While the cutting edge of Artificial Intelligence (AI) often demands top-tier, and correspondingly top-dollar, hardware, a significant and rapidly expanding community of innovators is exploring the ...

Why it matters: Not for the first time, Intel has emphasized that despite rumors to the contrary, its Arc desktop graphics cards will not be killed off as the company shifts its graphics priorities.

As reporters at the Lexington Herald-Leader, we first started hearing troubling stories in 2023 from former clients and staff of Addiction Recovery Care, once Kentucky’s largest residential addiction ...

Intel’s Arc Pro B70 GPU is the only model to feature the chipmaker’s “Big Battlemage” BMG-G31 silicon, which is never used for its gaming lineup. The question, naturally, is just how powerful is this ...

Early, data-dense benchmarks and performance data for the Intel Arc Pro B70 (Xe2 / Battlemage, 32 GB GDDR6 ECC, $949). Both single-card and dual-card (2× B70, 64 GB total) configurations, tested on ...

A new teardown of Intel’s Arc Pro B70 gives an early look at the design behind its Battlemage workstation GPU, and while the teardown stops short of exposing the silicon itself, it still reveals key ...

Ubuntu Server 24.04 LTS install. For the Windows installer, see arc-pro-b70-inference-setup-windows. Automated setup script for running LLM inference on Intel Arc Pro B70 GPUs with llama.cpp SYCL — ...

Megan is a Software Writer at XDA Developers who has been writing about consumer technology since 2016. With a postgraduate degree in New Media journalism, she has always been passionate about diving ...

The Intel Arc Pro B70 is a professional-grade GPU designed to meet the needs of AI professionals and computational workloads, offering a balance between affordability and performance. With 32 GB of ...

As an Amazon Associate, we earn from qualifying purchases. TweakTown may also earn commissions from Newegg and other affiliate partners at no extra cost to you. TL;DR: The Intel Arc Pro B70, powered ...

Frontier AI models require enormous quantities of memory and computing power, so they can only be run in massive data centers with high-powered AI accelerators. However, not every AI workload requires ...