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What is Steamship?

Boost your AI implementation with our entirely managed, cloud-centric AI offerings that provide extensive support for GPT-4, thereby removing the necessity for API tokens. Leverage our low-code structure to enhance your development experience, as the platform’s built-in integrations with all leading AI models facilitate a smoother workflow. Quickly launch an API and benefit from the scalability and sharing capabilities of your applications without the hassle of managing infrastructure. Convert an intelligent prompt into a publishable API that includes logic and routing functionalities using Python. Steamship effortlessly integrates with your chosen models and services, sparing you the trouble of navigating various APIs from different providers. The platform ensures uniformity in model output for reliability while streamlining operations like training, inference, vector search, and endpoint hosting. You can easily import, transcribe, or generate text while utilizing multiple models at once, querying outcomes with ease through ShipQL. Each full-stack, cloud-based AI application you build not only delivers an API but also features a secure area for your private data, significantly improving your project's effectiveness and security. Thanks to its user-friendly design and robust capabilities, you can prioritize creativity and innovation over technical challenges. Moreover, this comprehensive ecosystem empowers developers to explore new possibilities in AI without the constraints of traditional methods.

What is OpenVINO?

The Intel® Distribution of OpenVINO™ toolkit is an open-source resource for AI development that accelerates inference across a variety of Intel hardware. Designed to optimize AI workflows, this toolkit empowers developers to create sophisticated deep learning models for uses in computer vision, generative AI, and large language models. It comes with built-in model optimization features that ensure high throughput and low latency while reducing model size without compromising accuracy. OpenVINO™ stands out as an excellent option for developers looking to deploy AI solutions in multiple environments, from edge devices to cloud systems, thus promising both scalability and optimal performance on Intel architectures. Its adaptable design not only accommodates numerous AI applications but also enhances the overall efficiency of modern AI development projects. This flexibility makes it an essential tool for those aiming to advance their AI initiatives.

Media

Media

Integrations Supported

Hugging Face
AssemblyAI
Caffe
Cameralyze
EndoAim
GPT-4
Giveaway.com
Google Cloud AI Infrastructure
Intel Geti
Intel Open Edge Platform
Keras
Microsoft 365
NLP Cloud
Nero AI
Nutanix Karbon Platform Services
OpenAI
PaddlePaddle
PyTorch
Python
spaCy

Integrations Supported

Hugging Face
AssemblyAI
Caffe
Cameralyze
EndoAim
GPT-4
Giveaway.com
Google Cloud AI Infrastructure
Intel Geti
Intel Open Edge Platform
Keras
Microsoft 365
NLP Cloud
Nero AI
Nutanix Karbon Platform Services
OpenAI
PaddlePaddle
PyTorch
Python
spaCy

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Steamship

Company Location

United States

Company Website

www.steamship.com

Company Facts

Organization Name

Intel

Date Founded

1968

Company Location

United States

Company Website

www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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