Latent Space Edge
Shares tags: deploy, self-hosted, edge
Experience unparalleled performance for on-device multimodal inference at the edge.
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<a href="https://www.stork.ai/en/nvidia-jetson-edge-ai-stack" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/nvidia-jetson-edge-ai-stack?style=dark" alt="NVIDIA Jetson Edge AI Stack - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/nvidia-jetson-edge-ai-stack)
overview
The NVIDIA Jetson Edge AI Stack combines cutting-edge hardware with an advanced software development kit (SDK) to empower developers in deploying AI applications directly at the edge. This versatile platform allows for real-time processing and inference while ensuring data privacy.
features
The Jetson Edge AI Stack is packed with features designed for performance and scalability, enabling advanced functionality for today’s AI challenges.
use cases
The NVIDIA Jetson Edge AI Stack is built for a multitude of sectors, revolutionizing how industries deploy AI solutions. From autonomous vehicles to smart cities, Jetson meets the needs of diverse applications.
You can develop a wide range of applications including autonomous systems, real-time video analytics, robotics solutions, and more across various industries.
By conducting inference directly on-device, the Jetson Edge AI Stack processes data locally, reducing the need for data transmission and enhancing user privacy.
NVIDIA provides extensive documentation, tutorials, and community resources to assist developers in leveraging the Jetson platform effectively.
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Low-power edge ML deployment platform.
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Edge hardware + tinygrad for local inference.
Latent Space Edge
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Runtime for on-device inference.
OctoEdge
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Deploys LLMs to edge GPUs with quantization.
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Azure services delivered on-prem for regulated workloads.
For builders
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