All articles tagged with #local llms
A new comparison highlights the trade-offs between Apple's Mac Studio M5 Ultra and Nvidia's DGX Spark for local AI workloads. The Mac Studio offers a 4-hour setup time and superior token generation speeds, while the DGX Spark requires up to 96 hours for configuration but excels in large context processing and concurrent tasks. Pricing starts at $5,499 for the Mac and $9,449 for a two-node DGX bundle.
A Hackaday feature explains how a 16 GB NVIDIA Tesla V100 GPU in SXM2 form can be repurposed with a PCIe adapter to run local large language models much cheaper than current PCIe GPUs, by opening a consumer-motherboard path for enterprise hardware. While not the newest card and with higher idle power and older CUDA support, it can deliver competitive tokens-per-second compared with a RTX 3060 12 GB for some workloads, making DIY AI hosting more accessible—at the cost of added cooling, setup steps, and the risk of price shifts as the market reacts.