Embedl is Heading to San Jose for NVIDIA GTC

We are excited to share that Embedl is heading to San Jose, California, for NVIDIA GTC.

GTC is where the future of AI infrastructure, accelerated computing, robotics, and generative AI comes together. It is the place where cutting-edge research meets real-world deployment. And this year, the conversation is increasingly about one thing: how AI moves from the cloud into physical systems.

At Embedl, that is exactly where we operate.

From Models to Machines

AI is no longer just about training larger models. It is about reliably deploying them on real hardware across vehicles, robots, industrial systems, and resource-constrained devices.

Whether it is Physical AI in automotive and robotics, or large language models running on edge hardware such as NVIDIA Orin and Thor, the challenge is the same:

How do you make AI production-ready in the real world?

That means:

• Running efficiently on specific hardware
• Achieving real performance gains, not incremental tweaks
• Ensuring reproducibility from an open source model to a compiled binary
• Enabling traceability and validation in safety-critical workflows

This is the infrastructure layer we are building at Embedl.

What We Are Bringing to GTC

At GTC, we are focused on demonstrating:

• Deployment-ready, hardware-specific LLM packages optimized for NVIDIA platforms
• Reproducible optimization and compilation recipes from HuggingFace to the target device
• Performance breakthroughs that make previously impractical deployments feasible
• A traceable workflow for Physical AI systems in regulated environments

We believe that deploying AI on real devices should not require months of low-level optimization work. Plug in the device. Select the model. Run it with confidence.

Let’s Connect

The shift from cloud to AI in the physical world is accelerating. GTC is where many of those conversations start. Schedule a meeting with our team here.

See you in San Jose.