Infrastructure to run AI on Edge

Privacy preserving ML/AI models on edge devices

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Key Features

Experience advanced machine learning capabilities on the edge

1

Proprietary Compression

Compress and optimize models to run efficiently on edge devices

2

Secure Local Processing

Multiparty computation (MPC), fully homomorphic encryption (FHE), and trusted execution environment (TEE)

3

Offline and Limited Connectivity Support

Enable ML models to work without constant internet access

4

Multimodal LLMs

Operate multimodal LLMs beyond traditional cloud-based systems

5

High-Performance Edge Computing

Utilize the power of edge devices for high-speed processing

6

Cross-Platform Compatibility

Run ML models seamlessly on different edge devices

Challenges of Traditional Cloud-Based Systems

Reliance on constant internet connectivity
Data privacy and security concerns
Limited availability of high-processing power systems
Dependency on cloud-based infrastructure
Difficulty in running multimodal LLMs

Our Innovative Solutions

Run ML models directly on edge devices
Securely process data locally
Work offline or with limited connectivity
Enable multimodal LLMs
Overcome traditional cloud-based constraints

Why Choose Fastagger

White Outer Space Satellite
1
Cutting-edge Edge Computing

We leverage advanced techniques to optimize edge computing performance.

2
Unparalleled Security

Multiparty computation (MPC), fully homomorphic encryption (FHE), and trusted execution environment (TEE).

3
Flexibility and Accessibility

Our solutions empower users to work offline and on various edge devices.

Frequently Asked Questions

Learn more about our edge computing solutions

Take Your Edge Computing to the Next Level

Get in touch with us today to learn more about our software.

team@fastagger.com
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