Bringing forth numerous enhancements and updates for an improved GenAI development experience. The post We’re excited to introduce the release of Intel® Gaudi® software version 1.17.0 appeared first on Intel Gaudi Developers.| Intel Gaudi Developers
MLCommons published results of its industry AI performance benchmark, MLPerf Training 3.0, in which both the Habana® Gaudi®2 deep learning accelerator and the 4th Gen Intel® Xeon® Scalable processor delivered impressive training results. The post New MLCommons Results Highlight Impressive Competitive AI Gains for Intel appeared first on Intel Gaudi Developers.| Intel Gaudi Developers
Bringing forth numerous enhancements and updates for an improved GenAI development experience. The post We’re excited to introduce the release of Intel® Gaudi® software version 1.16.0 appeared first on Intel Gaudi Developers.| Intel Gaudi Developers
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
Bringing forth numerous enhancements and updates for an improved user experience.| Intel Gaudi Developers
Learn how to execute scalable model development with Fully sharded data parallel (FSDP) training using PyTorch and Intel Gaudi Accelerators| Intel Gaudi Developers
We are excited to see Meta release Llama 2, to help further democratize access to LLMs. Making such models more widely available will facilitate efforts across the AI community to benefit the world at large. The post Accelerate Llama 2 with Intel AI Hardware and Software Optimizations appeared first on Intel Gaudi Developers.| Intel Gaudi Developers
In the 1.10 release, we’ve upgraded versions of several libraries, including PyTorch 2.0.1, PyTorch Lightning 2.0.0 and TensorFlow 2.12.0. We have added support for EKS 1.25 and OpenShift 4.12| Intel Gaudi Developers
In training workloads, there may occur some scenarios in which graph re-compilations occur. This can create system latency and slow down the overall training process with multiple iterations of graph compilation.| Intel Gaudi Developers
In this article, you'll learn how to easily deploy multi-billion parameter language models on Habana Gaudi2 and get a view into the Hugging Face performance evaluation of Gaudi2 and A100 on BLOOMZ.| Intel Gaudi Developers
AWS and Habana collaborated to enable EFA Peer Direct support on the Gaudi-based AWS DL1 instances, offering users significant improvement in multi-instance model training performance.| Intel Gaudi Developers
AI is becoming increasingly important for retail use cases. It can provide retailers with advanced capabilities to personalize customer experiences, optimize operations, and increase sales.| Deep Learning and AI Processor Chip Manufacturer
In this article, you will learn how to use Habana® Gaudi®2 to accelerate model training and inference, and train bigger models with 🤗 Optimum Habana.| Intel Gaudi Developers
With Habana’s SynapseAI 1.8.0 release support of DeepSpeed Inference, users can run inference on large language models, including BLOOM 176B.| Habana Developers
Our blog today features a Riken white paper, initially prepared and published by the Intel Japan team in collaboration with Kei Taneishi, research scientist with Riken’s Institute of Physical and Chemical Research.| Deep Learning and AI Processor Chip Manufacturer
We have upgraded versions of several libraries with SynapseAI 1.8.0, including PyTorch 1.13.1, PyTorch Lightning 1.8.6 and TensorFlow 2.11.0 & 2.8.4.| Intel Gaudi Developers
In this paper we’ll show how Transfer Learning is an efficient way to train an existing model on a new and unique dataset with equivalent accuracy and significantly less training time.| Intel Gaudi Developers
In this post, we show you how to run Habana’s DeepSpeed enabled BERT1.5B model from our Model-References repository.| Habana Developers
Habana’s Gaudi2 delivers amazing deep learning performance and price advantage for both training as well as large-scale deployments, but to capture these advantages developers need easy, nimble software and the support of a robust AI ecosystem.| Deep Learning and AI Processor Chip Manufacturer
This tutorial provides example training scripts to demonstrate different DeepSpeed optimization technologies on HPU. This tutorial will focus on the memory optimization technologies, including Zero Redundancy Optimizer(ZeRO) and Activation Checkpointing.| Habana Developers
The SDSC Voyager supercomputer is an innovative AI system designed specifically for science and engineering research at scale.| Intel Gaudi Developers
In this post, we will learn how to run PyTorch stable diffusion inference on Habana Gaudi processor, expressly designed for the purpose of efficiently accelerating AI Deep Learning models.| Habana Developers
Sometimes we want to run the same model code using different type of AI accelerators. For example, this can be required if your development laptop has a GPU, but your training server is using Gaudi.| Habana Developers
The Habana® team is excited to be at re:Invent 2022, November 28 – December 1. Read blog to know more!| Deep Learning and AI Processor Chip Manufacturer
The Habana team is happy to announce the release of SynapseAI® version 1.7.0. A live demo of Stable Diffusion was presented by Pat Gelsinger in Intel Innovation in September and there has been a lot of interest from our users since then.| Habana Developers
Discover Habana's latest innovations in Multi-modal Models presented at this year's Supercomputing conference. Stay ahead of the game with the latest advancements in AI technology.| Deep Learning and AI Processor Chip Manufacturer
Habana Gaudi2 set a benchmark that contained an impressive number of submissions, with over 100 results from a wide array of industry suppliers check out now.| Deep Learning and AI Processor Chip Manufacturer
Fine tuning GPT2 with Hugging Face and Habana Gaudi. In this tutorial, we will demonstrate fine tuning a GPT2 model on Habana Gaudi AI processors using Hugging Face optimum-habana library with DeepSpeed.| Habana Developers
New Gaudi2 server solutions feature the Habana Gaudi2 deep learning processor which demonstrated leading deep learning time-to-train in the June 2022 MLPerf benchmark, Check out now.| Deep Learning and AI Processor Chip Manufacturer
Optimize your deep learning with data parallel processes on Intel Gaudi using DeepSpeed. Enhance efficiency in training with our expert insights.| Intel Gaudi Developers
Habana Collaborates with Red Hat to Make AI/Deep Learning More Accessible to Enterprise Customers through OpenShift Data Science| Deep Learning and AI Processor Chip Manufacturer