…bid_x = ct.bid(0) This small change improves wave scheduling, as blocks complete more uniformly across the GPU. Result in TFLOPS : A modest but consistent 1-3% gain, especially noticeable at…
…The manual path requires engineers to rewrite the model (adding KV cache logic, attention kernels, sharding, kernel fusion, and more) before running it through the same runtime. Graph capture and pattern matching…
…As a result, the computational time to process and analyze 42 TBs of data shrinks to less than four hours, while preserving the same precision of acquired data. To achieve this improvement…
…Grove integrates with advanced AI schedulers, like KAI scheduler, to ensure these constraints are enforced. Integration with the Kubernetes Inference Gateway A previous Dynamo release introduced a plugin that allows users to…
…NCCL Trace improvements Detailed visibility into operations within fused GPU kernels. Correlation across all events of one collective operation, properly linking API calls, runtime scheduling, and GPU operations even across different threads…
…4 MIN READ Apr 09, 2026 Running Large-Scale GPU Workloads on Kubernetes with Slurm Slurm is an open source cluster management and job scheduling system for Linux. It manages job scheduling…
…Additional improvements to vLLM CUDA Graph support for MTP with FlashInfer, BF16 autotuning across FlashInfer MoE kernels, TinyGEMM and cuBLAS BF16 paths. Scaling up: The cluster assistant in NVIDIA Sync For developers…
…4 MIN READ Apr 09, 2026 Running Large-Scale GPU Workloads on Kubernetes with Slurm Slurm is an open source cluster management and job scheduling system for Linux. It manages job scheduling…