Founder & CEO, 100 GIGA • Stanford BASS23 • Ex-World Bank (IFC) • Top 100 Woman in Blockchain & AI || Ft : UN, NASDAQ, NYSE, Business Insider, CES & Forbes
In the spirit of Diwali, Anoop @calminvestor and I spoke with @_soniashenoy on the journey at @capitalmind_in from a blog to a PMS and also a mutual fund, our investment philosophy, and untold stories. (And why my prediction post fails every year)
Link: https://t.co/zYzDVtZetB
We built a new type of datacenter for AI inference. We call it NanoDC.
NanoDC is a solar-powered autonomous datacenter that can be deployed anywhere on the planet in 4 weeks.
11 Trillion will be invested in AI compute over the next 4 years. Most of this will be for inference and most of it will be severely delayed: stuck in grid interconnect queues, site permits, or supply chain issues. NanoDC sidesteps these issues completely.
NanoDC is built rapidly at a factory and shipped to the site ready to be turned on in 30 minutes. It generates its own power with solar and batteries. You open the door and the solar panels fold-out like an accordion. The compute is cooled with patent-pending high-density air cooling. It connects to the internet via Starlink.
No construction. No grid interconnect. No Water supply.
It never waits for transformers and turbine generators either.
Getting more compute is as easy as dropping more units and turning them on.
The first units will be live this month. Thousands will be shipping starting 2027.
Sunlight in. Tokens out.
We’re sharing how our biology research team worked with Claude to map the first 3D structure of a vault particle from bacterial life.
Vault particles are a longstanding mystery. They are barrel-shaped objects, among the largest protein structures found in our cells. They were first discovered by Leonard Rome and Nancy Kedersha in 1986, but their function remains unknown.
With Claude, we’ve found results that might bring us closer to solving that mystery.
Until now, vaults were only known in the cells of complex things like animals and plants. We have shown that similar proteins from bacteria (and the viruses that infect them) can also assemble into vaults. Finding the structures in these simpler forms of life may make it easier to investigate their function in our own cells.
For our life sciences team, the project was also a demonstration of the potential (and the limitations) of using AI to accelerate science.
In our full piece, we discuss how Claude was able to dramatically speed up some stages—manually determining the vault particle’s structure would have taken weeks to months of painstaking work, but here it took days. We also discuss how Claude made some simple mistakes along the way, and how we collaborated with our machine learning researchers to address them.
Read more: https://t.co/KowVVCSPp8
The EmbeddingGemma 2 tech report is officially live!
We are sharing the full architecture, training recipe, and ablations behind our 740M open multimodal embedding model.
Inside the paper:
🌐 Unified representations for text, code, images, audio, and video
📈 How it outperforms specialist and general models up to 12x larger
⚡ On-device efficiency: modular encoders, Matryoshka dims, and int4 quantization (down to 567MB)
Read the full report: https://t.co/gnc2NzpmIl
How do you make AI memory go further?
Go inside the architecture to explore 5 ways NVIDIA optimizes the full system, from shrinking model weights to reusing context across servers.
Confirmed ransomware attacks on healthcare providers grew about 6x from 2018 to 2024
Average days a US provider was down per attack:
- 2018: 4
- 2021: 17
- 2024: 18
Full piece from a16z's Asaf Ezra and Steph Zhang on AI and the patch gap: https://t.co/Zu3IaW5wCH
Let's do this @OpenAI x Equal AI
Are you building with Dots?
Dots are remarkably capable, always-on agents built to handle everything. They’re a whole new way to work with AI one that gets to know what matters to you, is always working on your behalf, and takes important work off your plate so you get more of your time and attention back.
Incredible set of results so far. With nearly 70% of results in for the Nifty 500, median profits are up 21.4% year on year (for the Sep 2026 quarter).
Source: https://t.co/VqvBPXSoYf by @itsTarH
HIRING via Anthropic: visa sponsorship to the US 🇺🇸
Product Manager, Claude
📍 San Francisco, New York or Seattle (hybrid)
💰 $385K-$460K
Apply: https://t.co/Um9wmnEuId
75+ more visa sponsored jobs: https://t.co/PnILesZVJP
Follow @visajobsdaily for new ones daily