UNIXMENS Telegram 20403
Your large language model (LLM) proof of concept (PoC) was a success. Now what? The jump from a single server to production-grade, distributed AI inference is where most enterprises hit a wall. The infrastructure that got you this far just can't keep up.As discussed in a recent episode of the Technically Speaking podcast, most organizations' AI journey and PoCs begin with deploying a model on a single server—a manageable task. But the next step often requires a massive leap to distributed, production-grade AI inference. This is not simply a matter of adding more machines—we believe this re

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Your large language model (LLM) proof of concept (PoC) was a success. Now what? The jump from a single server to production-grade, distributed AI inference is where most enterprises hit a wall. The infrastructure that got you this far just can't keep up.As discussed in a recent episode of the Technically Speaking podcast, most organizations' AI journey and PoCs begin with deploying a model on a single server—a manageable task. But the next step often requires a massive leap to distributed, production-grade AI inference. This is not simply a matter of adding more machines—we believe this re

via Red Hat Blog https://ift.tt/19U2bYp

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