InstaDeep deployed Dell's AI infrastructure to cut PCB design time and compute costs by 10x and 30% respectively, accelerating its shift toward autonomous industrial agents.

What happened: InstaDeep partnered with Dell Technologies and NVIDIA to build a high-performance computing cluster called Kyber, powered by NVIDIA H100 GPUs. The deployment enabled its DeepPCB software—an AI tool that automates printed circuit board design—to achieve 10x faster design speed, 10x greater computational performance, 40% faster AI model training, and 30% lower infrastructure costs.

Why it matters: Manufacturing and industrial R&D companies face bottlenecks when scaling AI workloads; this case shows that purpose-built AI infrastructure can unlock dramatic gains in both speed and cost efficiency. InstaDeep's ability to accelerate circuit board design by a full order of magnitude demonstrates how specialized AI tooling paired with compute power translates to real competitive advantage in advanced manufacturing.

What to watch: InstaDeep is now expanding its reinforcement learning models beyond electronics into humanoid robotics and complex autonomous industrial tasks. The company's co-founder and CEO stated that 2025 will be "the year of smart agents—systems that operate in complex environments and make decisions," signaling a broader push into autonomous industrial applications.