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…For more information, see the vLLM guide . $ vllm serve MiniMaxAI/MiniMax-M2.7 \ --tensor-parallel-size 4 \ --tool-call-parser minimax_m2 \ --reasoning-parser minimax_m2_append_think \ --enable-auto-tool-choice…
…HPC-X OpenSHMEM The HPC-X OpenSHMEM programming library is a one-side communications library that supports a unique set of parallel programming features, including point-to-point and collective routines, synchronizations…
…From N to a single decoder Execution model redesign Algorithmic changes to decode multiple images simultaneously with a single decoder Improved parallelization Leveraging the new work dimension (images) next to existing parallelization…
…Scaling simulation to thousands of parallel environments to overcome the slow training times of CPU-bound tools Integrating multiple sensor modalities (vision, force, and proprioception) into synchronized, high-fidelity data streams Modeling…
…cuTile BASIC lets developers write tile-based GPU kernels in BASIC with minimal syntax, handling parallelism and data partitioning automatically, as shown with simple vector addition and matrix multiplication examples. Running cuTile…
…NVPL ScaLAPACK A LAPACK extension designed for distributed memory parallel computing environments. Resources NVPL Documentation NVPL Samples (GitHub) Unlock the Power of NVIDIA Grace and NVIDIA Hopper™ Architectures with Foundational HPC Software…
…MuJoCo 3.5 (MJWarp) builds on the stability and accuracy the robotics community already trusts in MuJoCo, developed by Google DeepMind, now extended with GPU-scale throughput for thousands of parallel training…
…Further details found in the NeMo distillation notebook . The script for this process is provided below, showing how to distill using a single-node eight-GPU tensor parallel setup. In practice, we…
…Now available on AWS Cloud, AI RSG provides scalable, on-demand access to high-fidelity RAN testing—for teams to parallelize experiments, automate benchmarking, and accelerate AI-RAN validation cycles. Calibration is…
…GPU performance meets productivity CUB offers highly optimized CUDA kernels for common parallel operations, including those featured in the GPU MODE competition. These kernels are architecturally tuned and widely considered near speed…