Recent posts

Nov 13, 2025

Achieve CUTLASS C++ Performance with Python APIs Using CuTe DSL

CuTe, a core component of CUTLASS 3.x, provides a unified algebra for describing data layouts and thread mappings, and abstracts complex memory access patterns...

9 MIN READ

Nov 13, 2025

How to Get Started with Neural Shading for Your Game or Application

For the past 25 years, real-time rendering has been driven by continuous hardware improvements. The goal has always been to create the highest fidelity image...

21 MIN READ

Nov 12, 2025

NVIDIA Blackwell Architecture Sweeps MLPerf Training v5.1 Benchmarks

The NVIDIA Blackwell architecture powered the fastest time to train across every MLPerf Training v5.1 benchmark, marking a clean sweep in the latest round of...

10 MIN READ

Nov 12, 2025

Just Released: Warp 1.10 Expands JAX Interoperability and Performance

Build high-performance GPU simulations using Warp, with enhancements across JAX, Tile programming, and Arm support.

1 MIN READ

Nov 10, 2025

Fusing Communication and Compute with New Device API and Copy Engine Collectives in NVIDIA NCCL 2.28

The latest release of the NVIDIA Collective Communications Library (NCCL) introduces a groundbreaking fusion of communication and computation for higher...

9 MIN READ

Nov 10, 2025

Upcoming Livestream: Build Visual AI Agents with NVIDIA Cosmos Reason and Metropolis

On November 18, learn how to fine-tune the NVIDIA Cosmos Reason VLM with your own data to create visual AI agents.

1 MIN READ

Nov 10, 2025

Building Scalable and Fault-Tolerant NCCL Applications

The NVIDIA Collective Communications Library (NCCL) provides communication APIs for low-latency and high-bandwidth collectives, enabling AI workloads to scale...

12 MIN READ

Nov 10, 2025

Training XGBoost Models with GPU-Accelerated Polars DataFrames

One of the many strengths of the PyData ecosystem is interoperability, which enables seamlessly moving data between libraries that specialize in exploratory...

7 MIN READ

Nov 10, 2025

Gen AI Super-Resolution Accelerates Weather Prediction with Scalable, Low-Compute Models

As AI weather and climate prediction models rapidly gain adoption, the NVIDIA Earth-2 platform provides libraries and tools for accelerating solutions using a...

12 MIN READ

Nov 10, 2025

How to Achieve 4x Faster Inference for Math Problem Solving

Large language models can solve challenging math problems. However, making them work efficiently at scale requires more than a strong checkpoint. You need the...

7 MIN READ

Nov 10, 2025

Enabling Multi-Node NVLink on Kubernetes for NVIDIA GB200 NVL72 and Beyond

The NVIDIA GB200 NVL72 pushes AI infrastructure to new limits, enabling breakthroughs in training large-language models and running scalable, low-latency...

13 MIN READ

Nov 10, 2025

Streamline Complex AI Inference on Kubernetes with NVIDIA Grove

Over the past few years, AI inference has evolved from single-model, single-pod deployments into complex, multicomponent systems. A model deployment may now...

10 MIN READ

Nov 07, 2025

Building an Interactive AI Agent for Lightning-Fast Machine Learning Tasks

Data scientists spend a lot of time cleaning and preparing large, unstructured datasets before analysis can begin, often requiring strong programming and...

8 MIN READ

Nov 07, 2025

Benchmarking LLMs on AI-Generated CUDA Code with ComputeEval 2025.2

Can AI coding assistants write efficient CUDA code? To help measure and improve their capabilities, we created ComputeEval, a robust, open source benchmark for...

2 MIN READ

Nov 06, 2025

Enhancing GPU-Accelerated Vector Search in Faiss with NVIDIA cuVS

As companies collect more unstructured data and increasingly use large language models (LLMs), they need faster and more scalable systems. Advanced tools for...

11 MIN READ

Nov 06, 2025

Accelerating Large-Scale Mixture-of-Experts Training in PyTorch

Training massive mixture-of-experts (MoE) models has long been the domain of a few advanced users with deep infrastructure and distributed-systems expertise....

7 MIN READ