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Running Meta's Muse Spark Open locally costs at least $21,598 in Mac Studios

Apple and Meta have enabled Meta's 816-billion-parameter Muse Spark Open model to run locally on clustered Mac Studios. CNBC reported that each 256GB M5 Ultra machine costs at least $10,799, so a two-machine cluster comes to $21,598 or more.

The Investor · Invest desk

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1,024GB holds about twice the bytes per parameter Memory per parameter for Muse Spark Open's 816 billion parameters, with 512GB versus 1,024GB of memory pooled across machines.

Key figures, all disputed: 512GB of pooled memory gives about 0.63 bytes per parameter; 1,024GB of pooled memory gives about 1.25 bytes per parameter; Muse Spark Open has 816 billion parameters.

1,024GB holds about twice the bytes per parameter
FigureValueNoteClaim
Memory per parameter, 512GB pooled, about0.63 bytesdisputed17
1,024GB pooled, about1.25 bytesdisputed19
Model parameters816 billiondisputed21

What happened

  • Meta AI chief Alexandr Wang said in an interview that many powerful open-weight models are too big for most personal computers, but Mac Studios offer enough memory to make Muse Spark Open practical.
  • Developers can download a version from Hugging Face with no extra configuration for Apple silicon, and Apple published benchmarks and MLX documentation on splitting models across machines.
  • According to Cryptobriefing, 42 billion of the model's parameters are active at a time, and its context window is 1 million tokens.
  • Apple and Meta have had no public partnership since 2017; relations hit bottom after Apple's 2021 privacy changes, which Meta estimated in early 2022 would cut its revenue that year by $10 billion.

Why it matters

  • What it costs cost A four-machine cluster costs at least $43,196 at the 256GB price, and the companies' promise of savings over cloud use was not set against any cloud bill.
  • Who has to decide decision A team sizing a cluster must pick between more of today's 256GB machines and fewer of the 512GB version, which costs more than the 256GB model and is due later this month.
  • What it limits constraint The weights carry a license that allows only limited commercial use, per Meta, and come from a company that has since centered its AI work on proprietary models, so a team building on them depends on Meta's later choices.
  • Who's exposed exposure CNBC says the pairing could challenge OpenAI and Anthropic and could signal Apple's strength in AI chips, a market Nvidia has dominated so far.

Memory sets the size of the cluster, and the two sources describe it differently. Two 256GB machines hold 512GB [16], or 0.63 bytes for each of the model's 816 billion parameters, about five bits [17]. That is a ceiling: it assumes the whole 512GB holds weights, and anything the operating system or the model's context needs comes out of the same pool, so the precision of the downloadable version would decide whether two such machines are enough. Cryptobriefing describes two linked machines pooling nearly 1 terabyte [2]. Two 512GB machines would pool 1,024GB [18], or 1.25 bytes per parameter, twice the room [19].

Only 42 billion of the 816 billion parameters are active at a time, about 5.1% [20]. A cluster sized for memory fits that profile: roughly 95% of the weights wait on any one token [20].

On the alliance, we think the evidence supports a narrow version. Apple and Meta worked together for months [9] on one model and one chip family, and representatives of both declined to say whether it is the start of a deeper relationship [8]. CNBC calls the announcement a sign that the AI boom has shifted historical alliances in Silicon Valley [25]. Wang, the only executive quoted on the history, said, "Most of the animosity predates my tenure at the company, but obviously there's been a long history between Meta and Apple" [11]. He pointed to Daniel Gross, an AI researcher on his team and a former Apple director, as a reason for the collaboration [12]. A shared hire and a shared model is a thin base for the larger claim.

The counter-thesis is that this is the first of several joint releases, and it is cheap to test. A second Meta model tuned for Apple silicon, or a commercial agreement between the companies, would make this the start of something larger; a next release tuned first for other hardware would confirm the narrow view.

Local running also changes how the spend arrives. Cryptobriefing describes cloud-API vendors as forcing customers to send data out and pay per use [23]. A cluster is bought once, and the sale goes to Apple. The companies' claim that local running saves money [22] fails for any team whose per-use bill over the machines' working life would come to less than $21,598 [14].

What to watch

  • Whether the 512GB Mac Studio ships later this month and at what price, which fixes the cost of a two-machine cluster.
  • Whether Meta tunes a second model for Apple silicon, or the two companies announce a commercial agreement.
  • Independent tests from developers pulling the weights from Hugging Face and running them on two-machine and four-machine clusters.

Information, not investment advice. This story is general information about companies and markets, drawn from cited reporting. It is not a recommendation to buy, sell or hold any security; check the cited sources before acting.

