Apple Store Outage Map
The map below depicts the most recent cities worldwide where Apple Store users have reported problems and outages. If you are having an issue with Apple Store, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
Apple Store users affected:
The Apple Store is an e-commerce website operated by Apple Inc. The Apple Store sells devices such as iPhones, iPads, iMacs, Macbooks and official accessories.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Nantes, Pays de la Loire | 1 |
| Capitólio, MG | 1 |
| Adelaide, SA | 1 |
| Ahmedabad, GJ | 2 |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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Apple Store Issues Reports
Latest outage, problems and issue reports in social media:
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Metal (@MetalXMeta) reported@TinyMetaX @Apple Ohhh that is a ****** PROBLEM Find an Apple Store asap and bring it to their attention
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Bee Bee (@_iadorewomenn) reportedImma make it to the Apple Store way before my apt time … they just need to take me fix the problem so i can go
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AI With Ridi (@RidiTechAI) reportedIf this saved you $70 or helped you realize the Pro 2 is worth $70 more one ask: Repost the first post so the next person standing in the Apple Store staring at two boxes has the breakdown before they buy. Follow [ @RidiTechAI ] I break down the hidden comparisons, features, and pricing games that companies bank on you not questioning.
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Asher Crowe 🪺 (@ashercrw) reportedA 31-YEAR-OLD IN BELGRADE IS PULLING $8,400 A MONTH OFF FIVE MAC MINIS RUNNING IN A TOWER ON HIS DESK. The whole stack costs $19 a month in electricity to operate. The hardware paid for itself in week one. The setup is so quiet his girlfriend didn't notice when he turned it on. His name is Stefan. This is the cleanest example of the new solo operator economy I've seen all year and the numbers deserve a full breakdown. The hardware is five M4 Mac Minis stacked in a tower on his desk. Each one has a number written on it in marker, 1 through 5, so he knows which node dropped when one goes silent. A pink dumbbell sits on the shelf above them. A can of compressed air on the windowsill. The whole thing hums quieter than the mini fridge in the corner. The five machines are clustered with EXO into one virtual machine. EXO is the open-source framework that lets you string together consumer hardware into a distributed inference rig without needing a degree in systems engineering. The setup runs Llama 70B locally on MLX, Apple's machine learning framework optimized for unified memory. Nothing he runs ever touches a cloud server. No API costs. No rate limits. No latency tax. The model runs on his desk and answers in milliseconds. Here's the workflow he built around it. A client uploads a raw manuscript. Anywhere from 60,000 to 120,000 words. Indie author novels, self-help books, faceless YouTube channel scripts, the kind of long-form content that needs narration but doesn't have a studio budget. The Llama 70B model does the reading work first. It ingests the raw text, cleans the formatting, splits the chapters automatically, and tags every line of dialogue with the emotional tone it should be read in. Excited. Whispered. Angry. Resigned. Then it writes the chapter descriptions that faceless YouTube channels paste directly under their uploads. All of it done locally. All of it done in one pass. Then an open voice model on the same stack takes over and narrates the entire book in a single locked voice. The voice never gets tired, never asks for a re-record, never raises its day rate, never catches a cold the day before a session. The same voice across every chapter, every book, every client. Consistency that human narrators physically cannot match. A local audio mastering model handles the final polish. Compression, leveling, breath cleanup, room tone matching. The output is studio-quality audio ready for upload. The stack renders 28 hours of clean narration per month while he sleeps. He wakes up, exports the files, sends them to clients, invoices them, and goes back to whatever he wants to do with his day. Now the part that breaks people. The power draw across all five machines running at full load is 180 watts. He has a KUMAN meter plugged into the wall to track it. A single gaming PC idles higher than that. The entire AI studio he built consumes less electricity than a hair dryer on low. At Serbian residential rates that works out to roughly $19 a month in operating cost. Eight thousand four hundred dollars in, nineteen dollars out. A 442x margin on power alone before you account for the fact that the hardware paid for itself the first week he turned it on. His girlfriend asked why the power bill didn't move after he built it. He told her it can't, the machines barely draw anything. She asked what the whole thing cost to set up. He told her. She asked why he didn't build ten. That's the right question. A traditional audiobook studio has a narrator on a day rate, a booth, an engineer, and a monthly power bill that buries solo operators. The cheapest professional narrator in the US charges around $200 per finished hour. The cheapest decent one runs closer to $400. A 10-hour audiobook costs an indie author at least $2,000 in narration alone, plus mastering, plus mixing, plus the three week turnaround time while the narrator fits the project into their schedule. Stefan delivers the same product for a fraction of the cost, in 48 hours, with consistent quality across every chapter, and his only constraint is how fast he can find clients. The economics are completely deranged compared to traditional service businesses. He doesn't pay rent on a studio. He doesn't pay a narrator. He doesn't pay for cloud compute. His marginal cost per audiobook is approximately the electricity it takes to run the cluster for the duration of the render, which is measured in pennies. A few realizations worth sitting with. The frontier of AI economics is no longer in San Francisco. It's in apartments in Belgrade, Lagos, Manila, and Tbilisi, where operators with low overhead and high technical curiosity are quietly running businesses that look impossible from the outside. The geographic distribution of who actually makes money from AI is going to look nothing like the geographic distribution of who funded the labs. Local inference is the quiet revolution nobody on this app is talking about loudly enough. Every workflow that currently runs on OpenAI or Anthropic APIs has a cousin that runs on a Mac cluster for the price of an electrical outlet. The companies paying $30k a month in cloud bills are going to wake up in 18 months and find their margins eaten by operators paying $19. The audiobook market is just the beginning. Every service business with high human labor costs and predictable output requirements is about to get the same treatment. Voiceover work, transcription, translation, copywriting, image editing, video editing, customer support, technical writing. Each one of these has a local-inference version waiting to be built by someone with a stack of Mac Minis and an EXO config file. Stefan didn't invent anything. He just connected the right pieces. The pieces have been sitting on GitHub for over a year. The Mac Minis have been on shelves at every Apple Store. EXO is free. The voice models are open. The orchestration is a weekend project. The only barrier was knowing it was possible. Now you know.
