Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.
Description
Promethium is an innovative platform for chemistry simulations that harnesses the power of GPUs to significantly speed up the development of drugs and materials by providing more efficient and precise quantum chemistry calculations. Specifically engineered for NVIDIA data center GPUs, such as the A100, it utilizes advanced QC Ware streaming algorithms to deliver remarkable computational speed and impressive power efficiency. This platform can perform density functional theory (DFT) calculations on molecular systems containing as many as 2,000 atoms, enabling researchers to conduct simulations of large molecular structures that traditional CPU-based ab initio methods cannot handle. For example, it can execute a single-point calculation for a protein with 2,056 atoms in just 14 hours using only one GPU. Promethium is equipped with a diverse array of functionalities, including single-point energy computations, geometry optimizations, conformer searches, torsion scans, reaction path optimizations, transition state optimizations, interaction energy evaluations, and relaxed potential energy surface explorations. Its capabilities make it a powerful tool for chemists looking to push the boundaries of molecular modeling and simulation. Ultimately, Promethium is set to transform the landscape of computational chemistry.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
NVIDIA DRIVE
Python
Integrations
Amazon Web Services (AWS)
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
NVIDIA DRIVE
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$30 per hour
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Arc Institute
Country
United States
Website
arcinstitute.org/tools/evo
Vendor Details
Company Name
Promethium
Country
United States
Website
www.promethium.qcware.com