From Data Chaos to AI Factory for Intelligence: Building Enterprise-Grade AI Infrastructure with HPE Networking
Enterprises are racing to harness AI for innovation, but scaling from pilot projects to production requires more than just GPUs—it demands a new approach. “AI factories” are reshaping how enterprises develop, train, and deploy AI models, scaling from small pilot projects to massive, production-grade workloads. These environments require high-performance compute, low-latency networking, and operational simplicity to maximize GPU utilization and accelerate time-to-value across multivendor deployments.
In this webinar, we’ll explore the evolution of AI factories—from siloed compute clusters to fully integrated, AI-optimized data center solutions that seamlessly integrate compute, storage, and networking. You’ll discover how HPE Juniper Networking delivers an open, secure, and scalable networking with design flexibility, AI-driven operations (AIOps), and validated architectures to reduce deployment risk. We’ll also share how a fabric-first network architecture, combined with workload-optimized compute, accelerates AI adoption, reduces operational complexity, and future-proofs investments—connecting edge AI inference to core AI training environments.
