Intel presented the Arc Pro B70 GPU at MPTS2026 as a professional GPU for AI-assisted media creation and teaching labs. The article highlights 32GB GDDR6 memory, second-gen Xe² architecture, 32 Xe cores, XMX acceleration, and up to 367 TOPS INT8 performance. Lenovo ThinkStation workstations and GUNNIR’s Arc Pro B70 TF 32G are positioned as ecosystem solutions for local AIGC, rendering, virtual production, and data-sensitive education deployments.
### Background and Challenge Large language models (LLMs) frequently encounter "hallucinations" or calculation errors when handling complex mathematical…
Visual Language Models (VLMs) combine computer vision with natural language processing, enabling complex tasks such as image captioning and visual question…
As large language models (LLMs) and vision language models (VLMs) continue to scale up, running these models on limited hardware resources — such as…
As enterprise demand for Retrieval-Augmented Generation (RAG) technology surges, how to maintain high performance while controlling hardware costs has become…
When building Retrieval-Augmented Generation (RAG) systems, converting large volumes of text into embeddings (vectors) is an indispensable and computationally…
In the era of booming generative AI, fine-tuning large image generation models like Stable Diffusion has generally been considered the exclusive domain of…
In the current boom of generative AI, image generation models like Stable Diffusion have become widely popular thanks to their remarkable capabilities…
As Transformer models become increasingly prevalent in natural language processing (NLP) and computer vision (CV), efficiently deploying these large models in…
This blog post introduces a collaboration between Hugging Face and Intel's Habana Labs, aimed at simplifying the process of training large Transformer models…
While GPUs dominate deep learning training today, a collaboration between Intel and Hugging Face demonstrates that through software and hardware optimization…