MTU Efficiency & Goodput Modeler
Precision calculator for protocol goodput. Model the impact of VLAN, IP, TCP, and Tunneling headers (VXLAN/GENEVE/GRE) across arbitrary MTU floors.
MTU Configuration
Packet Reduction
Overhead Saved
CPU Int. Reduction
Throughput Gain
MTU Comparison
Performance Gains with Jumbo Frames
Packet Count
12,018,602 vs 74,877,394
Time Saved
0.332s
Fewer Interrupts
83.9% reduction
"Jumbo frames (MTU 9000) reduce protocol overhead by ~83% and CPU interrupts proportionally for large data transfers."
1. The Framing Tax: The Metadata Penalty
Every bit of application payload sent over the wire is wrapped in multiple layers of "Metadata" (Headers). Since these headers consume physical bandwidth but provide zero application goodput, they represent a systemic tax.
Link Efficiency Formula
For a standard 1500B MTU packet, the actual data is roughly 1460 bytes. This results in efficiency. Moving to **9000 bytes** (Jumbo) pushes efficiency to , reclaiming nearly 5% of physical bandwidth purely by reducing header count.
2. CPU Pressure: The Interrupt (IRQ) Storm
As network throughput transitions from 10G to 400G, the primary bottleneck is not the fiber—it is the CPU Interconnect. The CPU must handle an interrupt for every incoming packet arrival.
1500B IRQ Storm
At 100Gbps, a 1500 MTU link generates 8.3 million packets/sec. Each packet triggers a hardware interrupt, pinning the CPU just managing arrival.
Jumbo Relief
A 9000 MTU link generates only 1.4 million packets/sec. This reduces CPU interrupt frequency by 83%, freeing cores for actual workload processing.
3. Encapsulation Tax: VXLAN & GENEVE
In software-defined networks, tenant packets are wrapped inside outer headers. This tax is the primary cause of modern MTU fragmentation failures.
Overhead Forensics
The 50B VXLAN Penalty
Outer IP (20) + UDP (8) + VXLAN (8) = approx 50B. If your physical link (Underlay) is 1500, your VM (Overlay) MUST be 1450 to avoid silent packet drops.
MSS Clamping Fix
Routing engineers use 'iptables' to 'clamp' the TCP segment size (MSS) to 1350. This 'tricks' the endpoints into sending small packets natively.
4. AI Fabrics: Why 4096 (4K) is the Limit
In GPU-GPU training fabrics using RDMA (RoCE v2), the industry has standardized on **4K MTU**. This is a hardware architectural requirement.
Memory Page Alignment
Standard Linux memory pages are 4KB. Setting MTU to 4096 allows the NIC to write a single packet directly into a single physical memory page via DMA.
Zero-Copy DMA
This alignment removes the need for the CPU to 're-buffer' data. It is the fundamental plumbing behind sub-10μs training latency in All-Reduce collectives.
Frequently Asked Questions
Technical Standards & References
Related Engineering Resources
"You are our partner in accuracy. If you spot a discrepancy in calculations, a technical typo, or have a field insight to share, don't hesitate to reach out. Your expertise helps us maintain the highest standards of reliability."
Contributors are acknowledged in our technical updates.
