NewsAugust 25, 2026

Big News for Small Form Factors: WOLF Advances Embedded AI Roadmap Following NVIDIA Announcement

Robotic arm holding a processor chip, framed by a second robotic arm

Image Credit: NVIDIA

Aurora, Ontario — August 25 2026 — Wolf Advanced Technology (WOLF) today announced the continued advancement of its embedded AI computing roadmap following the announcement of NVIDIA Jetson T3000 and T2000 modules. The announcement marks another step forward in enabling next-generation AI performance for robotics, autonomous systems, industrial automation, and other edge computing applications.

Announced by NVIDIA on July 15, the new Jetson T3000 and T2000 modules expand the NVIDIA Jetson Thor family by bringing the NVIDIA Blackwell architecture to a broader range of intelligent machines. These technologies provide developers with scalable AI computing options that deliver advanced performance in increasingly compact, power-efficient deployments.

As demand for real-time AI inference at the edge continues to grow across aerospace, public safety, industrial automation, and robotics, WOLF is evaluating these latest advancements as part of its ongoing strategy to deliver rugged embedded computing solutions, including Small Form Factor (SFF) platforms such as VNX+, that help customers deploy increasingly sophisticated AI capabilities in challenging operating environments.

“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,” said Austin Lindquist, Director of Innovation at WOLF. “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.”

The announcement reinforces a broader industry trend toward more capable edge computing systems that can execute increasingly complex AI models directly on platforms. Rather than relying solely on cloud infrastructure, organizations are moving AI closer to where data is generated, enabling faster decision-making, reduced latency, and improved operational resilience.

For WOLF, the continued expansion of the NVIDIA Jetson edge AI platforms creates new opportunities to support customers developing next-generation intelligent systems across applications including:

  • Autonomous vehicles and robotics
  • AI-powered vision systems
  • Industrial automation
  • Edge AI and machine learning inference

WOLF's partnership builds on a long history of integrating NVIDIA technologies into rugged embedded computing solutions, providing customers with high-performance platforms engineered for operation in harsh environments where reliability is critical.

NVIDIA has announced that the Jetson T3000 and Jetson T2000 modules are expected to become available beginning in Q1 2027. WOLF will continue evaluating these technologies and working closely with customers to support future AI-enabled embedded computing requirements.

For more information about WOLF's Small Form Factor platforms, visit wolfadvancedtechnology.com/products/small-form-factor-overview


About Wolf Advanced Technology

Wolf Advanced Technology (WOLF) develops rugged, high-performance embedded computing, AI, and video processing solutions for aerospace and defense platforms. Leveraging advanced and AMD®/Xilinx® FPGAs, WOLF's products deliver real-time processing and high-speed data throughput in extreme environments. WOLF's modular architectures include SOSA® aligned VPX, XMC, MXM/MXC, VNX+, Small Form Factor, and fully customized configurations, supporting a broad range of multi-modal sensor intakes and video formats. Designed for demanding C5, ISR, EW, and AI systems, WOLF's SWaP-optimized solutions deliver unmatched reliability and performance, backed by experienced, industry-leading support for mission-critical applications worldwide.

Join Our Newsletter

Get product updates, papers, and event news from WOLF.

Rejoining the server...

Rejoin failed... trying again in seconds.

Failed to rejoin.
Please retry or reload the page.

The session has been paused by the server.

Failed to resume the session.
Please reload the page.