In our pursuit of advancing AI for remote edge environments, we're deploying various AI applications on Galleons, our mobile and modular high-performance data centers. From generative models to multimodal AI and multiple GPU configurations, we're catering to a wide range of industrial applications, paving the way for the future of AI in remote and resource-constrained environments. Check out what we’re up to as Prag Mishra, our Chief AI Officer, takes you into the groundbreaking work we're doing at Armada, including: - The critical components necessary for deploying low-latency video and - language applications on the edge. - The intricate balance of compute power, memory capacity, and sensor connectivity. - Requirements for processing raw data streams, including deep learning-based vision and language models. - The importance of cooling considerations and power efficiency for seamless video processing at the edge. https://lnkd.in/emFUDjQR
Ben Cross
2mo
Does Microsoft’s new Hardware (laptops) that puts AI at the edge look like a good place to partner and improve Armada’s mission?
AI Product Manager @Talentmapp | Software Developer | Cloud Specialist | CMU | IIT Bombay | Ex Flipkart, Cognizant
2moArmada's Galleons are truly revolutionary for edge computing. The ability to deliver the power of a full data center in a compact form factor opens up amazing possibilities for remote and underserved areas. It's impressive how Armada leverages Starlink's connectivity to achieve this. The combination addresses the critical need for reliable, high-speed internet in places where traditional infrastructure is lacking. And the name Armada is perfect! Armada's fleet of Galleons represents a wave of innovation, delivering powerful tech to uncharted territories. Excited to see how Armada continues to push the boundaries of edge computing.