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Moral Priest 🌱Ⓥ ₿ (@MoralPriest) reported@BeSovereign_1 @0xEthan No. iOS is inherently a problem as it require someone to KYC themself to publish on Apple store. You could compile a version yourself and side load it in theory.
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mimcee (@mimcee) reported@tim_cook How so!? #AppleSucks because you guys still haven’t resolved my Apple Store issue???!!!!
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free palestine 🇵🇸 (@eclairification) reportedit’s over now but for Two Years they were having Apple Store lock in nights playing games on the iMacs collecting private paychecks from one of the worlds biggest companies and the justification was that a basic lock between two empty rooms was broken. the mall had security
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mkb (@mkbraudaway) reported@FloreFlos Smart move. I had an issue w/cell service. Went to get it resolved & the employee literally referred me to the Apple Store to fix an issue THEY created. 🤯I went back on a diff day & told the manager. Said I was in cust serv for a very long time & I was mortified. He was too.
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Greg - Israelite in Exile (surviving the Galut) (@anexiledjew) reportedI bought a set of AirPods Pro from Laptops Direct about a year ago. I have a problem with the left AirPod charging, and I went to an Apple Store to have them look at it today. Astonishingly, I discovered at the Apple Store that the serial number is tied to a date of purchase from 2024 in a Walmart in the United States. Avoid this retailer.
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Oleh (@OlehProductFit) reportedCHINESE DEVS PACKED 1,000 MAC MINIS INTO A SINGLE DATA CENTER AND BUILT A $9,000,000-A-YEAR AI BUSINESS OUT OF APPLE'S CHEAPEST BOX. one thousand silver boxes. rack after rack, floor to ceiling, a wall of fans roaring to keep the whole room cool. Apple sold every one of them for $599 as a desktop for students and creators. these guys turned all thousand into a private cloud that rents compute Western companies charge a fortune for. the build cost around $600,000 once. electricity runs a few thousand a month. and roughly a hundred clients pay monthly retainers to run their models on hardware that never touches the public cloud. run the math and it stops looking like a hobby — boxes bought once, power measured in the low thousands, revenue clearing tens of millions before anyone in the West notices. OpenAI raised billions to build data centers. these guys raised nothing, bought a thousand boxes off the shelf, and quietly undercut the entire industry. the craziest part isn't the scale. it's that every piece of it was sitting in the Apple Store the whole time. tomorrow I'm breaking down how a farm this size is actually wired — the racks, the cooling, the software holding a thousand machines together. save this before running your own cloud stops sounding insane ↓
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Coolz (@Coolz261) reported@lilsamsquanch66 Hopefully the Apple Store caus my shits been slow as hell lately
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Chidanand Tripathi (@thetripathi58) reportedA man's iPhone battery was dying by 2 PM every day. But his Battery Health was at 99%. He constantly closed background apps. Turned down his brightness. Lived on Low Power Mode. The battery still melted like ice in the sun. He went to the Apple Store, ready to pay $89 for a battery replacement. The Genius Bar employee held up a hand: "Keep your money. Let me show you something." She opened Settings → Privacy & Security and sighed. "There are silent 'vampire' features bleeding your battery dry. Apple turns almost all of them on by default. Nobody tells you they exist. Let's fix it." Here's what she showed him in the next 8 minutes. 🧵
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GoymResistanceAlliance (@GoymResistance) reported@durov Pavel....Apple store and Google App keeps shadow banning many good channels on Telegram. Any chance to fix that?
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O1D (@onlyonedona_1) reportedWhy all of a sudden the rectangle tool I using in marking my order blocks on the chart can’t be spotted on 15mins I’ve updated my trading view app from the Apple Store and it’s still not working I’m I the only one experiencing this ?
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Alida Antonia (@ArtByAlida) reported@ATT Your tech support told me that I should go to the Apple Store because he could not fix my issue. Apple had full access to see my settings. It’s an @ATT problem. It’s not an Apple issue.