Full-Time
Enhances AI inference with at-memory computing
No salary listed
Junior, Mid
Toronto, ON, Canada
Remote
Remote opportunity; applicants from anywhere in North America are welcome.
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 include the runAI200® devices and tsunAImi® accelerator cards, which are designed to deliver high 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
$148.7M
Headquarters
Toronto, Canada
Founded
2018
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Paid Vacation
Health Insurance
Unlimited Paid Time Off
Stock Options
Untether had been developing AI inference chips that it marketed as faster and more energy-efficient than its rivals, claiming to offer "energy-centric AI inference acceleration from the edge to the cloud."
AMD accelerates its AI strategy by acquiring Canadian startup Untether AI. The acquisition aims to enhance AMD's capabilities in high-performance computing, graphics, and AI innovation.
AMD has announced that it has just acquired Toronto-based AI chip company Untether AI.
AMD has acquired the team behind AI chip startup Untether AI, known for developing AI inference chips that are faster and more energy-efficient than competitors for edge environments and data centers.
Untether says its energy efficient architecture is needed to support next-gen vehicles