Builders
Builders
Ship Faster: Startup AI Workload Acceleration with OCI AI Accelerator Packs and NVIDIA
Teams often know the business problem they want AI to solve, but get stuck on the platform decisions: which GPUs to choose, how to assemble a working GenAI stack, and how to scale without unpredictable cost or operational risk.
We’ll demystify how to run GenAI workloads on Oracle Cloud Infrastructure (OCI) using OCI AI Accelerator Packs built on NVIDIA’s full-stack AI platform, so startups and lean enterprise teams can move from idea to live inference in days, not months. We will walk through a practical, startup‑oriented architecture using NVIDIA‑powered OCI GPU clusters, prebuilt GenAI stacks, and one‑click deployment, highlighting real-world scenarios such as AI copilots, RAG search, and route optimization. You’ll leave with a clear mental model of when to use accelerator packs vs. building from scratch, how to think about scaling (and cost) from a few GPUs to large clusters, and concrete next steps to prototype your own NVIDIA‑accelerated application on OCI with a small team and budget.
We’ll demystify how to run GenAI workloads on Oracle Cloud Infrastructure (OCI) using OCI AI Accelerator Packs built on NVIDIA’s full-stack AI platform, so startups and lean enterprise teams can move from idea to live inference in days, not months. We will walk through a practical, startup‑oriented architecture using NVIDIA‑powered OCI GPU clusters, prebuilt GenAI stacks, and one‑click deployment, highlighting real-world scenarios such as AI copilots, RAG search, and route optimization. You’ll leave with a clear mental model of when to use accelerator packs vs. building from scratch, how to think about scaling (and cost) from a few GPUs to large clusters, and concrete next steps to prototype your own NVIDIA‑accelerated application on OCI with a small team and budget.
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Sponsored by Oracle

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