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You don't need an expensive GPU to run a local LLM that actually works
Sometimes smaller is better.
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Intel's $949 GPU has 32GB of VRAM for local AI, but the software is why Nvidia keeps winning
Intel just launched the Arc Pro B70, and on paper, it looks like a local AI dream. You get 32GB of GDDR6 memory, 256 Xe Matrix Extensions engines, and PCIe 5.0 support, all for $949. That's the same ...
Intel (NASDAQ: INTC) just announced a new GPU. It's not for gaming, and it's not destined for data centers. Instead, the Intel Arc Pro B70 is tailor-made for running AI workloads on workstations ...
Intel has launched two new graphics cards aimed at professionals: the Arc Pro B70 and Arc Pro B65. These are not gaming cards. They are built for local AI inferencing, software development, and ...
The new driver targets systems with built-in Arc Pro Graphics, enabling, for example, a 64GB host system to allocate 59.5GB ...
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 ...
Do we even need Anthropic or OpenAI's top models, or can we get away with a smaller local model? Sure, it might be slower, ...
Testing small LLMs in a VMware Workstation VM on an Intel-based laptop reveals performance speeds orders of magnitude faster than on a Raspberry Pi 5, demonstrating that local AI limitations are ...
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