#gpu-acceleration

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#nvidia #machine-learning #programmatic-advertising #latency-reduction #connected-tv #ai-optimisation #webgpu
Marketing tech
fromExchangewire
1 week ago

PubMatic Delivers 5x Faster, Smarter Advertising Decisions With NVIDIA

PubMatic integrated NVIDIA GPUs and software to cut ad inference latency to ~1 ms, increase AI processing up to 5×, and recover lost ad revenue.
Web development
fromFigma
1 month ago

Figma Rendering: Powered by WebGPU | Figma Blog

Migrating Figma's rendering backend from WebGL to WebGPU required modernizing interfaces, eliminating global GPU state, and enabled better performance, GPU parallelism, and clearer error handling.
Artificial intelligence
fromZDNET
1 month ago

You can get Nvidia's CUDA on three popular enterprise Linux distros now - why it matters

CUDA toolkit is now natively packaged in Rocky Linux, SUSE Linux, and Ubuntu, simplifying deployment and accelerating AI development on Nvidia GPUs.
Artificial intelligence
fromFast Company
2 months ago

This startup claims it just outran Nvidia on its own turf

DataPelago's Nucleus dramatically accelerates data processing across hardware, outperforming Nvidia's cuDF and exposing significant software-driven GPU performance limitations.
Data science
fromTalkpython
2 months ago

Accelerating Python Data Science at NVIDIA

RAPIDS enables zero-code GPU acceleration for pandas, scikit-learn, NetworkX, and other Python data libraries, delivering large speedups and scalable GPU-native workflows.
fromInfoQ
4 months ago

GPULlama3.java Brings GPU-Accelerated LLM Inference to Pure Java

The TornadoVM programming guide demonstrates how developers can utilize hardware-agnostic APIs, enabling the same Java source code to run identically on various hardware accelerators.
Java
Data science
fromHackernoon
5 months ago

Supercharge ML: Your Guide to GPU-Accelerated cuML and XGBoost | HackerNoon

GPU acceleration can greatly enhance traditional machine learning workflows
Focus on cuML, XGBoost, and dimensionality reduction techniques for efficient data processing
Python
fromHackernoon
5 months ago

Achieve 100x Speedups in Graph Analytics Using Nx-cugraph | HackerNoon

Leveraging GPU acceleration can significantly improve performance in graph analytics.
nx-cugraph provides a solution for enhancing NetworkX workflows on larger datasets.
Artificial intelligence
fromInfoQ
5 months ago

Google Enhances LiteRT for Faster On-Device Inference

LiteRT simplifies on-device ML inference with enhanced GPU and NPU support for faster performance and lower power consumption.
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