Background

Can we make blockchain train neural networks?

Ray: A Distributed Framework for Emerging AI Applications


This lecture is recorded at AI Day, part of RISE SICS Software Week 2019, on 27 November 2018 at Kistamässan in Stockholm Sweden. Presented by RISE Research Institutes of Sweden. This and more talks…

Use Scala to train machine learning models inside Google Colaboratory through TensorFlow and ScalaPy!

This week at the GPU Technology Conference (GTC), fastdata.io is introducing FDIO Engine, the company’s GPU-native high performance computing software for real-time stream processing.

ROCm, the Radeon Open Ecosystem, is an open-source software foundation for GPU computing on Linux. ROCm supports TensorFlow and PyTorch using MIOpen, a library of highly optimized GPU routines for deep learning. In this talk, we describe how Apache Spark…

Uber's Advanced Technologies Group introduces Petastorm, an open source data access library enabling training and evaluation of deep learning models directly from multi-terabyte datasets in Apache Parquet format.

Titan RTX vs. 2080 Ti vs. 1080 Ti vs. Titan Xp vs. Titan V vs. Tesla V100.
For this post, Lambda engineers benchmarked the Titan RTX's deep learning
performance vs. other common GPUs. We measured the Titan RTX's single-GPU
training performance on ResNet50…

Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.

Windows 10 PRO vs. HOME. SINGLE LANGUAGE Gaming Benchmark

Resolution : 1080p
Graphic Preset : High

============ Hardware ============

- CPU - Intel i3-8100
- GPU - Zotac GTX 1050 ti
- RAM - Kingston 16GB DDR4 2400MHz (2x8)
- Mobo - Z370 Aorus Gaming…

The TensorFlow team has been on a journey to make the training, deployment, managing, and scaling of machine learning Machine Learning models as easy as possible. To that end we have now released TensorFlow 2.0. TensorFlow 2.0 provides a comprehensive ecosystem…

Frameworks like Spark and TensorFlow have commoditized cluster computing and training of neural networks. However, they leave precious performance on the table, especially when used together. Flare is a new back-end for Spark SQL that yields significant speedups…

GPU benchmarks for training State of the Art (SOTA) deep learning models. We measure each GPU's performance by batch capacity and more.

Open Neural Network Exchange (ONNX) is an open format built to represent machine learning models. It defines the building blocks of machine learning and deep learning models along with a common file format to enable AI developers to use models with a variety…

GPU system requirements to run DeepSeek-R1 and its distilled models effectively, along with recommendations for choosing the right hardware for your needs.