…Nsight Compute highlighted previously noncritical microarchitectural constraints. The following algorithmic issues were highlighted: typical low-level inefficiencies such as low streaming SM occupancy, warp divergence, noncoalesced memory accesses, and register pressure. These…
…Zero-cost interoperability: Data-movement-free conversion with PyTorch, SciPy, and CuPy. Custom formats: Define novel sparsity schemes. Polymorphic operations: Sparsity-agnostic functions automatically use optimized kernels or generate custom sparse code…
…Quantization Cost : Just like activation functions, quantizing the tensors from high precision to lower precision results in memory bound kernels which keep the Tensor Cores idle. We address these challenges in the…
Agentic AI / Generative AI Run Autonomous, Self-Evolving Agents More Safely with NVIDIA OpenShell The new open source runtime lets developers benefit from claws’ productivity while maintaining enterprise privacy and security. Mar…
…as battery materials, catalysts, organic light-emitting diodes (OLEDs), and beauty products. Discovery in these areas is historically slow and costly due to the trial-and-error nature of experimentation. Traditional computational…
…production-ready RAG applications connected to AI data platforms . Nemotron holds top spots on the visual document retrieval leaderboard . Documentation Build world-class information retrieval pipelines with scalable data extraction and high…
…For example, you can assign a high-reasoning model to handle hypothesis generation while using a faster, more cost-effective model for the code agent without modifying the underlying source code. In…
…For high-resolution imaging of new phases in quantum materials, the computational cost of nonlinear fitting and 3D reconstruction previously relegated analysis to the post-experiment phase. A single experiment could require…
…This post shows you how to move from high-level model settings to concrete GEMM workloads, profile them with a microbenchmark, and estimate where lower precision will actually translate into speedups to…
…Deterministic, high-throughput inference performance : Sustains the high token decode rates required for fluid, conversational experiences, independent of cockpit workload variability. Rapid time to market through production-ready platforms : Leverages automotive-grade…