# Traffic Mirroring quotas Quotas The following are the quotas for Traffic Mirroring for your AWS account. **Topics** + [ ## Sessions ](#traffic-mirroring-quotas-sessions) + [ ## Targets ](#traffic-mirroring-quotas-targets) + [ ## Filters ](#traffic-mirroring-quotas-filters) + [ ## Throughput ](#traffic-mirroring-quotas-throughput) + [ ## Packets ](#traffic-mirroring-quotas-packets) + [ ## Sources ](#traffic-mirroring-quotas-sources) ## Sessions | Name | Default | Adjustable | | --- | --- | --- | | Maximum number of sessions per account | 10,000 | No | | Maximum number of sessions per source network interface | 3 | No | | Maximum number of sessions for a single Gateway Load Balancer endpoint | Unlimited | Not applicable | ## Targets | Name | Default | Adjustable | | --- | --- | --- | | Maximum number of targets per account | 10,000 | No | ## Filters | Name | Default | Adjustable | | --- | --- | --- | | Maximum number of filters per account | 10,000 | No | | Maximum number of sessions per source network interface | 3 | No | | Maximum number of filter rules per filter | 10 | No | ## Throughput | Name | Default | Adjustable | | --- | --- | --- | | Maximum throughput through a single Gateway Load Balancer endpoint | 100 Gbps | No | ## Packets | Name | Default | Adjustable | | --- | --- | --- | | Maximum number of MTUs for a Gateway Load Balancer endpoint | 8,500 | No | ## Sources | Name | Default | Adjustable | | --- | --- | --- | | Maximum number of sources per Network Load Balancer | No limit | No | | Maximum number of sources per Gateway Load Balancer endpoint | No limit | No | | Maximum number of sources per target | 100 or 10 depending on the instance type. For more information, see the list below 1 | No | 1 The following instance types support up to 100 sources per target. All other instance types support up to 10 sources per target. + **General Purpose: **m5.24xlarge \$1 m5d.24xlarge \$1 m5dn.24xlarge \$1 m5n.24xlarge \$1 m5zn.12xlarge \$1 m6a.48xlarge \$1 m6g.16xlarge \$1 m6gd.16xlarge \$1 m6i.32xlarge \$1 m6id.32xlarge \$1 m6idn.32xlarge \$1 m6in.32xlarge \$1 m7a.48xlarge \$1 m7i.48xlarge \$1 m8a.48xlarge \$1 m8azn.24xlarge \$1 m8g.48xlarge \$1 m8gb.24xlarge \$1 m8gb.48xlarge \$1 m8gd.48xlarge \$1 m8gn.24xlarge \$1 m8gn.48xlarge \$1 m8i.96xlarge \$1 m8id.96xlarge + **Compute Optimized: **c5.18xlarge \$1 c5.24xlarge \$1 c5d.18xlarge \$1 c5d.24xlarge \$1 c5n.18xlarge \$1 c6a.48xlarge \$1 c6g.16xlarge \$1 c6gd.16xlarge \$1 c6gn.16xlarge \$1 c6i.32xlarge \$1 c6id.32xlarge \$1 c6in.32xlarge \$1 c7a.48xlarge \$1 c7gn.16xlarge \$1 c7i.48xlarge \$1 c8a.48xlarge \$1 c8g.48xlarge \$1 c8gb.24xlarge \$1 c8gb.48xlarge \$1 c8gd.48xlarge \$1 c8gn.24xlarge \$1 c8gn.48xlarge \$1 c8i.96xlarge \$1 c8id.96xlarge + **Memory Optimized: **r5.24xlarge \$1 r5b.24xlarge \$1 r5d.24xlarge \$1 r5dn.24xlarge \$1 r5n.24xlarge \$1 r6a.48xlarge \$1 r6g.16xlarge \$1 r6gd.16xlarge \$1 r6i.32xlarge \$1 r6id.32xlarge \$1 r6idn.32xlarge \$1 r6in.32xlarge \$1 r7a.48xlarge \$1 r7i.48xlarge \$1 r7iz.32xlarge \$1 r8a.48xlarge \$1 r8g.48xlarge \$1 r8gb.24xlarge \$1 r8gb.48xlarge \$1 r8gd.48xlarge \$1 r8gn.24xlarge \$1 r8gn.48xlarge \$1 r8i.96xlarge \$1 r8id.96xlarge \$1 u-6tb1.56xlarge \$1 u-6tb1.112xlarge \$1 u-9tb1.112xlarge \$1 u-12tb1.112xlarge \$1 u-18tb1.112xlarge \$1 u-24tb1.112xlarge \$1 u7i-6tb.112xlarge \$1 u7i-8tb.112xlarge \$1 u7i-12tb.224xlarge \$1 u7in-16tb.224xlarge \$1 u7in-24tb.224xlarge \$1 u7in-32tb.224xlarge \$1 u7inh-32tb.480xlarge \$1 x2gd.16xlarge \$1 x2idn.32xlarge \$1 x2iedn.32xlarge \$1 x2iezn.12xlarge \$1 x8g.48xlarge \$1 x8aedz.24xlarge \$1 x8i.96xlarge \$1 z1d.12xlarge + **Storage Optimized: **i3en.24xlarge \$1 i4g.16xlarge \$1 i4i.32xlarge \$1 i7i.48xlarge \$1 i7ie.48xlarge \$1 i8g.48xlarge \$1 i8ge.48xlarge \$1 im4gn.16xlarge + **Accelerated Computing: **dl1.24xlarge \$1 dl2q.24xlarge \$1 f2.48xlarge \$1 g5.48xlarge \$1 g5g.16xlarge \$1 g6.48xlarge \$1 g6e.12xlarge \$1 g6e.24xlarge \$1 g6e.48xlarge \$1 g7e.12xlarge \$1 g7e.24xlarge \$1 g7e.48xlarge \$1 inf1.24xlarge \$1 inf2.48xlarge \$1 p3dn.24xlarge \$1 p4d.24xlarge \$1 p4de.24xlarge \$1 p5.4xlarge \$1 p5.48xlarge \$1 p5e.48xlarge \$1 p5en.48xlarge \$1 p6-b200.48xlarge \$1 p6-b300.48xlarge \$1 p6e-gb200.36xlarge \$1 trn1.32xlarge \$1 trn1n.32xlarge \$1 trn2.3xlarge \$1 trn2.48xlarge \$1 trn2u.48xlarge \$1 vt1.24xlarge + **High Performance Computing: **hpc6a.48xlarge \$1 hpc6id.32xlarge \$1 hpc7a.12xlarge \$1 hpc7a.24xlarge \$1 hpc7a.48xlarge \$1 hpc7a.96xlarge \$1 hpc7g.4xlarge \$1 hpc7g.8xlarge \$1 hpc7g.16xlarge \$1 hpc8a.96xlarge