Unreal Engine 3D Creation Platform
…Unreal Engine's Neural Network Engine with NVIDIA TensorRT for RTX The NVIDIA TensorRT™ for RTX plugin is a runtime for Unreal Engine’s Neural Network Engine (NNE). TensorRT for RTX inference…
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Building for the Rising Complexity of Agentic Systems with Extreme Co-Design | NVIDIA Technical Blog
…The NVIDIA Vera Rubin platform employs extreme co-design across multiple specialized chips (NVL72, Vera CPU, Groq 3 LPX, NVLink 6, ConnectX-9, BlueField-4, Spectrum-X) and software optimizations (Dynamo, NVFP4…
Build AI-Powered Games with NVIDIA DLSS 4.5, RTX, and Unreal Engine 5 | NVIDIA Technical Blog
…A new TensorRT for RTX plugin speeds up AI tasks in Unreal Engine's Neural Network Engine, making AI features in games run faster and smoother. NVIDIA Kimodo helps create realistic 3D…
Inside NVIDIA Groq 3 LPX: The Low-Latency Inference Accelerator for the NVIDIA Vera Rubin Platform | NVIDIA Technical Blog
…Stop optimizing for one headline metric and start optimizing for a range of real-world operating points. Learn more Dive deeper into the architecture behind NVIDIA Groq 3 LPX and Vera Rubin…
Deploying Disaggregated LLM Inference Workloads on Kubernetes | NVIDIA Technical Blog
…Scaling disaggregated inference pipelines involves per-role and per-tensor-parallel-group scaling, with application-level autoscalers like NVIDIA Dynamo and llm-ds workload variant autoscaler maintaining optimal ratios across roles based…
DeepStream SDK
…It ships with 40+ hardware-accelerated plug-ins and 30+ sample applications and extensions to optimize pre/post processing, inference, multi-camera tracking, message brokers, and more. DeepStream coding agents automatically generate…
DynoSim: Simulating the Pareto Frontier | NVIDIA Technical Blog
…Optimization and discovery with DynoSim Once DynoSim can run a workload through composed components, replay becomes a scoring function for both optimization and discovery: propose a layout or policy, run the workload…
NVIDIA Platform Delivers Lowest Token Cost Enabled by Extreme Co-Design | NVIDIA Technical Blog
…Substantial performance improvements were realized through continuous co-optimization of hardware and open-source software, notably with advancements in NVIDIA TensorRT-LLM and Dynamo frameworks; techniques such as kernel fusion, optimized attention…
Federated Learning Without the Refactoring Overhead Using NVIDIA FLARE | NVIDIA Technical Blog
…images, labels = batch[0].to(device), batch[1].to(device) optimizer.zero_grad() predictions = model(images) cost = loss(predictions, labels) cost.backward() optimizer.step() running_loss += cost.cpu().detach().numpy() / batch_size…
Stream High-Fidelity Spatial Computing Content to Any Device with NVIDIA CloudXR 6.0 | NVIDIA Technical Blog
…This approach is resource-heavy and often pushes the limits of network bandwidth and client-side processing. Dynamic foveated streaming changes the paradigm by optimizing content based on approximately where a user…