06 Microbursts & AI Traffic

The Microburst Challenge

Understanding why AI workloads create the most demanding network traffic patterns in modern data centers—and why traditional approaches fail.

<1ms
Burst Duration
100x
Traffic Spike
~1ms
Sync Window
5µs
Buffer Full

What is a Microburst?

A microburst is a sudden, massive spike in network traffic lasting microseconds to milliseconds. While average bandwidth might look acceptable, these instantaneous peaks can be 10-100x higher—overwhelming buffers and causing packet loss.

Microburst Traffic Pattern

400 Gbps PEAK
t = 0 500µs 1ms 1.5ms 2ms

Green dashed line = Average bandwidth (40 Gbps) • Orange spike = Instantaneous burst (400 Gbps)

Traditional vs AI Traffic Patterns

Traditional web and enterprise traffic spreads smoothly across time. AI training traffic is fundamentally different—thousands of GPUs synchronize simultaneously, creating explosive bursts that shatter network assumptions.

🌐 Traditional Traffic

Peak/Avg Ratio
~2x
Burst Duration
seconds

🤖 AI Training Traffic

Peak/Avg Ratio
100x
Burst Duration
<1ms

GPU Gradient Synchronization

During AI training, GPUs compute independently, then must share results simultaneously. When 10,000+ GPUs all transmit at once, network fabric sees an instant traffic explosion.

🔄 Distributed Training: All-Reduce Synchronization

NODE A • 8x H100
GPU 0
GPU 1
GPU 2
GPU 3
GPU 4
GPU 5
GPU 6
GPU 7
NODE B • 8x H100
GPU 0
GPU 1
GPU 2
GPU 3
GPU 4
GPU 5
GPU 6
GPU 7

Each GPU computes gradients → All GPUs transmit simultaneously → Network sees 16× parallel 400G flows

⏱️ Training Step Timeline

Forward/Backward Pass (Compute)
All-Reduce Sync (BURST)
Weight Update (Low Traffic)

Why Microbursts Matter

When bursts overwhelm network buffers, packets are dropped. In AI training, dropped packets trigger retransmissions that delay ALL GPUs, creating a cascade of wasted compute cycles.

📦

Buffer Overflow

Switch buffers fill in microseconds during bursts

5µs
📉

Packet Loss

Even 0.1% loss degrades training by hours

0.1%
💸

GPU Idle Time

$10,000+ GPUs waiting for network

30%

How One Burst Breaks Everything

A single microburst can trigger a cascade that stalls thousands of GPUs across multiple tenants—demonstrating why isolation at wire speed is non-negotiable.

🔗 The Cascade Effect

Microburst
📦
Buffer Full
Packet Drop
🔄
Retransmit
⏸️
GPU Stall