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The secret behind Parallax’s performance lies in key server-grade optimizations:
– Continuous batching: dynamically groups requests to maximize hardware utilization and throughput.
– Paged KV-Cache: block-based design prevents memory fragmentation, handles thousands of concurrent requests
– Heterogeneous workers: optimal performance across GPUs and Macs.
Fast. Reliable. Fully distributed.
20.6.2025
Compared to Petals (BitTorrent-style serving), Parallax running Qwen2.5-72B on 2× RTX 5090s achieved:
– 3.1× lower end-to-end latency, 5.3× faster inter-token latency
– 2.9× faster time-to-first-token, 3.1× higher I/O throughput
Results were consistent and showed great scalability across different input configurations, and this is just the beginning.
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