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What is Bayesforge?

Bayesforgeâ„¢ is a meticulously crafted Linux machine image aimed at equipping data scientists with high-quality open source software and offering essential tools for those engaged in quantum computing and computational mathematics who seek to leverage leading quantum computing frameworks. It seamlessly integrates popular machine learning libraries such as PyTorch and TensorFlow with the open source resources provided by D-Wave, Rigetti, IBM Quantum Experience, and Google's pioneering quantum programming language Cirq, along with a variety of advanced quantum computing tools. Notably, it includes the quantum fog modeling framework and the Qubiter quantum compiler, which can efficiently cross-compile to various major architectures. Users benefit from a straightforward interface to access all software via the Jupyter WebUI, which features a modular design that supports coding in languages like Python, R, and Octave, thus creating a flexible environment suitable for a wide array of scientific and computational projects. This extensive setup not only boosts efficiency but also encourages collaboration among professionals from various fields, ultimately leading to innovative solutions and advancements in research. As a result, users can expect an integrated experience that significantly enhances their analytical capabilities.

What is Amazon EC2 Inf1 Instances?

Amazon EC2 Inf1 instances are designed to deliver efficient and high-performance machine learning inference while significantly reducing costs. These instances boast throughput that is 2.3 times greater and inference costs that are 70% lower compared to other Amazon EC2 offerings. Featuring up to 16 AWS Inferentia chips, which are specialized ML inference accelerators created by AWS, Inf1 instances are also powered by 2nd generation Intel Xeon Scalable processors, allowing for networking bandwidth of up to 100 Gbps, a crucial factor for extensive machine learning applications. They excel in various domains, such as search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization features, and fraud detection systems. Furthermore, developers can leverage the AWS Neuron SDK to seamlessly deploy their machine learning models on Inf1 instances, supporting integration with popular frameworks like TensorFlow, PyTorch, and Apache MXNet, ensuring a smooth transition with minimal changes to the existing codebase. This blend of cutting-edge hardware and robust software tools establishes Inf1 instances as an optimal solution for organizations aiming to enhance their machine learning operations, making them a valuable asset in today’s data-driven landscape. Consequently, businesses can achieve greater efficiency and effectiveness in their machine learning initiatives.

Media

Media

Integrations Supported

PyTorch
TensorFlow
AWS Marketplace
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon Web Services (AWS)
D-Wave
Google Cirq
IBM Quantum
MXNet
R
Rigetti Quantum Cloud Services (QCS)

Integrations Supported

PyTorch
TensorFlow
AWS Marketplace
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon Web Services (AWS)
D-Wave
Google Cirq
IBM Quantum
MXNet
R
Rigetti Quantum Cloud Services (QCS)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.228 per hour
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

Quantum Programming Studio

Company Website

artiste-qb.net/bayesforge/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/inf1/

Categories and Features

Categories and Features

Machine Learning

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

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AWS Neuron

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Google Cirq

Google
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LIQUi|>

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