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2

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA cuOpt adds mPDLP multi‑GPU LP solver that scales to 100M+ variables

NVIDIA released mPDLP, a Multi‑GPU Primal‑Dual hybrid gradient solver in cuOpt that shards large linear programs across NVLink‑connected GPUs. mPDLP cuts per‑GPU peak memory (up to 6× vs single‑GPU PDLP), supports problems up to 2.1B nonzeros, and in DGX B200 benchmarks shows PDLP‑step speedups up to 11.4× and typical overall gains of 1.2×–2.5× vs prior D‑PDLP; partner cases reported ~3.3× (Kinaxis, 135M variables) and >5× (PSR, 185M variables). A tutorial and source code are available on GitHub.

7.0

CODING · 1 SOURCE · NVIDIA Developer

NVIDIA documents TensorRT LLM adaptations for confidential Blackwell (B200) inference

NVIDIA published guidance and measured results showing how TensorRT LLM adapts to confidential computing on Blackwell B200 hardware, including CC-aware memory selection, async token readback, using the GPU %globaltimer for autotuning, and communication-path detection when NVLS multicast is unavailable. In their tests, CC-enabled runs retained about 96.1–98.2% of token throughput versus CC-off, with per-token latency (TPOT) within roughly 1.2–4.3% of baseline.

7.0