Mac unified memory acts as both system and GPU memory, so model size directly sets the floor: a base M5 caps at 32GB while an M5 Max scales to 128GB, creating hard ceilings per model tier.
On a Mac, the memory question is not a side spec, it is the whole ceiling. Mac unified memory serves as both system RAM and GPU memory at once, which means the number you pick at checkout sets a hard limit on which local AI models will ever run on that machine. Choose 32GB and certain large models are simply off the table forever. The model size you want decides the Mac you buy, not the other way around.
A base M5 caps at 32GB of unified memory, comfortable for models in the 13B to 30B range. Step up to an M5 Max at 128GB and 70B models run at roughly 12 to 18 tokens per second with room for long context. The rule of thumb: keep model weights to about 60 percent of your unified memory so there is headroom for the context window. Pick your memory tier by the model you intend to run.
Apple Silicon routes processing through a single high-bandwidth memory pool shared by the CPU, GPU and Neural Engine alike. There is no separate VRAM to fill, so a model loads once and runs without copying data between memory pools. That is a real strength: a 70B model at 4-bit precision weighs in at roughly 35GB, beyond any single consumer graphics card, yet fits neatly on a Mac with enough unified memory.
The flip side is that the model, plus the overhead of its context cache, must all fit inside that one pool. There is no overflow trick that keeps speed intact. So the memory you buy is the memory you have, and it directly caps how large a model you can load.
Think of it as a staircase, each memory level unlocking a model class.
A 32GB Mac, the ceiling on a base M5, is the practical minimum for 13B to 30B models. It can hold a model of around 28GB and run inference on the GPU directly, which covers a lot of capable everyday models with room for a sensible context window.
A 64GB Mac, available on the M5 Pro tier, opens the door to larger models with extended context and is increasingly treated as the comfortable baseline for serious local AI work.
A 128GB Mac, the M5 Max, runs 70B-class models at around 12 to 18 tokens per second, usable speed for real work, and has the headroom for very long prompts. At 128GB and above, even some very large mixture-of-experts models become practical to run locally.
The guiding principle across all of them is the same: target model weights at no more than about 60 percent of total memory, leaving the rest for the context cache that grows as your prompt lengthens. The AI PCs at Evetech are specced for this kind of local inference work.
The mistake is buying the Mac first and discovering the memory ceiling later. Unified memory is fixed at purchase and cannot be upgraded afterwards, so the decision is permanent. Decide which model tier you actually need, 13B, 30B or 70B, add the context headroom, then choose the memory configuration that comfortably holds it. The wider best-selling desktops at Evetech are worth comparing too if a discrete-GPU build suits your workload better than a unified-memory machine.
Around 128GB for comfortable headroom. A 70B model at 6-bit quantisation needs roughly 61GB just for weights, and you want context room on top, so an M5 Max class machine is the realistic target.
Yes, for 13B to 30B models. 32GB is the practical minimum for that range and handles a lot of useful models, but it cannot stretch to 70B-class workloads no matter the quantisation.
No. Apple silicon memory is fixed at purchase and cannot be added afterwards. That is why choosing the right tier upfront, based on your target model, matters so much.
Because the whole pool is available to the GPU at once with high bandwidth and no copying. A 70B model that will not fit on a consumer graphics card runs fine on a Mac with enough unified memory.
The model you want to run is the spec that should pick your machine. Browse the AI PC range at Evetech and match the memory to your model tier before you commit, since you only get one chance to choose it.
Around 128GB for comfortable headroom. A 70B model at 6-bit quantisation needs roughly 61GB just for weights, and you want context room on top, so an M5 Max class machine is the realistic target.
Yes, for 13B to 30B models. 32GB is the practical minimum for that range and handles a lot of useful models, but it cannot stretch to 70B-class workloads no matter the quantisation.
No. Apple silicon memory is fixed at purchase and cannot be added afterwards. That is why choosing the right tier upfront, based on your target model, matters so much.
Because the whole pool is available to the GPU at once with high bandwidth and no copying. A 70B model that will not fit on a consumer graphics card runs fine on a Mac with enough unified memory.
Stuttering can arise from frame pacing, asset loading, processor limits, memory pressure, drivers or thermal behaviour even with a GPU. A disciplined diagnosis of the RTX 5090 system should test one variable at a time instead of treating 32GB GDDR7 as a cure-all.
Read more
USB-C can carry video and sometimes power through one lead, while HDMI is a dedicated video route that commonly needs separate power. The R5,999 UColor J5 includes both inputs, so the right choice depends on source-port and cable capability rather than connector shape.
Read more
AM4 versus AM5 is a total-system decision: AM4 can preserve a supported board and memory, while changing platforms may replace several components. At R7,199, the AM4 Ryzen 7 5800X3D offers eight cores and 100MB cache as a focused alternative.
Read more
Hall Effect sticks can resist contact-related drift longer because magnetic position sensing avoids a rubbing potentiometer track. The R1,199 X3 Pro uses anti-drift Hall sticks, but surrounding mechanics, calibration and handling still matter when judging service life.
Read more
Improve input consistency by securing the fightstick, confirming direction mode and practising repeatable lever and button technique. The R1,799 C2 provides Sanwa Denshi controls and a Key Lock to test before replacing the whole unit.
Read more
A hub can fail to output 4K when the host lacks display support, the cable or monitor path is unsuitable, or settings request an unsupported mode. On the R399 UExtend, confirm each link with other peripherals removed before treating its stated 4K function as faulty.
Read more
The Morph 96 X adds a 96 percent layout, hot-swappable switches and changeable internal layers. In-stock SA gaming keyboards start at R299, while this exact model has no confirmed local listing.
SteamOS 3.9 Preview brings Plasma 6.7.3, Linux 7.2 and WiFi changes. Most SA handheld owners should wait for Stable unless they can back up and troubleshoot an early build.
OXS showed compact Thunder Duo systems that add height and rear-channel ideas to desktop audio. Current in-stock SA speakers from R249 to R499 set the basic value check.
5G router band locking South Africa results vary by site, modem and network load. It can steady a router that keeps choosing a poor band, but may remove useful fallback or aggregation. Measure before locking.
The Morph 96 X adds a 96 percent layout, hot-swappable switches and changeable internal layers. In-stock SA gaming keyboards start at R299, while this exact model has no confirmed local listing.
A missing 180Hz option usually points to the active Windows mode, connection bandwidth, monitor input setting or driver path. Check each layer before replacing hardware.
5G router band locking South Africa results vary by site, modem and network load. It can steady a router that keeps choosing a poor band, but may remove useful fallback or aggregation. Measure before locking.
AMD's 26.8.1 notes do not list Flight Simulator stutter as a known issue. Capture a baseline, remove variables and use a controlled rollback to test the claim.
TMR sticks and Hall Effect triggers use magnetic principles, but measure different movements. The G7 Pro pairs Mag-Res TMR thumbsticks with Hall Effect triggers and micro switch stops, covering aim, movement and variable trigger input.
AI content creation needs more than a large headline metric: applications must use the acceleration, and project data must fit the available memory. The RTX 5090 combines 3352 AI TOPs with 32GB GDDR7, creating a strong specification to assess against a named workflow.
A 1000Hz controller can send PC input reports at one-millisecond intervals, reducing one timing window between movement and the game. The G7 Pro supports that rate on PC, while game processing, frame pacing and display response continue to shape performance.
Stuttering can arise from frame pacing, asset loading, processor limits, memory pressure, drivers or thermal behaviour even with a GPU. A disciplined diagnosis of the RTX 5090 system should test one variable at a time instead of treating 32GB GDDR7 as a cure-all.
