Habana this week at re:Invent ‘22
The Habana® team is excited to be at re:Invent 2022, November 28 – December 1. We’re proud that Amazon EC2 DL1 instances featuring Habana Labs Gaudi deep learning accelerators are providing an […]
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The Habana® team is excited to be at re:Invent 2022, November 28 – December 1. We’re proud that Amazon EC2 DL1 instances featuring Habana Labs Gaudi deep learning accelerators are providing an […]
Read moreThe Habana® team is excited to be in Dallas at SuperComputing 2022. We look forward to sharing the latest performance advances for Gaudi®2, expanded software support and partner solutions from Supermicro, Inspur […]
Read moreToday MLCommons® published industry results for their AI training v2.1 benchmark that contained an impressive number of submissions, with over 100 results from a wide array of industry suppliers, with roughly 90% […]
Read moreGaudi and Gaudi2-based Servers Deliver Flexibility with Industry-standard Interoperability State-of-the-art deep learning applications require multiple processors in systems with multiple inter-card links running at high speed and with ample bandwidth. To provide […]
Read moreOne of the key challenges in Large Language Model (LLM) training is reducing the memory requirements needed for training without sacrificing compute/communication efficiency and model accuracy. DeepSpeed [2] is a popular deep learning software […]
Read moreAI is transforming enterprises with valuable business insights, increased operational efficiencies and enhanced user experiences with innovative applications that can fuel growth. However, enterprise customers are challenged by the daily demands of […]
Read moreThe Habana team is excited to share with you our deep learning technologies and invite you to see our demos featured at the Intel Innovation 2022 conference happening today and tomorrow at […]
Read moreIn this post, we will learn how to run PyTorch V-diffusion inference on Habana Gaudi processor, expressly designed for the purpose of efficiently accelerating AI Deep Learning models. Art Generation with V-diffusion […]
Read moreIn this post, we will learn how to migrate a TensorFlow EfficientNet model from running initially on a CPU to a Habana Gaudi Training processor, expressly designed for the purpose of efficiently […]
Read moreThe Habana team is happy to announce the release of SynapseAI® version 1.6.0. In this release, we introduce preliminary inference capabilities on Gaudi. For further details, refer to the Inference on Gaudi guide. […]
Read moreMuch has happened at Habana since our last MLPerf submission in November 2021. We launched Gaudi®2, our second-generation deep learning training processor, and Greco™, our second-generation inference processor. We expanded our software […]
Read moreSynapseAI 1.5 brings many improvements, both in usability and in Habana ecosystem support. For PyTorch we removed the need for weight permutation, as well as the need to explicitly call load_habana_module. See […]
Read moreThe Habana team is excited to have launched our next-gen 7nm training and inference processors, Gaudi2 for training and Greco for inference, this morning on stage at Intel Vision 22. Sandra Rivera, […]
Read moreWe are excited to announce the release of SynapseAI 1.4.1. This is the first release that enables SynapseAI training on Habana Gaudi®2 AI processors. With this release we have enabled TensorFlow Resnet50 […]
Read moreAs demand for deep learning applications grows among enterprises and startups, so does the need for high-performance, yet cost-effective cloud solutions for training DL models. With the Amazon EC2 DL1 Instance, users […]
Read morePowered by deep learning, transformer models deliver state-of-the-art performance on a wide range of machine learning tasks, such as natural language processing, computer vision, speech, and more. However, training them at scale […]
Read moreThe Habana(R) Labs team is pleased to augment software support for the Gaudi platform with the release of SynapseAI® version 1.4.0. In this release, we have made several version updates. We now support […]
Read moreThe Habana team is pleased to be collaborating with Grid.ai to make it easier and quicker for developers to train on Gaudi® processors with PyTorch Lightning without any code changes. Grid.ai and […]
Read moreEarlier this year, Machine Learning Algorithm Developer, Chaim Rand, evaluated the Amazon EC2 DL1 instance based on the Habana Gaudi processor and demonstrated some of its unique properties. This was a sequel […]
Read moreThe Habana® Labs team is happy to announce the release of SynapseAI® version 1.3.0. In this release, we have made several version updates. We now support PyTorch 1.10.1 (previously 1.10.0), PyTorch Lightning […]
Read moreThe Habana® Labs team is happy to announce the release of SynapseAI® version 1.2.0. In addition to many improvements and bug fixes, the new version includes the following new capabilities. SynapseAI software […]
