Five Ways to Understand Kubernetes Networking for Performance-Intensive Workloads

Five Ways to Understand Kubernetes Networking for Performance-Intensive Workloads

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

Intro

1 of 17

1 of 17

Intro

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Five Ways to Understand Kubernetes Networking for Performance-Intensive Workloads

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  1. 1 Intro
  2. 2 High Performance Computing (HPC)
  3. 3 Artificial Intelligence (AI)
  4. 4 AI & HPC - Network Considerations
  5. 5 Remote Direct Memory Access - RDMA
  6. 6 OVN Kubernetes
  7. 7 Single Root I/O Virtualization (SR-IOV)
  8. 8 Legacy OVS / OVN Challenges
  9. 9 Lab Set-Up: K8s Bare Metal
  10. 10 Lab Set-Up: K8s Over OpenStack VM
  11. 11 Test Scenarios
  12. 12 Iperf 2 - TCP Throughput Benchmark
  13. 13 Calico vs Acc OVN: CPU load during test
  14. 14 Accelerated OVN: Flow offloads during test
  15. 15 Intel MPI Benchmarks - PingPong
  16. 16 Computational Fluid Dynamics - OpenFOAM
  17. 17 Genome Sequencing - Basecalling benchmark

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