…to run high-performance simulations on GPUs, giving roboticists CUDA-level speed without low-level coding—cutting simulations from days to minutes. Extensible Highly extensible, enabling rich multiphysics simulation via pluggable custom…
…extreme codesign . Designing across multiple chips and a mountain of software cohesively enables large generational leaps in AI factory performance and efficiency. Lower-precision AI formats are key to improving compute performance…
…Numba’s target for CUDA GPU programming by directly compiling a restricted subset of Python code into CUDA kernels and device functions following the CUDA execution model nvmath-python: Pythonic access to…
…Cloud providers such as Microsoft, CoreWeave, and Oracle Cloud Infrastructure are deploying NVIDIA GB300 NVL72 systems at scale for low-latency and long-context use cases, such as agentic coding and coding…
Coding agents are starting to write production code at scale. Stripe’s agents generate 1,300+ PRs per week. Ramp attributes 30% of merged PRs to agents. Spotify reports 650+ agent-generated…
…Adds rules to show potential performance improvement estimates for prioritization. Workflow improvements and bug fixes. View full release notes 2023.1 Update 1 - 4/18/2023 Support for the CUDA Toolkit 12…
…To get started with running your agent from your terminal, cd into the code directory that has the Python file containing your code for the agent. Once there, start your Agent API…
…Optimizations such as __restrict__ pointer qualifiers, 16-byte alignment assumptions, and masked load/store operations improve performance and memory efficiency; tile kernels are launched with a single thread per block, letting the…
…However, for highly domain-specific applications, such as code completion models like StarCoder2 , using a code dataset is recommended to estimate calibration statistics accurately. The final step of the calibration step is…
…While the Enterprise RAG Blueprint provides many configurable options, this post highlights the following five key configurations that most directly improve accuracy and contextual relevance across enterprise use cases: Baseline multimodal RAG…