← Sunday, October 18, 2026InferenceBenchmark

An eBPF GPU-server request loop matched an efficient epoll baseline

eunomia.dev 9 min read Editor score 8/10

The bpf-gpu-server moves TCP handling into eBPF and io_uring so no user thread reads, schedules or sends requests, yet CPU use and latency matched an efficient epoll server. The comparison helps identify when kernel-bypass complexity is unlikely to improve a GPU serving path.

What
bpf-gpu-server moves a GPU server's TCP request path into the kernel using eBPF and io_uring, leaving user threads out of individual requests.
How
Against a C++ epoll server using the same GPU executor, queue and graphs, CPU use and latency matched the baseline.
Why it matters
The comparison cautions that removing user-thread work does not necessarily improve server CPU use or latency.
request publish dispatch completion reply Linux TCP/IPreceive sockmap BPF shared queue resident GPUdispatcher sleepable BPFloop Linux TCP/IPsend
Requests travel through kernel networking and BPF to a GPU dispatcher, then return through the send path. Sketched from the article's own text.

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