Sharing Evo 2, a new foundation model for biomolecular sciences, now available on NVIDIA BioNeMo. This is a collaboration between the Arc Institute, Stanford, UC Berkeley, UCSF, and NVIDIA. It's significant because it's trained on a massive dataset – nearly 9 trillion nucleotides of DNA, RNA, and protein sequences from across the tree of life.
Key aspects:
🧬 Genomic Scale: Trained on an enormous dataset covering diverse species. 🔬 Multimodal: Understands DNA, RNA, and protein sequences. 🧠 Long Context: Can process sequences up to 1 million nucleotides at once. 🚀 Powerful Architecture: Uses a "StripedHyena 2" architecture for efficiency. ✅ Open Components: Key parts, including fine-tuning, are available via the open-source NVIDIA BioNeMo Framework. 🔓Available as NVIDIA NIM microservice.
They've already shown it can predict the effects of gene mutations with high accuracy, and even design functional CRISPR-Cas systems. It's a powerful tool for anyone working with biological sequence data.
So, while AlphaFold primarily predicted existing structures, Evo 2 opens the door to designing entirely new biological sequences for things like drug discovery, agriculture, and materials science. What new possibilities does this unlock?
About Evo 2 on Product Hunt
“A foundation model for genomic understanding”
Evo 2 launched on Product Hunt on February 24th, 2025 and earned 226 upvotes and 7 comments, placing #6 on the daily leaderboard. Evo 2, a powerful biomolecular AI model, provides insights into DNA, RNA and proteins across diverse species.
On the analytics side, Evo 2 competes within Artificial Intelligence, GitHub, Tech and Science — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Evo 2 performed against the three products that launched closest to it on the same day.
Who hunted Evo 2?
Evo 2 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Zac Zuo
Hi everyone!
Sharing Evo 2, a new foundation model for biomolecular sciences, now available on NVIDIA BioNeMo. This is a collaboration between the Arc Institute, Stanford, UC Berkeley, UCSF, and NVIDIA. It's significant because it's trained on a massive dataset – nearly 9 trillion nucleotides of DNA, RNA, and protein sequences from across the tree of life.
Key aspects:
🧬 Genomic Scale: Trained on an enormous dataset covering diverse species.
🔬 Multimodal: Understands DNA, RNA, and protein sequences.
🧠 Long Context: Can process sequences up to 1 million nucleotides at once.
🚀 Powerful Architecture: Uses a "StripedHyena 2" architecture for efficiency.
✅ Open Components: Key parts, including fine-tuning, are available via the open-source NVIDIA BioNeMo Framework.
🔓Available as NVIDIA NIM microservice.
They've already shown it can predict the effects of gene mutations with high accuracy, and even design functional CRISPR-Cas systems. It's a powerful tool for anyone working with biological sequence data.
So, while AlphaFold primarily predicted existing structures, Evo 2 opens the door to designing entirely new biological sequences for things like drug discovery, agriculture, and materials science. What new possibilities does this unlock?