On a single instance of n2-highcpu-64 on GCP, the whole pipeline finishes in just 459 seconds (7.65 mins). This is nearly 40 times faster than the 5-hour CPU baseline that we started with. This is also nearly 1.5 times faster than Nvidia A100 performance.
-
-
Articles récents
- Accelerating Llama 3.3-70B Inference on Intel® Gaudi® 2 via Hugging Face Text Generation Inference
- Exploring Vision-Language Models (VLMs) with Text Generation Inference on Intel® Data Center GPU Max
- A Journey Towards Approaching “Why” Question-Answering for Video
- From Infrastructure to Impact: How Dell is Scaling AI
- Intel Labs’ Kid Space Conversational AI Facilitates Collaborative Problem-Solving Among Students
-
Neural networks news
Intel NN News
- Accelerating Llama 3.3-70B Inference on Intel® Gaudi® 2 via Hugging Face Text Generation Inference
Learn how to deploy Llama 3.3-70B on Intel® Gaudi® 2 AI accelerators using Hugging Face TGI, with […]
- Exploring Vision-Language Models (VLMs) with Text Generation Inference on Intel® Data Center GPU Max
Supercharge VLM deployment with TGI on Intel XPUs. This guide shows how to set up, optimize, and […]
- Evaluating Trustworthiness of Explanations in Agentic AI Systems
Intel Labs research published at the ACM CHI 2025 Human-Centered Explainable AI Workshop found that […]
- Accelerating Llama 3.3-70B Inference on Intel® Gaudi® 2 via Hugging Face Text Generation Inference
-