Full-Time
Confirmed live in the last 24 hours
Enhances AI inference with at-memory computing
No salary listed
Senior
Toronto, ON, Canada
This position is hybrid.
Untether AI enhances the speed and efficiency of AI inference workloads using at-memory computing. This method places computing elements next to memory cells, which boosts compute density and accelerates AI inference for various applications like vision and natural language processing. The company targets businesses that rely on AI technologies, offering products like the runAI200® devices and tsunAImi® accelerator cards. These devices provide high-performance computing, with the tsunAImi® card delivering over 2 PetaOps, making it suitable for demanding AI tasks. Untether AI's goal is to help businesses optimize their AI workloads by providing efficient and cost-effective computing solutions.
Company Size
51-200
Company Stage
Series B
Total Funding
$148.7M
Headquarters
Toronto, Canada
Founded
2018
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Paid Vacation
Health Insurance
Unlimited Paid Time Off
Stock Options
TORONTO--(BUSINESS WIRE)--Untether AI, the leader in energy-centric AI inference acceleration, today announced a collaboration with Arm to develop best-in-class solutions optimized for next-generation automotive applications. As part of this collaboration, Untether AI will enable its inference acceleration technology to be implemented alongside the latest-generation Automotive Enhanced (AE) technology from Arm, to create solutions that address performance, power, safety, and security requirements for advanced Driver Assistance Systems (ADAS) and autonomous vehicle (AV) applications. Compute workloads radically changed in the past several years with the deployment of AI and the increasing complexity of AI and conventional software algorithms has elevated the demand for heterogeneous computing platforms employing domain-specific architectures. This trend, which is especially true in the automotive sector, results in an ideal computing platform that combines a mix of CPUs, AI accelerators, memory, and networking technologies that have been optimized for neural network acceleration and software-defined vehicles (SDV). “The increase in advanced user experiences, ADAS, and AV applications means more heterogeneous compute is needed in the vehicle,” said Suraj Gajendra, vice president of products and solutions, Automotive Line of Business, Arm. “By collaborating with Untether AI to ensure our leading-edge AE technology can work well alongside Untether AI’s acceleration capability, we are enabling our partners to power cutting edge AI workloads across the vehicle.”
Untether says its energy efficient architecture is needed to support next-gen vehicles
"J-Squared Technologies is proud to partner with Untether AI to deliver a solution that meets the rigorous demands of both defense and commercial applications," said Andrew Woollard, Chief Technical Officer at J-Squared Technologies.
Untether AI raises $20 million to develop machine learning inferencing hardware_best bank stocks to buy in india.
To date, Untether AI has raised more than $200 million CAD ($152 million USD) in funding from a group that includes Intel, Tracker Capital, the Canada Pension Plan Investment Board, and Radical Ventures.