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Architecture Case Study
Scaling Multi-Region GPU Clusters with Sub-Millisecond RDMA Interconnects
Dr. Elena RostovaJuly 10, 202612 min read
A deep dive into how Spectre Mesh routes tensor states across 35 edge regions with deterministic p99 latency SLAs.
System Architecture Overview
High-concurrency LLM inference for multi-step autonomous agents is fundamentally constrained by GPU Key-Value (KV) cache memory footprints. In long-horizon context windows (up to 128k tokens), memory capacity rather than raw compute throughput becomes the primary bottleneck.
# Benchmark Performance Summary
P99 Latency: 4.1ms per token
Concurrent Capacity: 3.8x per node
KV Memory Compression: 4.2x ratio
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