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence58
Adoption
Not scored
Hype gap+35
Incentives70
Confidence68

Perspective Coverage

32 publishers
Builder
Builder 39%
Operator
Operator 31%
Investor
Investor 30%
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Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    Customers will be able to pair between two and four Mac Studio PCs to use Muse Spark to code, analyze video or do other agentic work.

    Reported Supported Source: CNBCView cited source
  2. [2]

    Two Apple M5 Ultra Mac Studios linked through MLX pool nearly 1 terabyte of unified memory.

    Reported Supported Source: CryptobriefingView cited source
  3. [3]

    A Mac Studio with the required M5 Ultra chip and 256GB of memory costs at least $10,799.

    Reported Supported Source: CNBCView cited source
  4. [4]

    A more expensive Mac Studio version with 512GB of RAM, costing more than the 256GB version, will be released later this month.

    Reported Supported Source: CNBCView cited source
  5. [5]

    Meta AI chief Alexandr Wang said in an interview that many powerful open-weight models are too big to run on most personal computers, but Apple's Mac Studios make enough memory available that it is practical to run Muse Spark Open.

    Reported Supported Source: CNBC, citing Alexandr WangView cited source
  6. [6]

    Developers can download a version of Muse Spark Open from sites like Hugging Face without extra configuration for Apple's silicon; the model has been tuned to run faster on Apple hardware, and Apple revealed new benchmarks and published technical documentation about its MLX framework's ability to split open-source models across multiple machines.

    Reported Supported Source: CNBCView cited source
  7. [7]

    Muse Spark Open has 42 billion parameters active at any given time and a context window of 1 million tokens.

    Reported Supported Source: CryptobriefingView cited source
  8. [8]

    Representatives from Apple and Meta declined to say whether the Muse Spark Open collaboration was the start of a deeper relationship.

    Reported Supported Source: CNBCView cited source
  9. [9]

    The announcement followed months of collaboration between Apple and Meta.

    Reported Supported Source: CNBCView cited source
  10. [10]

    Apple and Meta have not struck any public partnership since 2017, when Apple removed system-level Facebook integration from the iPhone; the relationship hit rock bottom after Apple's 2021 privacy changes, and Meta estimated in early 2022 that the change would cut its revenue that year by $10 billion.

    Reported Supported Source: CNBCView cited source
  11. [11]

    Wang said, "Most of the animosity predates my tenure at the company, but obviously there's been a long history between Meta and Apple."

    Reported Supported Source: Alexandr Wang, quoted by CNBCView cited source
  12. [12]

    Wang pointed to Daniel Gross, an AI researcher on his team and a former Apple director, as a reason for the collaboration.

    Reported Supported Source: CNBC, citing Alexandr WangView cited source
  13. [13]

    Meta once centered its AI strategy on its open-weight Llama family but has since focused on proprietary models under Wang, who joined when Meta invested more than $14 billion into his former startup Scale AI last year.

    Reported Supported Source: CNBCView cited source
  14. [14]

    Two Mac Studios at the 256GB price cost at least $21,598.

    Derived Supported
  15. [15]

    Four Mac Studios at the 256GB price cost at least $43,196.

    Derived Supported
  16. [16]

    Two 256GB Mac Studios hold 512GB of memory in total.

    Derived Supported
  17. [17]

    512GB across 816 billion parameters is about 0.63 bytes per parameter, roughly five bits.

    Derived Supported
  18. [18]

    Two 512GB Mac Studios would pool 1,024GB of memory.

    Derived Supported
  19. [19]

    1,024GB across 816 billion parameters is about 1.25 bytes per parameter, roughly twice the 0.63 bytes available on two 256GB machines.

    Derived Supported
  20. [20]

    42 billion active parameters is about 5.1% of 816 billion, leaving roughly 95% inactive for any one token.

    Derived Supported
  21. [21]

    Muse Spark Open is an 816-billion-parameter open-weight model using a mixture-of-experts architecture; Meta says it is the most capable open-weight model released under a license that allows limited commercial use.

    Reported Contested Source: CNBC, citing MetaView cited source
  22. [22]

    The model runs locally instead of in the cloud, adding a layer of security and saving users money, the companies said.

    Reported Contested Source: CNBC, citing Apple and MetaView cited source
  23. [23]

    Cryptobriefing says rivals that keep their best models behind cloud APIs force customers to send data out and pay per use.

    Reported Contested Source: CryptobriefingView cited source
  24. [24]

    CNBC says the collaboration could pose a challenge to OpenAI and Anthropic and could signal Apple's growing strength in AI chips, a market Nvidia has dominated so far.

    Reported Insufficient Source: CNBCView cited source
  25. [25]

    CNBC calls the announcement a sign that the AI boom has shifted historical alliances in Silicon Valley.

    Reported Insufficient Source: CNBCView cited source

Sources

32 independent publishers whose own reporting we read for this story.