Read moreHabana Gaudi’s compute efficiency and integration bring new levels of price-performance to both cloud and on-premise data-center customers. Cnvrg.io MetaCloud is transforming the way enterprises manage, scale and accelerate AI and data […]
Read moreJoin Us December 8 & 9 at DDN’s Booth #229, Javits Center At The AI Summit/New York, Habana, in collaboration with the DDN team, will feature our turnkey AI solution, the combination […]
Read moreThe MLPerf community aims to design fair and useful benchmarks that provide “consistent measurements of accuracy, speed, and efficiency” for machine learning solutions. To that end AI leaders from academia, research labs, […]
Read moreA New Hardware and Software Stack for Deep Learning Introduction Demand for high-performance deep learning (DL) training is accelerating with the growing number of applications and services based on image and gesture […]
Read moreThe numbers behind “up to 40% better price performance” Today, AWS announced the availability of the Amazon EC2 DL1.24xlarge instances, accelerated by Habana Gaudi AI processors. This is the first AI training […]
Read moreWe are happy to announce the release of SynapseAI version 1.1.0. In addition to many improvements and bug fixes, the new version includes the following new capabilities: We introduced support for PyTorch […]
Read moreWe are happy to announce the release of SynapseAI version 1.0.0. In addition to many improvements and bug fixes, the new version includes the following. We added support for TensorFlow version 2.5.0. […]
Read moreAt Habana, we’re laser-focused on providing our customers, data scientists, developers, researchers and IT and systems administrators with the software, tools and support you need to put the price-performance, usability and scalability […]
Read moreby Eitan Medina, Santa Clara, CA, United States Today, in the re:Invent CEO Keynote, Amazon Web Services announced EC2 instances that will leverage up to 8 Gaudi accelerators and deliver up to […]
Read moreThe Habana Labs team looks forward to meeting up with you—researchers, academics, recruitment prospects, and those who are bringing AI to life in the datacenter and cloud—at this year’s Neural Information Processing […]
Read moreToday the MLPerf organization announced performance results for Inference processors and systems for the first time. Habana’s Goya has been in production since December 2018 and is reported in the Available category. […]
Read moreHere’s our recent Medium blog that addresses Habana’s strategy behind its use of software and hardware standards to improve data center performance and efficiency. In a field with fast-paced development such as […]
Read moreThe Habana Labs team is excited to join The Linley Group at its upcoming fall conference, October 23 and 24 in Santa Clara. There we will show our GOYA Inference and GAUDI […]
Read moreThis week marked Habana’s second year of showing working hardware and demonstrating leading AI performance at the AI Hardware Summit. At last year’s summit, Habana stepped out of stealth to introduce the […]
Read moreThe Habana team was thrilled with the turn-out of so many AI business leaders and academic gurus at this year’s Hot Chips. Thank you to those of you who attended and provided […]
Read moreGoya outperforms T4 GPU on key NLP inference benchmark BERT (Bidirectional Encoder Representations from Transformers) is a language representation model based on the Transformer neural architecture, introduced by Google in 2018. This […]
Read moreHabana features GAUDI Training and GOYA Inference Processors at this year’s conference At Habana, we have fond memories of AI Hardware Summit 2018—it was where our company came out of stealth to […]
Read moreCheck out CRN’s assessment of the top 10 coolest AI startups. Here’s what they had to say about Habana. These startups are tackling AI and machine learning in a variety of ways, […]
Read moreWith the launch of the GAUDI processor, Habana has brought to the world of AI computing two critically important sets of advantages. GAUDI delivers extraordinary AI training throughput that scales at near-perfectly […]
Read moreWhile the Habana GOYA™ AI Inference processor is relatively new to AI processing, having been introduced only in September 2018, its performance is redefining what customers can expect from a processor that’s […]
Read moreJoin Habana Labs on Monday, August 19 at Hot Chips 2019: A Symposium on High Performance Chips. The Hot Chips conference, which is sponsored by the IEEE Technical Committee on Microprocessors, focuses […]
Read moreWhen: June 18 – 21Where: Beijing International Hotel Convention Center, Booth #206 What: Unmatched AI Performance and Versatility with GAUDI and GOYA Habana Labs was pleased to demonstrate its newly debuted GAUDI […]
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