DGX Spark

nvidia is being affected by the dram most likely. they dont make parts in house they actually buy them. if its short everywhere then nvidia cant buy their parts to make their new stuff they might sell the shovels but they are starting to get expensive to make. meanwhile apple jumped in to make custo

Google One Pro: Storage, Gemini, etc.. Internet Home workers My servers & my ❤️ NVIDIA DGX Spark.

https://www.nvidia.com/en-us/products/workstations/dgx-spark/ it's $4,000. in my pc i have a 4070. The DGX spark is 30x more powerful for AI workloads

NVIDIA did - they call it the DGX Spark. I have one. 128 GB of LPDDR5X memory to the Grace Blackwell chip. $3999 retail. Apple could smash this thing to bits with an M6 with a bajillion neural cores and the same RAM. They could price it at $1999 and take the whole market. They’re already doing it wi

I’ve got a Strix Halo and 2x GB10 (Nvidia DGX Spark, but the Asus version). For pure AI workloads, I’d go with the GB10. For example, on GPT-OSS-120B I’m hitting ~6000 pp and 50–60 t/s with vLLM, and I can easily serve 3 or 4 parallel requests while still outperforming my Strix Halo, which struggles

Post on over to r/localllama or check out the wiki there for setups. DGX sparks are not an inference powerhouse for the $$$$ you’d spend. It’s not an enterprise grade system for 1500 users either. It’s for local, personal prototyping on the same environment as you’d deploy when you deploy to a large

Those models perform a lot worse than the API you'd spend 100k/year on. And the inference speed is a single digit percent of it as well, uselessly slow. If you consider those aspects this is not a great purchase. Honestly better off just getting Nvidia's 100GB workstation GPUs for 7k a piece. Their

Firstly you should understand that the Ryzen AI Max+ 395 chip is not intended to be an all-purpose AI chip. It comes with a lot of memory, but does not support CUDA, does not have a lot of compute, and most importantly does not have a lot of memory bandwidth. Not supporting CUDA means the options fo

The "AMD effect" is happening when it comes to Nvidia DGX Spark. The legendary developer John Carmack put DGX Spark through its paces and he came away disappointed with the product: DGX Spark appears to be maxing out at only 100 watts power draw, less than half of the rated 240 watts, and it only se

It might not have lived up to the hype but it gets the job done. People also underestimate how much noise, power and heat a system with duel full height graphic cards put out. The Mac Studio and DGX Sparks give you very capable systems in a small convenient package. AMD Strix Halo is also an option