…This feature addresses the limitations of fixed-field records by providing significant memory efficiency through custom field selection tailored to application-specific profiling needs. Key benefits include optimized memory usage by eliminating…
…is a library that enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools…
…The same CPU tool-call baseline was then applied across all systems tested. Keeps the test-set private to prevent benchmark-targeted optimization. AA-AgentPerf testing and measurement methodology The AA-AgentPerf…
…The dots ( .^ , .- , ./ ) are standard Julia broadcasting syntax, showing the operation is applied element-wise. The kernel reads like regular Julia array code. The closer cuTile.jl kernels are to ordinary Julia, the…
…8 MIN READ Apr 22, 2026 Scaling the AI-Ready Data Center with NVIDIA RTX PRO 4500 Blackwell Server Edition and NVIDIA vGPU 20 AI integration is redefining mainstream enterprise applications, from…
…8 MIN READ Apr 22, 2026 Scaling the AI-Ready Data Center with NVIDIA RTX PRO 4500 Blackwell Server Edition and NVIDIA vGPU 20 AI integration is redefining mainstream enterprise applications, from…
…NVFP4 precision The same NVFP4 checkpoint runs on NVIDIA Hopper, NVIDIA Blackwell, and Ampere GPUs. Developers can use one checkpoint across all NVIDIA GPU architectures thanks to specialized NVFP4 quantization kernels. NVFP4…
…The combination of these two changes applied to both range decoders produced a ~20% speedup of this kernel. Figure 7 shows the memory charts of Nsight Compute. Visually, it confirms that neither…
…TensorRT for RTX is only compatible with NVIDIA RTX GPUs, from the Turing generation (compute capability 7.5) up to the NVIDIA Blackwell generation (compute capability 10.0). Unreal Engine neural network…
…https://integrate.api.nvidia.com/v1/chat/completions" headers = { "Authorization": "Bearer $NVIDIA_API_KEY", "Accept": "application/json", } payload = { "messages": [ { "role": "user", "content": "" } ], "model": "moonshotai/kimi-k2.5", "chat_template_kwargs": { "thinking": True…