Wolf Advanced Technology is advancing its embedded AI computing roadmap to integrate NVIDIA’s newly announced Jetson T3000 and T2000 modules into its rugged Small Form Factor platforms.
The Jetson T3000 and T2000 modules expand the NVIDIA Jetson Thor family, bringing the NVIDIA Blackwell architecture to a broader spectrum of intelligent edge machines. Designed for scalable, power-efficient deployments, these technologies provide developers with computing options that deliver advanced performance in increasingly compact hardware environments.
As demand for real-time AI inference grows across aerospace, public safety, industrial automation, and robotics, WOLF is evaluating the new architecture to bolster its rugged Small Form Factor systems, including the VNX+ platform. Moving AI execution directly to local platforms enables faster decision-making, reduced latency, and improved operational resilience compared to relying solely on cloud infrastructure.
Austin Lindquist, Director of Innovation at WOLF, commented, “The evolution of NVIDIA’s edge AI portfolio reflects a continuing trend in the embedded compute industry: delivering greater AI capability in increasingly compact, power-efficient platforms. As our customers continue pushing the limits of what’s possible at the edge, WOLF remains focused on advancing rugged embedded computing solutions that are ready to support the next generation of AI technologies.”
Building on a long history of integrating NVIDIA technologies into high-performance platforms engineered for operation in harsh environments, WOLF’s updated roadmap supports applications such as autonomous vehicles, AI-powered vision systems, and machine learning inference. The NVIDIA Jetson T3000 and T2000 modules are expected to become available starting in Q1 2027, with WOLF continuing to evaluate the platforms alongside customer requirements ahead of the release.
