The Mac Studio with M5 Max and M5 Ultra chips was supposed to launch in the first half of 2026. WWDC came and went, and… nothing. Apple has officially pushed the launch back to October 2026.
But this delay isn’t just a minor supply chain hiccup—it’s part of a massive, quiet battle over global memory chips. The irony? The very machine built to dominate local AI workflows is being held back because tech giants (Nvidia, Microsoft, Google, Amazon, Meta) are buying up standard DRAM and NAND components to build massive AI data centers.
In this video, we break down why the M5 Mac Studio is delayed, the severe shortages hitting current M3 models, and why the jaw-dropping specs of the M5 architecture make it worth every single second of the wait.
⏱️ Video Timestamps
0:00 – The Missing WWDC Powerhouse
0:44 – The Global AI RAM Crisis Explained
1:30 – Current Gen Stock is Quietly Evaporating
2:10 – M5 Max: Silicon Breakdown & Embedded Neural Accelerators
3:05 – M5 Ultra: The Local AI Monster (192GB VRAM)
3:50 – Chassis Design & Port Layout Updates
4:12 – Expected Pricing & Configuration Chaos
Key Takeaways From the M5 Architecture
Integrated Neural Accelerators: Unlike previous generations where the Neural Engine sat completely separate from the graphics processors, the M5 architecture embeds AI hardware directly into every single GPU core. Apple’s Machine Learning Research team points to a massive 4x faster time-to-first-token compared to the M4 for local inference jobs.
The Local LLM Cheat Code: With the M5 Ultra pushing up to 192GB of unified memory at 800 GB/s, developers can comfortably load a fully quantized Llama 70B model four times over with room to spare.
The Hardware Bottleneck: Apple is physically struggling to source the RAM. Current M3 Ultra configurations are facing 9-to-10-week shipping delays, and higher-tier memory setups have been quietly wiped from Apple’s website entirely.
What hasn’t changed? The outer shell. Expect the same ultra-compact “squircle” aluminum chassis, though rumors persist about a sleek new Space Black option. You’ll get six Thunderbolt 5 ports, HDMI 2.1, two USB-A ports, a front SDXC slot, and 10Gb Ethernet.
💬 What do you think? Are you holding out for the M5 Max or saving up for the M5 Ultra behemoth? Is an October 2026 release date a dealbreaker for your workflow? Let’s talk in the comments below!
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#apple #macstudio #M5Ultra #m5max #technews #applesilicon #artificialintelligence #localllm #wwdc2026
If they don't include an option 1T Ram, at least 40 CPU cores, and > 120 GPU cores, no interest …
AI generated.
192gb is not a monster
192 of RAM????? Its less then M3 Ultra. And how it can provide about 800 gb/s memory bandwith (like much older M1 Ultra) if M5 Max has 614 Gb/s. So if M5 Ultra is 2x M5 Max it should be 1228 gb/s!!!!!
By pushing the launch time back to October it gives you time to save the money up 😂
Another Clickbait video
AI Slop…
on va commencer par voir les mac mini M5 avant de dire de la bullshit.
The Apple M5 Ultra Studio is expected to offer up to 256 GB of unified memory acting as its VRAM. The NVIDIA DGX Spark features 128 GB of unified LPDDR5x system memory acting as its VRAM. Estimates of the maximum model size that the DGX can accomodate is 200 billion parameters. If the Apple computer could double this spec, it would be a big step forward. That's a big IF, so we have to wait for the hardware to be released and benchmarked.
My gaming PC with an NVIDIA GeForce RTX 5090 comes with 32 GB of GDDR7 VRAM, and 128 GB of DDR5 RAM. This is fine for running a pre-packaged LLM based on 30 billion parameters.
192 gb is a HUGE STEP BACKWARDS and it means it will not run the best local models.
I won't buy an M5 Ultra with less than 512GB RAM. I'd be in heaven if you could get a Mac Studio M5 Ultra with 1024 GB RAM.
if apple was smart they would buy up a memory company.. then they could use what they need and sell the rest to others… its money in the bag… its not rocket science folks
10,000 videos like this everyday, copy > paste. Delete.
Garbage
AI Slop. Dont waste your time!