Hi everyone,
We’re using HP AI Studio and Z by HP workstations for local and hybrid AI development, and as our workloads grow, we’re collaborating with remote data scientists and ML engineers across different time zones.
For teams working this way, how do you typically handle:
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Project ownership and handoffs in HP AI Studio
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Environment consistency (packages, configs, datasets) across local and remote contributors
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Secure access to models, experiments, and compute resources on Z workstations or ZGX systems
We’re exploring support from a remote recruitment agency like CrewBloom to scale specialized AI talent, and I’m curious how others ensure smooth collaboration and governance when contributors aren’t in-house.
Would love to hear best practices or lessons learned from teams running distributed AI workflows on HP’s AI stack.
Thanks in advance!