Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Azore CFD Reviews & Ratings
    24 Ratings
    Company Website
  • Innoslate Reviews & Ratings
    87 Ratings
    Company Website
  • SAP S/4HANA Cloud Public Edition Reviews & Ratings
    3,466 Ratings
    Company Website
  • RunPod Reviews & Ratings
    205 Ratings
    Company Website
  • Jama Connect Reviews & Ratings
    372 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    783 Ratings
    Company Website
  • ThinkAutomation Reviews & Ratings
    15 Ratings
    Company Website
  • Bidtracer Reviews & Ratings
    39 Ratings
    Company Website
  • Wiz Reviews & Ratings
    1,101 Ratings
    Company Website
  • Seertech Reviews & Ratings
    15 Ratings
    Company Website

What is NVIDIA Isaac Lab?

NVIDIA Isaac Lab serves as an open-source framework for robotic learning, leveraging GPU acceleration and grounded in Isaac Sim to enhance and unify multiple aspects of robotics research, including reinforcement learning, imitation learning, and motion planning. It takes advantage of highly accurate sensor and physics simulations to effectively train embodied agents and provides a diverse array of pre-configured environments featuring manipulators, quadrupeds, and humanoids, while also supporting over 30 benchmark tasks and facilitating smooth integration with prominent RL libraries such as RL Games, Stable Baselines, RSL RL, and SKRL. The modular, configuration-driven design of Isaac Lab empowers developers to easily create, modify, and expand their learning environments, alongside the capability to capture demonstrations using devices like gamepads and keyboards, as well as allowing for the incorporation of custom actuator models to enhance the sim-to-real transfer processes. Additionally, the framework is adept at functioning in both local and cloud settings, providing the flexibility to scale compute resources to meet varying demands efficiently. This multifaceted approach not only boosts productivity in robotics research but also paves the way for groundbreaking innovations in a variety of robotic applications, ultimately fostering a dynamic environment for experimentation and advancement.

What is Mathstral?

This year marks the 2311th anniversary of Archimedes, and in his honor, we are thrilled to unveil our first Mathstral model, a dedicated 7B architecture crafted specifically for mathematical reasoning and scientific inquiry. With a context window of 32k, this model is made available under the Apache 2.0 license. Our goal in sharing Mathstral with the scientific community is to facilitate the tackling of complex mathematical problems that require sophisticated, multi-step logical reasoning. The introduction of Mathstral aligns with our broader initiative to bolster academic efforts, developed alongside Project Numina. Much like Isaac Newton's contributions during his lifetime, Mathstral builds upon the groundwork established by Mistral 7B, with a keen focus on STEM fields. It showcases exceptional reasoning abilities within its domain, achieving impressive results across numerous industry-standard benchmarks. Specifically, it registers a score of 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, highlighting the performance enhancements in comparison to its predecessor, Mistral 7B, and underscoring the strides made in mathematical modeling. In addition to advancing individual research, this initiative seeks to inspire greater innovation and foster collaboration within the mathematical community as a whole.

Media

Media

Integrations Supported

APIPark
BlueGPT
Codestral Mamba
DataChain
Diaflow
Melies
Ministral 8B
Mistral AI
Mistral Large
Mistral NeMo
Mixtral 8x22B
Mixtral 8x7B
OpenLIT
OpenPipe
Overseer AI
PI Prompts
SydeLabs
Wordware
bolt.diy
thisorthis.ai

Integrations Supported

APIPark
BlueGPT
Codestral Mamba
DataChain
Diaflow
Melies
Ministral 8B
Mistral AI
Mistral Large
Mistral NeMo
Mixtral 8x22B
Mixtral 8x7B
OpenLIT
OpenPipe
Overseer AI
PI Prompts
SydeLabs
Wordware
bolt.diy
thisorthis.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
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/lab

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/mathstral/

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Categories and Features

Popular Alternatives

Popular Alternatives

Solar Pro 2 Reviews & Ratings

Solar Pro 2

Upstage AI
Mistral Large 2 Reviews & Ratings

Mistral Large 2

Mistral AI
Mistral NeMo Reviews & Ratings

Mistral NeMo

Mistral AI
ISAAC Reviews & Ratings

ISAAC

ISAAC Instruments