One GPU, More Work.
We evaluate Nodus Compute’s resident, software-defined GPU partitioning against native NVIDIA Multi-Process Service (MPS) on the same NVIDIA A100-SXM4-40GB. Using Qwen3-1.7B-FP8 and an identical deterministic two-tenant trace, Nodus delivered 15.0% and 15.1% more completed output throughput at 12 and 16 requests per second, while reducing p99 time to first token by 15.0% and 16.6%. The report includes the matched methodology, results, system interpretation, and reproducibility statement. Machine-readable evidence is available at https://research.nodus-compute.ai/gpu-partitioning.
Authors
- Pranav Varshney (ORCID: https://orcid.org/0009-0004-9427-0446)
- Viswaretas Kotra
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-30
- DOI
- https://doi.org/10.5281/zenodo.23800557
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00