  1. 9to5mac.com

    1 article · October 15, 2026

    Meta launches new Muse Spark Open model, optimized to run on Mac Studio
  2. bloomberg.com

    1 article · October 15, 2026

    Meta Releases Open AI Model While Keeping Its Best Tech Closed - Bloomberg
  3. businessinsider.com

    1 article · October 15, 2026

    What's on Zuck's desk? We pushed Muse to figure it out.
  4. businesstoday.in

    1 article · October 16, 2026

    Meta launches Muse Spark Open model to run on Mac Studio: How it can benefit users - BusinessToday
  5. channelnewsasia.com

    1 article · October 15, 2026

    Meta releases open-weight Muse Spark model for coding, agentic tasks
  6. cnbc.com

    1 article · October 15, 2026

    Apple and Meta team up to make Muse AI model run on Mac computers
  7. cnet.com

    1 article · October 16, 2026

    Surprise! Meta and Apple Worked Together on a New Open-Source AI Model - CNET
  8. cryptobriefing.com

    2 articles · October 15, 2026

    Meta’s Muse Spark Open AI model can run locally on Apple Mac Studio
  9. cryptopolitan.com

    1 article · October 15, 2026

    Meta says a pair of Apple Mac Studios can run its 816B-parameter Muse Spark Open
  10. cultofmac.com

    1 article · October 15, 2026

    Meta and Apple team up to bring powerful open-weight AI to Macs | Cult of Mac
  11. digitaltrends.com

    1 article · October 16, 2026

    Meta wants you to run its powerful new AI model on your desktop, but there's a catch - Digital Trends
  12. engadget.com

    1 article · October 15, 2026

    Meta built a huge open-weight AI model for Macs, but you'll need 1TB of RAM to run it
  13. fastcompany.com

    1 article · October 16, 2026

    Meta and Apple agree on at least one thing: Open-weight AI is cool
  14. finance.yahoo.com

    1 article · October 16, 2026

    Apple and Meta Just Teamed Up on AI, and Zuckerberg Thanked Apple’s CEO by Name
  15. gadgetreview.com

    1 article · October 15, 2026

    Apple and Meta Collaborate to Run a Massive AI Model Locally on Mac - Gadget Review
  16. implicator.ai

    2 articles · October 16, 2026

    Meta's 816B Muse Spark Open Trails Chinese Rivals at Coding
  17. macrumors.com

    1 article · October 15, 2026

    Meta and Apple Bring Muse Spark Open AI Model to Mac Studio
  18. macstories.net

    1 article · October 15, 2026

    Meta Releases Muse Spark Open, an Over 800 Billion Parameter Model That Can Run Locally on Multiple M5 Ultra Mac Studios - MacStories
  19. mashable.com

    1 article · October 15, 2026

    Apple and Meta team up on Muse Spark Open for Mac Studio | Mashable
  20. qz.com

    2 articles · October 16, 2026

    Meta and Apple are partnering to run an open-weight AI model on Mac Studio computers
  21. research.meta.ai

    1 article · October 14, 2026

    Meta releases Muse Spark Open, saying it is the most capable US open-weight model, with 816B total and 42B active parameters and a 1M-token context window
  22. semafor.com

    1 article · October 16, 2026

    Apple and Meta to collaborate on new AI model
  23. siliconangle.com

    1 article · October 15, 2026

    Meta releases 816B-parameter Muse Spark Open for coding and agent work
  24. siliconrepublic.com

    1 article · October 16, 2026

    Meta unveils ‘most capable’ US open-weight model Muse Spark Open
  25. techcrunch.com

    1 article · October 15, 2026

    Meta launches an open-weight AI model that runs on Macs
  26. techrepublic.com

    1 article · October 16, 2026

    Meta Unveils Muse Spark Open, Its Most Powerful Open-Weight AI Yet
  27. techtimes.com

    1 article · October 15, 2026

    Muse Spark Open Runs on Two Mac Studios: Meta Breaks Data Center Barrier
  28. theguardian.com

    2 articles · October 15, 2026

    Meta releases Muse Spark Open, a new ‘open-weight’ AI model | AI (artificial intelligence) | The Guardian
  29. thehindu.com

    1 article · October 15, 2026

    Meta releases weights for Muse Spark Open - The Hindu
  30. thenextweb.com

    1 article · October 15, 2026

    Meta opens a weaker AI model while keeping the frontier closed
  31. theverge.com

    1 article · October 15, 2026

    Meta and Apple team up to make Muse AI models run better on Macs
  32. wccftech.com

    1 article · October 15, 2026

    Meta's Muse Spark Open Model Delivers A Throughput Of 20 Tokens/Sec On 2x Apple M5 Ultra Mac Studios

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