Hi everyone,
I’m diving into the world of High-Performance Computing (HPC) and trying to figure out the best approach to optimize AI workloads and data analysis processes. As a user who’s been working with AI on a standard workstation, I’m starting to feel the limitations in terms of speed and processing power. I’ve heard HPC could be a game-changer in terms of performance, but I’m unsure about the specifics of setting up an HPC Computing system for tasks like machine learning, deep learning, and large-scale data processing.
Has anyone here worked with HPC setups for similar use cases? What hardware configurations or software tools would you recommend for maximizing performance? Additionally, I’m curious about whether cloud-based HPC solutions could be a good alternative for small-scale projects, or if on-premise setups would provide more flexibility and power for long-term AI tasks.
Looking forward to hearing your experiences and advice!