Tag

#hardware-acceleration

Every item tagged hardware-acceleration, newest first.

10 items

🚀 Accelerating LLM Inference with TGI on Intel Gaudi

Hugging Face and Intel collaborated to optimize Text Generation Inference (TGI) on Intel Gaudi hardware, resulting in faster LLM inference. The optimized TGI backend is now available for use. This acceleration enables builders to deploy LLMs more efficiently on Intel Gaudi. The performance gains make it feasible to run LLMs at scale.

Key takeaways

TGI optimized for Intel Gaudi hardware
Faster LLM inference on Intel Gaudi
Enables efficient large-scale LLM deployment

HHugging Face Blog#inference-optimization #hardware-acceleration #intel-gaudi

otherJul 9

Google Cloud TPUs made available to Hugging Face users

Google Cloud has made its Tensor Processing Units (TPUs) available to Hugging Face users through a new integration. This allows Hugging Face customers to deploy and run models on TPUs, leveraging Google's custom hardware for faster inference. Builders can now access TPUs through Hugging Face's Inference Endpoints and Spaces, enabling them to optimize model performance and reduce costs. The integration aims to provide a seamless experience for deploying AI models at scale.

Key takeaways

TPUs now available to Hugging Face users for model deployment.
Integration enables faster inference and potential cost savings.
Hugging Face provides access through Inference Endpoints and Spaces.

HHugging Face Blog#cloud-ai #model-deployment #hardware-acceleration

modelsJul 3

Accelerating Protein Language Model ProtST on Intel Gaudi 2

Intel and Hugging Face collaborated to optimize ProtST, a protein language model, for Intel's Gaudi 2 AI accelerator. The work resulted in a 2x performance boost for ProtST inference. This acceleration enables faster and more cost-effective protein sequence analysis for builders working in bioinformatics and related fields.

Key takeaways

ProtST optimized for Intel Gaudi 2 sees 2x performance boost.
Faster inference enables cost-effective protein sequence analysis.
Collaboration between Intel and Hugging Face brings optimized performance to protein language models.

HHugging Face Blog#protein-llm #hardware-acceleration #bioinformatics

otherMay 9

Building Cost-Efficient Enterprise RAG applications with Intel Gaudi 2 and Intel Xeon

Intel Gaudi 2 and Intel Xeon can be used to build cost-efficient RAG applications. The hardware enables lower latency and higher throughput for inference workloads. You can deploy RAG applications with optimized performance and cost. This setup targets builders who want to reduce infrastructure costs for enterprise AI deployments.

Key takeaways

Intel Gaudi 2 and Intel Xeon enable cost-efficient RAG applications.
Lower latency and higher throughput for inference workloads.
Optimized performance and cost for enterprise AI deployments.

HHugging Face Blog#enterprise-ai #hardware-acceleration #cost-optimization

modelsMar 28

Fast Inference on Large Language Models: BLOOMZ on Habana Gaudi2 Accelerator

The BLOOMZ model was deployed on the Habana Gaudi2 accelerator, achieving 3.8x faster inference than on a V100 GPU. This deployment demonstrates the potential for hardware acceleration to improve performance in large language models. You can access BLOOMZ on the Hugging Face platform. The Habana Gaudi2 accelerator is designed to optimize performance for AI workloads.

Key takeaways

BLOOMZ inference 3.8x faster on Habana Gaudi2 vs V100 GPU.
Habana Gaudi2 optimized for AI workloads.
BLOOMZ available on Hugging Face platform.

HHugging Face Blog#hardware-acceleration #large-language-models #ai-performance

modelsAug 18

Deep Dive: Vision Transformers On Hugging Face Optimum Graphcore

Hugging Face Optimum Graphcore provides optimized Vision Transformers for deployment on Graphcore's IPUs. This enables efficient inference of transformer-based models on specialized hardware. Builders can deploy Vision Transformers with optimized performance. The collaboration aims to make transformer-based models more accessible.

Key takeaways

Optimized Vision Transformers for Graphcore IPUs.
Enables efficient inference on specialized hardware.
Collaboration between Hugging Face and Graphcore.

HHugging Face Blog#vision-transformers #hugging-face #hardware-acceleration

otherJun 15

Intel and Hugging Face Partner to Democratize Machine Learning Hardware Acceleration

Intel and Hugging Face have partnered to make machine learning hardware acceleration more accessible. The collaboration aims to optimize Hugging Face Transformers for Intel hardware, enabling faster and more efficient model deployment. This partnership can help builders reduce costs and improve performance. You can expect more affordable and scalable ML solutions.

Key takeaways

Partnership optimizes Hugging Face Transformers for Intel hardware.
Goal is to democratize access to ML hardware acceleration.
Expected outcome: faster, more efficient, and cost-effective model deployment.

HHugging Face Blog#hardware-acceleration #machine-learning #partnerships

toolsMay 10

Accelerated Inference with Optimum and Transformers Pipelines

Hugging Face introduced Optimum, a library for accelerated inference with Transformers. Optimum provides optimized implementations of popular models like BERT and RoBERTa. You can use Optimum to deploy models more efficiently. Optimum supports various hardware platforms.

Key takeaways

Optimum library accelerates Transformers inference.
Optimized for BERT, RoBERTa, and other popular models.
Supports multiple hardware platforms.

HHugging Face Blog#transformers #inference-optimization #hardware-acceleration

modelsApr 26

Getting Started with Transformers on Habana Gaudi

Habana Gaudi is a hardware accelerator designed for efficient transformer computations. The Hugging Face Transformers library now supports Gaudi, enabling users to deploy and optimize transformer models on this hardware. Builders can leverage this integration to accelerate their transformer-based workloads. Gaudi's support is part of Hugging Face's effort to make transformer models more accessible and efficient.

Key takeaways

Hugging Face Transformers library supports Habana Gaudi.
Gaudi is designed for efficient transformer computations.
Integration enables optimization of transformer models on Gaudi hardware.

HHugging Face Blog#transformers #hardware-acceleration #hugging-face

otherApr 12

Habana Labs and Hugging Face Partner to Accelerate Transformer Model Training

Habana Labs and Hugging Face have partnered to optimize transformer model training on Habana's hardware. The collaboration aims to improve training performance and reduce costs for builders. This partnership can help you accelerate your model development and deployment. Habana's hardware is designed for efficient large-scale model training.

Key takeaways

Partnership focuses on transformer model training optimization.
Goal is to improve training performance and reduce costs.
Habana's hardware is tailored for large-scale model training.

HHugging Face Blog#model-training #hardware-acceleration #partnerships