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▲ Exoristos 4 hours ago

"Muse Spark Open was optimized to run on Mac Studio with M5 Ultra, and together they’re the best way to run a powerful model on your own desktop."

▲tidbeck 3 hours ago | parent | next [-]

”Serve the model on either two Mac Studios, with M5 Ultra and 512GB of unified memory; or four Mac Studios with 256GB of unified memory, for a total of 1TB of unified memory, enough to hold a NVFP4 quantized version of Muse Spark Open”

Can not find any info on inference speed.

▲sourcecodeplz 3 hours ago | parent [-]

its around 20tps

▲ryanschaefer 3 hours ago | parent | prev | next [-]

Read it again. Two M5s.

Wait read that again. Two 512GB, unreleased model M5s.

This is gonna cost like 50k to run at home.

▲joshstrange 3 hours ago | parent | next [-]

Closer to ~$30K if I had to guess. A 256 version is $11,299.00 (2TB SSD, 256GB RAM, 36-core CPU, 80‑core GPU), so yeah, 4 of those would be close to $50K but the 96->256 RAM upgrade is $4K, if we assume 512 will be double that it's ~$15K/ea.

But yes, still a massive amount of money and that's before we know the TPS or any other stats.

▲jacquesm 3 hours ago | parent [-]

The closest equivalent to something like that is a GB300 based workstation, those go from 90K and up.

▲sorenjan 3 hours ago | parent | prev | next [-]

How much does the engineers at Meta make? Spend enough time together with others making $250k+ and eventually you start suggesting that two 512 GB M5s is something you can put on your desktop. I mean, it's one banana, Michael. What could it cost? 10 dollars?

▲dprkh 3 hours ago | parent | prev [-]

Why would anyone want to run an LLM on Apple's hardware? Why not buy an NVIDIA GPU?

▲tredre3 3 hours ago | parent [-]

Try to find a NVIDIA GPU with 256/512 GB of RAM.

▲pitifulsurround 3 hours ago | parent | prev [-]

okay that's gonna be interesting to try