Local ML Infrastructure Solutions

At Red Patch Technologies, we understand the importance of data sovereignty and security in machine learning (ML) infrastructure. That’s why we offer customized solutions for deploying ML workloads locally, giving you full control over your data.

Options for Every Need

We support three primary deployment options to fit your organization’s unique requirements:

1. Private Cloud

Host your ML applications on a private cloud infrastructure. This option provides:

• Lower upfront costs
• Scalability and flexibility
• Fixed monthly costs (although prices may increase over time)

However, this option may become expensive in the long run due to recurring cloud hosting fees.

2. Leased Hardware in a Local Data Centre

Lease hardware and host it in a local data centre near our offices. This option offers:

• Higher upfront costs
• Lower long-term costs through hardware amortization
• Better control over infrastructure and security

This solution provides a balance between cost and control, with the added benefit of local support.

3. On-Premise Ownership

Purchase and own all necessary hardware, which we’ll set up and maintain on your premises or in your own data centre. This option features:

• Highest upfront costs
• Lowest monthly costs
• Full ownership and control over infrastructure and security

With our support, you’ll enjoy the benefits of owning your ML infrastructure while minimizing maintenance and upkeep concerns.

Optional Support Plan

Add an extra layer of protection and expertise to your local ML infrastructure with our optional support plan. This includes:

• Priority troubleshooting
• Regular software updates
• Monitoring and maintenance
• Training and knowledge transfer

Our support plan helps you maximize uptime, optimize performance, and reduce risk. Available as an add-on to each of our local ML infrastructure options.

Benefits of Local ML Infrastructure

By deploying your ML workloads locally, you’ll gain:

• Enhanced security: Keep sensitive data on-premise or in a private cloud
• Improved control: Manage your infrastructure and make changes as needed
• Cost savings: Avoid long-term cloud hosting fees and amortize hardware costs
• Increased performance: Optimize your ML workloads for better results

Use Cases for Local ML Infrastructure

Our local ML infrastructure solutions can be applied to a wide range of industries and use cases, including:

• Predictive Maintenance: Reduce downtime and increase efficiency in manufacturing and logistics
• Customer Segmentation: Create targeted marketing campaigns and improve customer satisfaction in retail and e-commerce
• Quality Control: Improve product quality and reduce waste in food processing and manufacturing
• Supply Chain Optimization: Reduce fuel consumption and lower emissions in logistics and transportation

We’ve also worked with companies in various industries, including:

• Healthcare: Medical image analysis, disease diagnosis, patient outcome prediction
• Finance: Risk assessment, portfolio optimization, fraud detection
• Manufacturing: Predictive maintenance, quality control, supply chain optimization
• Retail: Customer segmentation, recommendation systems, inventory management

Our local ML infrastructure solutions can help you:

• Make better decisions based on data analysis and machine learning
• Automate repetitive tasks and improve process efficiency
• Optimize operations and reduce waste
• Enhance customer experience and improve satisfaction and loyalty

Get Started Today

Contact us to discuss your local ML infrastructure needs and determine the best solution for your organization. Our experts will guide you through the process, ensuring a seamless deployment and ongoing support.