Generative AI offers real ROI but requires a complete AI-ready hardware and software stack. Matching needs to infrastructure is crucial. Cloud vs. on-prem considerations and open-source vs. proprietary models are key decisions. Maximizing hardware with a software stack and future proofing against growing complexity are important considerations.
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Infrastructure decisions and workload considerationsCloud versus on-prem considerationsOpen source versus proprietary modelsMaximizing hardware with your software stackFuture proofing against the growing complexity of LLMs35 Impressions