3 ms·
The claim is that people are running CUDA on Windows for business analytics and data science? This feels less likely an accurate picture and more likely any mas
by vlovich123 6mo ago
The claim is that people are running CUDA on Windows for business analytics and data science? This feels less likely an accurate picture and more likely any mass data processing is already happening on Linux K8s clusters.
- pjmlp 6mo agoYes, if they happen to run tooling like Excel, PowerBI, Tableau,.... Also Linux support for CUDA on laptops, especially with dual GPU setup isn't particularly great. Most workstation class laptops are Windows based.
- vlovich123 6mo agoAFAIK neither excel nor Tableau has any CUDA functionality to begin with so I’m not sure what point you’re trying to make. No one is doing CUDA number crunching on local laptops - either the problem is big enough to warrant a proper data center or it’s small enough that a local CPU is fine. Local CUDA is a weird middle ground that requires a lot of complexity for marginal compute capability. Linux support for CUDA in such an environment is irrelevant.
- pjmlp 6mo agoBecause you are lost how a day in the office of a big corporation looks like. Also this attitude about people not doing compute on laptops, is yet another reason why Intel and AMD keep losing to NVidia.
- vlovich123 6mo agoConsidering I’ve worked for the world’s biggest corporations, medium sized corporations, and startups, I don’t think it’s lost on me. All I said is that the market for single user machine CUDA is marginal which is precisely where Windows dominates, thus even if Mojo doesn’t have windows support to start, it’s not competitively where they need to be. You’ve been rude and dismissive and raised completely unrelated software, but you haven’t actually figured out a way to attack that claim that single user GPU compute isn’t actually important. AMD seems to be doing quite well and NVidia is also getting all its revenue and and market cap from cloud GPUs not single user desktops and laptops so I really don’t understand your point - it doesn’t seem to be grounded in the tactical and strategic decisions anyone is making. That’s precisely why Nvidia continue to cripple their consumer parts to avoid them being used by corporations who don’t want to pay the markup for server parts. But even those corporations who would buy NVidia GPUs in bulk would still be doing compute with Linux clusters, not Windows.
- bigyabai 6mo agoThe K8s clusters do exist, but I've never met anyone in my life that develops their Jupyter notebooks from their business' Kubernetes setup. Most of them don't even use WSL, to my chagrin (and to their detriment).
- vlovich123 6mo agoAnd they’re running these Jupyter notebooks on CUDA? I’m suspicious there’s a problem size where the complexity of GPU processing is warranted but it’s small enough to be workable with a local Windows machine.