rdma#
52 picked talks tagged rdma, newest conference first.
NANOG 98#
PyTorch Conference 2026#
- Beyond Collectives: Building Fused Compute-Communication Kernels with PyTorch Symmetric Memory
- Demo Theater: OpenCLIC: Open Communication for Distributed Inference
- EP-Overlap: Hiding Expert-Parallel Communication in MoE Training
- Future of Distributed Communication in PyTorch: New APIs for Fault Tolerance, RDMA and Extensibility
- Introducing NCCL Extensions: Communication Patterns for Modern AI
- Monarch - Single-Machine DevX at Distributed Scale
- rocSHMEM Symmetric Memory in PyTorch for AMD GPUs
- Scaling Foundation Models: From Broken to Near-Linear Multi-Node Training
OCP Global Summit 2026#
@Scale: Networking 2026#
- MetaRoCE: From Spec to NIC to Open Source
- MetaRoCE: Meta's RDMA Transport
- Resilient AI Supercomputer Networking using MRC and SRv6
IETF 126 (Vienna)#
Netdev 0x1A (Rome, 13-16 July 2026)#
- Accelerating Software RDMA (RXE) with Netkit and Devmem
- MACsec-Protected RDMA on DPUs: From Linux Netdev State to Workload Scheduling
- Resilient AI Supercomputer Networking using MRC and SRv6
- Toward Host-Pluggable Congestion Control for RDMA/IP Datacenter Transports
AI Engineer World's Fair 2026#
Cisco Live US 2026 (Las Vegas)#
NANOG 97#
MLSys 2026#
- fabric-lib: RDMA Point-to-Point Communication for LLM Systems
- SAKURAONE: An Open Ethernet–Based AI HPC System and Its Observed Workload Dynamics in a Single-Tenant LLM Development Environment
NSDI '26#
IETF 125 (Shenzhen)#
GTC 2026#
- Break Communication Barriers: Scale AI and HPC with NCCL, NIXL, and NVSHMEM
- Redefining Scalable AI Performance: OCI Supercomputing in the Cloud (Presented by Oracle)
Cisco Live Europe 2026 (Amsterdam)#
NANOG 96#
FOSDEM 2026#
- Lessons from scaling BPF to detect RDMA Device Drivers Bugs in real time
- So you want to do RDMA programming? RTRS: An easy to use, reliable high speed transport library over RDMA
ACM CoNEXT 2025#
KubeCon + CloudNativeCon North America 2025#
- Navigating the AI/ML Networking Maze in Kubernetes: Lessons From the Trenches
- Spiderpool: Dynamic Topology-Aware RDMA Allocation For GPU-Based AI Workloads
DENOG 17 (Essen)#
- Ultra Ethernet: Addressing AI/HPC Interconnect Challenges Beyond the InfiniBand Monopoly
- Ultra Ethernet: Addressing AI/HPC Interconnect Challenges Beyond the InfiniBand Monopoly
IETF 124 (Montreal)#
- Credit-based Flow Control Based on RSVP for RDMA transmission in WAN
- Fast Notification for tunnel-based lossless RDMA transmission in WAN
OCP Global Summit 2025#
- Performance Evaluation of Interconnect Technologies for AI Scale-Up Computing: UAL vs UALoE/SUE vs RoCE
- Technical Aspects of Ultra Ethernet 1.0
Netnod Tech Meeting 2025#
SIGCOMM 2025#
- Alibaba Stellar: A New Generation RDMA Network for Cloud AI
- ByteDance Jakiro: Enabling RDMA and TCP over Virtual Private Cloud
- Falcon: A Reliable, Low Latency Hardware Transport
- Orderlock: A New Type of Deadlock and its Implications on HPN Protocol Design
- Revisiting RDMA Reliability for Lossy Fabrics (DCP)
- Software-based Live Migration for RDMA (MigrRDMA)
MLSys 2025#
- COMET: Fine-grained Computation-communication Overlapping for Mixture-of-Experts
- Context Parallelism for Scalable Million-Token Inference