4035. #GTC2026
The hidden bottleneck in enterprise AI = the cost of retrieving real-time information.
@CeramicSearch’s infrastructure cuts that cost by up to 100x while grounding outputs in verified web evidence.
Read more about us in the @TheAIJournal1:
https://t.co/UZ03kNiJ6E
LLMs are great at thinking, but not at knowing.
@CeramicSearch Supervised Generation x @nvidia Nemotron, gives AI what it’s missing - grounding AI outputs with verified citations✅ and confidence signals at enterprise scale.
Now in private beta — join the waitlist for early access.
➡️ Press Release:
https://t.co/2d2vf9A5Fp
➡️ Blog
https://t.co/ZMJdQG82hi
"It's time to bring search in line with inference." — said our CEO @AnnapPatterson on @tbpn .
Yesterday, we unveiled our new Supervised Generation system powered by @nvidia that makes AI outputs verifiable with real-time search grounding, citations, and confidence signals built in.
Tune in to watch 👀 the🎥 clip here:
Here's the cost table nobody is talking about on their pricing💲page:
(Numbers from a prospective customer we talked to yesterday doing 1,250,000 queries pre month:)
LLM: $0.15/1K queries = $187.50/month
With another Search API: 1,250,000 queries/month = $10,000/month
With Ceramic Search API: $0.05/1K = $62.50/month
SAVINGS PER MONTH: $9,937.50 🤯
Search isn't a line item. It's your dominant cost.
Search More. Pay Less.
Booth #4035. #GTC2026
Day 2 at #GTC2026 in the books 😮💨!
Showed teams how we can save them 💸 on their search layer - starting NOW!
Demoed Supervised Generation to 100+ ppl — real-time fact-checking ✅ with @NVIDIA Nemotron.
Several "wait, run that again?" 100x cheaper? Verified facts? You have our OWN index ...🤯... where do I sign up?
Booth #4035 🍷 #NVIDIAGTC
Excited to share that @CeramicSearch's CEO/Founder @AnnapPatterson will be going on @TBPN at 1:20pm PT today to talk more about @CeramicSearch, designed for AI agents and LLMs. Make sure to tune in to hear how we're reversing the economics of search for the AI era at enterprise scale.
Hot 🔥 take: Search costs 100x more than intelligence.
A smart LLM: $0.15/1K queries. A search API: up to $14/1K queries.
That math is broken ⚠️.
We just launched Ceramic Web Search. $0.05/1K queries. 40B+ index. As fast as 50ms.
Search more. Pay less. Booth #4035 #GTC2026