Dan Feigin

Dan Feigin is a senior software engineer at NVIDIA with an emphasis on container state recovery and GPU checkpoint/restore mechanisms. He focuses on developing solutions utilizing Snapshot restore, CRIU, and CUDA to minimize startup times for large-scale inference services and fractional GPU workloads on Kubernetes.
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Posts by Dan Feigin

Data Center / Cloud

Start and Restore GPU Workloads in Seconds with NVIDIA Snapshot

NVIDIA Snapshot, a new open-source component of the NVIDIA DSX AI Factory Platform, makes initialized GPU workloads reusable across inference... 8 MIN READ
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NVIDIA Dynamo Snapshot: Fast Startup for Inference Workloads on Kubernetes

In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However, cold-starting inference workloads... 15 MIN READ