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Untether AI Ships the tsunAImi tsn200 Accelerator Card, Delivering High Performance Inference Beyond the Datacenter

  • The tsunAImi tsn200 accelerator card democratizes AI with a low-cost, high performance, energy efficient offering.
  • The tsunAImi tsn200 ships with an end-to-end Smart City reference design, providing a complete solution for video analytic applications.

AI Hardware and Edge AI Summit, Santa Clara, Calif – September 12, 2023 – Today, Untether AIⓇ, the leader in energy-centric AI acceleration technology, announced the shipment of its tsunAImiⓇ tsn200 accelerator card powered by the runAIⓇ 200 device. By leveraging at-memory computation, Untether AI breaks through the barriers of traditional von Neumann architectures, offering industry-leading compute density with power and price efficiency.

Democratizing AI with a Cost-Efficient Offering

The introduction of the tsunAImi tsn200 accelerator card marks a significant leap towards democratizing AI by providing a more accessible entry point into the world of high-end artificial intelligence. The barriers of exorbitant computational expenses and power consumption has hindered widespread AI adoption. These barriers are overcome by the tsn200 accelerator card’s 500 TOPS, consuming only 40W for typical applications. Delivered in a small, cost-effective low-profile PCIe form factor, the tsn200 accelerator card enables data-center class compute untethered from cloud.

“Companies deploying AI beyond the datacenter were historically restricted to smaller, less effective neural networks due to resource constraints at the edge. That’s why we’re excited to round out our AI inference offerings with the tsn200 accelerator card. Its smaller, lower power form factor doesn’t compromise on performance and enables high performance AI anywhere,” said Arun Iyengar, CEO.

The tsn200 presents an opportunity for businesses to effortlessly boost their AI inference workloads and deploy larger, more potent AI models to the edge without exceeding their power or cost budgets.

tsunAImi tsn200 Delivers Unprecedented Performance for Video Analytics

Real-time video analytics demands optimal power consumption and reduced latency, and the tsunAImi tsn200 accelerator card is specifically engineered to meet these requirements. Its exceptional compute density ensures rapid and accurate processing of video data, enabling businesses to make informed decisions and gain actionable insights in real time.

Along with the tsn200 accelerator card, Untether AI provides a multi-camera Smart City reference design. It includes a complete software stack, including video ingest, preprocessing, AI acceleration, and post processing. It comes with an optimized instance segmentation neural network, trained for pedestrian and vehicle detection. However, other networks, such as object detection or semantic segmentation, can be easily added to expand the use case into smart retail, geospatial, or other video analytic applications requiring multi-camera, high-definition, real-time performance. Supplied with full source code, businesses can easily integrate this high-performance reference design to expedite the implementation of AI-powered solutions.


The tsn200 accelerator card is available now. Further information can be found at To order please go to

Untether AI will be participating at the AI Hardware and Edge AI Summit being held September 12 – 14, 2023 at the Santa Clara Marriott, Santa Clara, CA in booth #47.

About Untether AI

Untether AI® provides energy-centric AI inference acceleration from the edge to the cloud, supporting any type of neural network model. With its at-memory compute architecture, Untether AI has solved the data movement bottleneck that costs energy and performance in traditional CPUs and GPUs, resulting in high-performance, low-latency neural network inference acceleration without sacrificing accuracy. Untether AI embodies its technology in runAI® and speedAI™ devices, tsunAimi™ accelerator cards, and its imAIgine™ Software Development Kit. Founded in Toronto in 2018, Untether AI is funded by CPPIB, GM Ventures, Intel Capital, Radical Ventures, and Tracker Capital.

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