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What is NVIDIA Isaac GR00T?

NVIDIA has developed Isaac GR00T (Generalist Robot 00 Technology) as a pioneering research initiative designed to facilitate the development of adaptable humanoid robot foundation models and the relevant data processes. Among its offerings is the Isaac GR00T-N model, which is supplemented by synthetic motion templates, GR00T-Mimic for refining demonstrations, and GR00T-Dreams, a feature that produces new synthetic pathways to advance humanoid robotics swiftly. A notable recent advancement is the release of the open-source Isaac GR00T N1 foundation model, which boasts a dual cognitive architecture encompassing a quick-acting “System 1” model and a language-capable, analytical “System 2” model for reasoning. The upgraded GR00T N1.5 version incorporates substantial enhancements, such as better vision-language grounding, superior execution of language directives, heightened adaptability through few-shot learning, and compatibility with various robot forms. By leveraging tools like Isaac Sim, Lab, and Omniverse, the GR00T platform empowers developers to train, simulate, post-train, and deploy flexible humanoid agents that utilize both real and synthetic data effectively. This holistic strategy not only accelerates advancements in robotics research but also paves the way for groundbreaking innovations in the realm of humanoid robotic applications, promising to reshape the landscape of the industry.

What is Evo 2?

Evo 2 is an advanced genomic foundation model that excels in predicting and creating tasks associated with DNA, RNA, and proteins. Utilizing a sophisticated deep learning architecture, it models biological sequences with precision down to single-nucleotide accuracy, demonstrating remarkable scalability in both computational and memory resources as context length expands. The model has been trained on an impressive 40 billion parameters and can handle a context length of 1 megabase, analyzing an immense dataset of over 9 trillion nucleotides derived from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function predictions across a range of biological types, including DNA, RNA, and proteins, while also generating novel sequences that adhere to plausible genomic frameworks. Its robust capabilities have been highlighted in applications such as the design of efficient CRISPR systems and the identification of potentially disease-causing mutations in human genes. Additionally, Evo 2 is accessible to the public via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework, which significantly enhances its availability to researchers and developers. This integration not only broadens the model's reach but also represents a pivotal advancement in the fields of genomic modeling and analysis, paving the way for future innovations in biotechnology.

Media

Media

Integrations Supported

BioNeMo
Evo Designer
GitHub
Hugging Face
NVIDIA DGX Cloud
NVIDIA Isaac Lab
NVIDIA Omniverse

Integrations Supported

BioNeMo
Evo Designer
GitHub
Hugging Face
NVIDIA DGX Cloud
NVIDIA Isaac Lab
NVIDIA Omniverse

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/isaac/gr00t

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

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