In high-density racks, every watt spent on cooling is a watt you can’t spend on compute.
Our two-phase direct-to-chip cooling system for next-gen GPUs means:
➡️ More power for compute
➡️ Lower energy use and data center PUE
➡️ More hardware, bigger models
See how it works…
A new evaluation shows our AI simulation model, Orb, stands out in many tests. 👏
In this paper (arXiv:2506.01860) by Bowen Han & Yongqiang Cheng, Orb v3 was benchmarked against ~5,000 inorganic crystals and outperformed other MLIPs such as MatterSim and SevenNet-MF-ompa.
Take…
A project we started a long time ago with @MichaelPieler, @pschwllr and many others is now on Arxiv: The ChemPile - a massive dataset for training chemical foundation models.
A project we started a long time ago with @MichaelPieler, @pschwllr and many others is now on Arxiv: The ChemPile - a massive dataset for training chemical foundation models.
Excited to announce Orb-v3, a new family of universal Neural Network Potentials from me and my team at @OrbMaterials, led by Ben Rhodes and @sanderhaute! These new potentials span the Pareto frontier of models for computational chemistry.
So Orb has blown me away again. I simulated the carbonic anhydrase enzyme with it: one of the most important and well studied enzymes in biology. (It converts CO2 to bicarbonate and is involved in many diseases and could also be useful for carbon capture.)
Remarkably, despite…
To date, I've found @OrbMaterials pre-trained models to have the best trade-off w.r.t speed and chemical accuracy, with MACE being the next best choice.
So I think I've found another pretty incredible example of the generalisability of neural network potentials: this is a problem I've been dreaming of tackling for a decade but never felt I had the the tools to get at until now: How do potassium ion channels work. 1/n
These…
So I think I've found another pretty incredible example of the generalisability of neural network potentials: this is a problem I've been dreaming of tackling for a decade but never felt I had the the tools to get at until now: How do potassium ion channels work. 1/n
These… https://t.co/3UT8EqD75N
Incredibly excited to say I am going to be joining Orbital Materials to work on driving the adoption and advancement of the amazing tools they've been building. I've been using their recently released Orb model (a universal neural network potential) and it's blowing me away.
I…
We’re excited to introduce @chaidiscovery and release Chai-1, a foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of drug discovery tasks
We're releasing inference code, weights & a web interface: chaidiscovery.com/blog/introduct…
Orb!
Pretrained models for atomic simulations. @OrbMaterials
Open-sourced and all about accelerating the development of new advanced materials:
github.com/orbital-materi…
Join us in welcoming Simon Weston — an award-winning expert in #carboncapture & storage (CCS), catalysis & advanced material development — to our team as an advisor. More from @CarbonHerald on this exciting announcement here: bit.ly/3SzN5FY
Seeing OM grow from day 1 has been exciting - but not as exciting as what we're cooking (literally) in our lab in Princeton and (virtually) on our GPU cluster. Connecting ML to the physical world is hard but very satisfying.
Our Series A announcement:
techcrunch.com/2024/02/21/thi…
🌶️How to 5x your typing speed and be in a flow state while you type?
(no joke)
Use my customGPT - The Flow Speed Typist.
(link in the next post)
It’s a fascinating concept.
Bookmark to think about it later.
One of the AI’s Superpowers is its ability to understand extremely…
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