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AI Infrastructure Career Roadmap
AI Infrastructure Brainstorming Discussion
About this event
🔹 Compute: GPUs and accelerators (and their memory limits)
🔹 Networking: InfiniBand, RDMA and NCCL, which decide how well training scales
🔹 Storage and data: fast pipelines so GPUs never sit waiting
🔹 Orchestration: Kubernetes and Slurm for scheduling and sharing
🔹 Serving: Triton, vLLM and TensorRT for low-latency inference
🔹 Observability: Prometheus, Grafana and DCGM for GPU health
🔹 Security and cost: access control, quotas, and utilization tracking
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A
Aravind Kumar TS
Community host
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