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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

DeepFND is an advanced, intuitive software solution specifically designed for the comprehensive design of deep foundation piles, combining both geotechnical and structural calculations in a seamless environment. This innovative tool empowers engineers to accurately calculate the axial geotechnical pile capacity, encompassing factors like skin friction and end bearing, while also allowing for the assessment of settlement responses based on Standard Penetration Test (SPT) or Cone Penetration Test (CPT) data. Furthermore, users can conduct thorough lateral pile analyses, focusing on displacement, shear, and moment, through specified head-loads or pushover methods. The software facilitates the design of individual piles, pile groups, and even pile rafts, accommodating various custom pile-cap geometries. DeepFND supports a wide range of pile types, including drilled, driven, continuous flight auger (CFA), caissons, drilled-in-displacement, micropiles, and helical piles, and effectively models soil-structure interaction through either soil springs or a sophisticated 3D finite-element analysis. Additionally, it allows for structural evaluations under both service and factored load conditions, adhering to numerous international design codes such as ACI, AISC, Eurocodes, AS/NZS, Chinese Standards, and AASHTO LRFD, ensuring versatility and compliance across different engineering standards. With its robust features and user-centric design, DeepFND stands out as an essential tool for engineers involved in deep foundation projects.

Description

Stable LM represents a significant advancement in the field of language models by leveraging our previous experience with open-source initiatives, particularly in collaboration with EleutherAI, a nonprofit research organization. This journey includes the development of notable models such as GPT-J, GPT-NeoX, and the Pythia suite, all of which were trained on The Pile open-source dataset, while many contemporary open-source models like Cerebras-GPT and Dolly-2 have drawn inspiration from this foundational work. Unlike its predecessors, Stable LM is trained on an innovative dataset that is three times the size of The Pile, encompassing a staggering 1.5 trillion tokens. We plan to share more information about this dataset in the near future. The extensive nature of this dataset enables Stable LM to excel remarkably in both conversational and coding scenarios, despite its relatively modest size of 3 to 7 billion parameters when compared to larger models like GPT-3, which boasts 175 billion parameters. Designed for versatility, Stable LM 3B is a streamlined model that can efficiently function on portable devices such as laptops and handheld gadgets, making us enthusiastic about its practical applications and mobility. Overall, the development of Stable LM marks a pivotal step towards creating more efficient and accessible language models for a wider audience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alpaca
Automi
Gopher

Integrations

Alpaca
Automi
Gopher

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Deep Excavation LLC

Founded

2004

Country

United States

Website

www.deepexcavation.com/products/deepfnd-foundation-piles-software

Vendor Details

Company Name

Stability AI

Founded

2019

Country

United Kingdom

Website

stability.ai/

Product Features

Engineering

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

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