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REDDIT · REDDIT// 19d agoNEWS
MacBook Pro, Mac Studio, RTX 5070 Showdown
A LocalLLaMA user is choosing between a GeForce RTX 5070 PC, a MacBook Pro M2 Max with 64GB unified memory, and a Mac Studio M4 Max with 36GB unified memory for programming and local media generation. The real tradeoff is whether to prioritize model capacity, throughput, or upgrade headroom.
// ANALYSIS
Capacity first, speed second: if the model does not fit, the throughput advantage barely matters.
- –Apple lists the MacBook Pro M2 Max at 64GB unified memory and 400GB/s bandwidth, while the Mac Studio M4 Max starts at 36GB and 410GB/s; the meaningful gap here is memory headroom, not raw bus speed. [MacBook Pro specs](https://support.apple.com/en-az/111838), [Mac Studio specs](https://support.apple.com/en-us/122211)
- –That makes the M4 Max the fastest-feeling option only if the model fits cleanly in 36GB. For 70B-class work, long contexts, and multimodal workloads, that ceiling gets tight fast.
- –The GeForce RTX 5070 ships with 12GB GDDR7, which is why it quickly runs into a wall on bigger local text models unless you lean hard on quantization or CPU/RAM offload. [RTX 5070 specs](https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/)
- –NVIDIA’s Blackwell paper shows FP4 can push FLUX.dev memory below 10GB, which helps explain why the 5070 still looks compelling for media generation even when it is too cramped for larger LLMs. [Blackwell PDF](https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf)
- –The thread’s lone reply lands on the same pragmatic split: use remote subscriptions for giant text models and save local hardware for media work. [Reddit thread](https://www.reddit.com/r/LocalLLaMA/comments/1s253dg/m2_max_64gb_vs_m4_max_36gb_vs_5070_pc/)
// TAGS
llmai-codinginferencegpumultimodalmacbook-promac-studiogeforce-rtx-5070
DISCOVERED
19d ago
2026-03-24
PUBLISHED
19d ago
2026-03-24
RELEVANCE
7/ 10
AUTHOR
snowieslilpikachu69