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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Enhance and launch AI models using Simplismart's ultra-fast inference engine. Seamlessly connect with major cloud platforms like AWS, Azure, GCP, and others for straightforward, scalable, and budget-friendly deployment options. Easily import open-source models from widely-used online repositories or utilize your personalized custom model. You can opt to utilize your own cloud resources or allow Simplismart to manage your model hosting. With Simplismart, you can go beyond just deploying AI models; you have the capability to train, deploy, and monitor any machine learning model, achieving improved inference speeds while minimizing costs. Import any dataset for quick fine-tuning of both open-source and custom models. Efficiently conduct multiple training experiments in parallel to enhance your workflow, and deploy any model on our endpoints or within your own VPC or on-premises to experience superior performance at reduced costs. The process of streamlined and user-friendly deployment is now achievable. You can also track GPU usage and monitor all your node clusters from a single dashboard, enabling you to identify any resource limitations or model inefficiencies promptly. This comprehensive approach to AI model management ensures that you can maximize your operational efficiency and effectiveness.

Description

Substrate serves as the foundation for agentic AI, featuring sophisticated abstractions and high-performance elements, including optimized models, a vector database, a code interpreter, and a model router. It stands out as the sole compute engine crafted specifically to handle complex multi-step AI tasks. By merely describing your task and linking components, Substrate can execute it at remarkable speed. Your workload is assessed as a directed acyclic graph, which is then optimized; for instance, it consolidates nodes that are suitable for batch processing. The Substrate inference engine efficiently organizes your workflow graph, employing enhanced parallelism to simplify the process of integrating various inference APIs. Forget about asynchronous programming—just connect the nodes and allow Substrate to handle the parallelization of your workload seamlessly. Our robust infrastructure ensures that your entire workload operates within the same cluster, often utilizing a single machine, thereby eliminating delays caused by unnecessary data transfers and cross-region HTTP requests. This streamlined approach not only enhances efficiency but also significantly accelerates task execution times.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Codestral
Flexprice
Google Cloud Platform
Hugging Face
Kubernetes
Mathstral
Microsoft Azure
Ministral 8B
Mistral Large
Mistral NeMo
Mixtral 8x22B
Mixtral 8x7B
OpenAI Whisper
PyTorch
Python
Slack
Stable Diffusion
Stable Diffusion XL (SDXL)
TensorFlow
TypeScript

Integrations

Codestral
Flexprice
Google Cloud Platform
Hugging Face
Kubernetes
Mathstral
Microsoft Azure
Ministral 8B
Mistral Large
Mistral NeMo
Mixtral 8x22B
Mixtral 8x7B
OpenAI Whisper
PyTorch
Python
Slack
Stable Diffusion
Stable Diffusion XL (SDXL)
TensorFlow
TypeScript

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$30 per month
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

Simplismart

Founded

2022

Country

United States

Website

www.simplismart.ai/

Vendor Details

Company Name

Substrate

Founded

2023

Country

United States

Website

www.substrate.run/

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

Alternatives

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