PyTorch Conference Europe

We're happy to announce that Embedl will be at the very first PyTorch Conference Europe.  And we're not showing up empty-handed.

Introducing Embedl Deploy

We're using this moment to officially release Embedl Deploy, a tool built for engineers who are done wrestling with the gap between model development and real-world deployment.

If you've ever hit a wall trying to get a model running on target hardware,  dealing with quantization headaches, compilation failures, or compatibility nightmares,  Embedl Deploy was built for you.

Here's what it helps your team do:

• Build models that are truly deployable from the start, not just in theory
• Eliminate hardware compatibility issues that slow down production timelines
• Solve quantization and compilation challenges, whether you're working with PTQ or QAT
• Optimize and deploy with confidence on edge devices, without last-minute surprises

The goal is simple: less friction between your notebook and your hardware.

Embedl Models, Optimized GenAI, Ready for the Edge

We're also showcasing Embedl Models, our growing library of GenAI models built specifically for edge hardware.

These aren't just pretrained checkpoints. Every model in the library is:

• Pre-optimized for real hardware, not just benchmarked on data center GPUs
• Quantized and validated on-device, so what you see in testing is what you get in production
• Designed to reduce latency, lower power consumption, and shorten time-to-market

From LLMs to multimodal models, we help teams move from experimentation to production,  without the usual deployment friction that eats up weeks of engineering time.

Let's Connect in Paris

PyTorch Conference Europe is a special occasion,   a first of its kind, and we can't think of a better place to bring these tools to the community that inspired them.

If you're attending, we'd love to connect and show you what we've been working on. Reach out directly to Wilhelm or Shahnawaz, or book a time with us ahead of the conference:

👉 Schedule a meeting with Embedl

See you there.