Full-Time
Confirmed live in the last 24 hours
Enhances AI inference with at-memory computing
Senior
Toronto, ON, Canada + 1 more
More locations: Kitchener, ON, Canada
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Untether AI enhances the speed and efficiency of AI inference workloads using at-memory computing. This method places the compute element next to memory cells, which boosts compute density and accelerates AI inference for various neural networks, such as those used in vision, natural language processing, and recommendation systems. The company targets businesses that rely on AI technologies and need high-performance computing for inference tasks. Their products, including the runAI200® devices and tsunAImi® accelerator cards, are designed to deliver exceptional performance, with the tsunAImi® card offering over 2 PetaOps. This allows businesses to optimize their AI workloads while maintaining a compact PCI-Express form factor. Untether AI's goal is to provide efficient and cost-effective solutions for companies looking to improve their AI application performance.
Company Size
51-200
Company Stage
Series B
Total Funding
$144.6M
Headquarters
Toronto, Canada
Founded
2018
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Paid Vacation
Health Insurance
Unlimited Paid Time Off
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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.