Feature Description
hides the TCP packet from the hardware offloading engines, placing
higher loads on the host CPU. ConnectX®-6 Lx effectively addresses
this by providing advanced NVGRE and VXLAN hardware offloading
engines that encapsulate and de-capsulate the overlay protocol.
RDMA and
RDMA over
Converged
Ethernet (RoCE)
ConnectX®-6 Lx, utilizing RDMA (Remote Data Memory Access) and
RoCE (RDMA over Converged Ethernet) technology, delivers low-
latency and high-performance over Band and Ethernet networks.
Leveraging data center bridging (DCB) capabilities, as well as
ConnectX®-6 Lx, advanced congestion control hardware
mechanisms, RoCE provides efficient low-latency RDMA services over
Layer 2 and Layer 3 networks.
NVIDIA
PeerDirect®
PeerDirect® communication provides high-efficiency RDMA access
by eliminating unnecessary internal data copies between
components on the PCIe bus (for example, from GPU to CPU), and
therefore significantly reduces application run time. ConnectX®-6 Lx
advanced acceleration technology enables higher cluster efficiency
and scalability to tens of thousands of nodes.
CPU Offload
Adapter functionality enables reduced CPU overhead leaving more
CPU resources available for computation tasks.
Open vSwitch (OVS) offload using ASAP
2(TM)
• Flexible match-action flow tables
• Tunneling encapsulation/decapsulation
Quality of
Service (QoS)
Support for port-based Quality of Service enabling various
application requirements for latency and SLA.
Hardware-
based I/O
Virtualization
ConnectX®-6 Lx provides dedicated adapter resources and
guaranteed isolation and protection for virtual machines within the
server.
Storage
Acceleration
A consolidated compute and storage network achieves significant
cost-performance advantages over multi-fabric networks. Standard
block and file access protocols can leverage RDMA for high-
performance storage access.
• NVMe over Fabric offloads for the target machine
SR-IOV
ConnectX®-6 Lx SR-IOV technology provides dedicated adapter
resources and guaranteed isolation and protection for virtual
machines (VM) within the server.