Everything you need to build, deploy, and operate GPUDirect Storage in production. From API fundamentals to troubleshooting at scale.
APIs, frameworks, and integration patterns
Complete API reference for GPUDirect Storage. cuFile C/C++ interface, kvikIO Python bindings, batch I/O, and buffer management.
Deep integration patterns for DeepSpeed, Megatron-LM, PyTorch FSDP, and distributed training storage optimization.
Infrastructure, topology, and cluster configuration
NVMe-oF setup, Linux storage stack deep dive, Kubernetes CSI integration, and filesystem configuration for GDS workloads.
PCIe Gen5/6 impact, NUMA topology optimization, multi-vendor GPU support, and cluster-scale storage architecture.
Monitoring, troubleshooting, and performance tuning
SSD endurance management, security hardening, Prometheus/Grafana monitoring, thermal management, and cloud provider specifics.
Error handling patterns, debugging with nvme-cli/blktrace/bpftrace, benchmarking methodology, and performance validation.