Spiderpool: High-Performance Underlay Networking for Kubernetes
K8s Guru
2 min read

Table of Contents
Introduction
Most Kubernetes networking conversations are about overlays, service discovery, and “does it work?” Spiderpool lives in the other lane: when you care about squeezing latency and throughput out of the underlying network—especially for AI and HPC-style workloads.
Spiderpool, accepted as a CNCF Sandbox project in 2024, is a Kubernetes network solution offering underlay and Remote Direct Memory Access (RDMA) capabilities. With IPv4 and IPv6 support, it targets environments where high-performance networking and predictable data paths matter.
Underlay Networking
- Direct networking provides direct access to physical network infrastructure.
- Bypass overlay enables bypassing overlay network overhead.
- Performance optimization provides optimal network performance.
- Low latency minimizes network latency for high-performance workloads.
RDMA Support
- RDMA capabilities enable Remote Direct Memory Access for high-performance networking.
- Zero-copy networking enables zero-copy data transfers.
- Low latency provides minimal latency for RDMA operations.
- High throughput enables high throughput for data-intensive workloads.
IPv4 and IPv6 Support
- Dual-stack support enables both IPv4 and IPv6 networking.
- Migration support enables migration between IPv4 and IPv6.
- Compatibility ensures compatibility with existing network infrastructure.
- Flexibility provides flexibility in network configuration.
AI Workload Optimization
- High bandwidth enables high bandwidth for AI data transfers.
- Low latency minimizes latency for AI training workloads.
- Scalability enables scaling to large AI clusters.
- Performance monitoring provides visibility into network performance.
Use Cases
- AI training enables high-performance networking for AI training.
- HPC workloads enable high-performance computing workloads.
- Data intensive applications enable data-intensive applications.
- Real-time applications enable real-time applications requiring low latency.
Practical notes (underlay + RDMA comes with constraints)
- Hardware and drivers matter: RDMA isn’t a “toggle”—NIC capabilities, kernel/driver versions, and node configuration often define what’s feasible.
- IPAM and address planning: underlay approaches can put pressure on IP capacity and routing design; plan address management up front.
- Observability is non-negotiable: when performance is the goal, you’ll want clear signals for latency, drops, and saturation to avoid blind tuning.
Summary
| Aspect | Details |
|---|---|
| Release Date | 2024 (CNCF Sandbox) |
| Headline Features | Underlay networking, RDMA support, IPv4/IPv6 support, AI workload optimization |
| Why it Matters | Delivers high-performance networking optimized for AI and HPC workloads |
Spiderpool represents a significant advancement in Kubernetes networking, providing teams with high-performance networking capabilities for demanding workloads.