Advanced Technical

Black hole illustration with a dark central region surrounded by bright orange rings and curved bands of light against a black background.
Nov 13, 2026

Run GPU-Powered Black Hole Interferometry with NVIDIA cuPhoton

Imaging black holes is challenging because they are distant and appear tiny in the sky—for example, M87*’s observed ring spans just 42 microarcseconds. The...
13 MIN READ
Two generated images of a red fox beside a moss-covered fallen tree in an autumn forest.
Nov 06, 2026

Speed Up Image Generation with FLUX 3 Image Klein on NVIDIA Blackwell GPUs

When deploying diffusion models in design tools, image editors, and visual production workflows, developers must account for inference latency. Generating an...
15 MIN READ
Colorful matrix-like blocks transition into a lattice of spheres, illustrating computation for atomistic simulation.
Oct 29, 2026

Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials

Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure....
13 MIN READ
Decorative math image.
Oct 19, 2026

Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile

NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to...
15 MIN READ
A cube assembled from smaller dark blocks, with glowing cyan, pink, yellow, and green sections against a black background.
Oct 12, 2026

ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding

Hybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi-K3, and GLM-5.3-Flash are...
14 MIN READ
Oct 07, 2026

The Machines that Make the Machines

How we taught robots to assemble GB300 tester trays and what it taught us about robot learning, mechanical intelligence, and good old-fashioned engineering The...
27 MIN READ
Observatory dome beneath curved star trails in the night sky.
Oct 07, 2026

Faster Scientific Image Analysis with NVIDIA cuPhoton

Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can...
18 MIN READ
Jul 31, 2026

Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference

As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because...
14 MIN READ
Jul 09, 2026

A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale

Molecular dynamics (MD) simulations are among the most demanding workloads in computational science. Using them, researchers can observe atomic behavior in...
21 MIN READ
Decorative image.
Jun 25, 2026

Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support

Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines, the...
11 MIN READ
Jun 24, 2026

Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications

An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project...
15 MIN READ
Decorative image.
Jun 09, 2026

Model Quantization: Turn FP8 Checkpoints into High-Performance Inference Engines with NVIDIA TensorRT

This post is the third of a three-part series. See also Model Quantization: Concepts, Methods, and Why It Matters and Model Quantization: Post-Training...
10 MIN READ
Decorative image.
May 21, 2026

Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling

As AI models grow in scale and complexity, realizing the full performance of modern accelerated infrastructure depends as much on how workloads are placed as...
10 MIN READ
Decorative image.
Apr 22, 2026

Simplify Sparse Deep Learning with Universal Sparse Tensor in nvmath-python

In a previous post, we introduced the Universal Sparse Tensor (UST), enabling developers to decouple a tensor’s sparsity from its memory layout for greater...
11 MIN READ
Decorative image.
Apr 07, 2026

Running AI Workloads on Rack-Scale Supercomputers: From Hardware to Topology-Aware Scheduling

The NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72 systems, featuring NVIDIA Blackwell architecture, are rack-scale supercomputers. They’re designed with 18 tightly...
11 MIN READ
Apr 02, 2026

Achieving Single-Digit Microsecond Latency Inference for Capital Markets

In algorithmic trading, reducing response times to market events is crucial. To keep pace with high-speed electronic markets, latency-sensitive firms often use...
13 MIN READ