DGX Spark

You need an NVIDIA DGX Spark running local models. The one time purchasing cost is less than your estimated monthly subscription cost, and the device should be good for at least 3 years.

Best a Mac mini can do is 64GB. They can only use a Pro M SOC. To get a 128GB M4 Max SOC you need at least a Mac Studio (or a MacBook Pro). At that point it is hard to say no to the Nvidia DGX Spark @ $5k. That said wait until March 4th to see what new goodies Apple drops. I read rumors there could

Have you looked at the NVIDIA DGX Spark? 128GB VRAM, GB10 GPU complete system for around $4000 and zero supply issues. I have one and its great.

We’ve ordered two units for our company to run larger local models and to test our MCP server as well as our RAG implementations for our software. I can share more details once they arrive. As already mentioned, it’s nearly impossible to find anything this competitive for AI at this price point in s

STOP! Don’t do anything until you’ve looked at the DGX Spark PCs that NVIDIA is bringing out and others are going to build. Easily within budget and will blow everything out of the water! Due out well before December.

I've already got an M3 Ultra. I'm going to try this out to get M5 Ultra pp speeds: https://blog.exolabs.net/nvidia-dgx-spark/ Going to start with just one for Minimax 2.7 prefill, but if it works really well I'd consider a second. I somehow expect buying 2 GB10 systems is still going to be cheaper t

Unfortunately, that's about as far as my knowledge goes. I've only been using it for a few weeks, and I was late to the "AI party" in general. I was stubbornly resistant up until about a year ago, then mainly used GitHub Copilot for coding. I've started experimenting with RAG and automations, but I

You could probably run GLM-4.5-Air or IceBlink v3 (106b parameters) locally at 3-bit quantization, maybe 4 XXS. Without any particular optimization, I'm running an unsloth Q4 of that model; it consumes 70 GB including graphics RAM for OS stuff and other apps. The problem is your performance would be

Strix Halo is impressive with the RAM you can use for LLM's but it lacks sheer speed. I have an HP Strix Halo 128GB mini PC and it's crazy it can run what it can for the price. Now that in a laptop is going to cost a premium but if you're going to just play games or use small models Nvidia will run

It is a game changer for some local AI workflows, but not because “integrated RAM-VRAM” magically beats every GPU setup. The big deal is the memory pool. A normal PC with a 24GB or 32GB GPU can be very fast, but model size is constrained by VRAM. Once you spill into system RAM, performance usually f