Apple Silicon
Mac Mini AI Dock Plan: Ports, Storage, and a Cleaner Desk
Build the dock around the sustained jobs, drives, displays, and network links the machine actually needs.
Independent. Local. Rigorous.
Local AI hardware,
without the guesswork.
Practical guidance for Apple Silicon and MLX, NVIDIA and CUDA, VRAM, thermals, power, storage, and networking.
Apple Silicon + MLXUnified memory, efficiency, thermals
02
NVIDIA + CUDAVRAM, sustained load, power
03
Storage + NetworkNVMe, NAS, 10GbE, throughput
Latest lab notes
View all guides
Choose the right machine for the job.
CUDA Workstations
Plan PCIe Lanes Before the Second GPU or NVMe Card
Map bandwidth, slot spacing, cooling, and chipset tradeoffs before the expensive parts arrive.
Storage
Give Local AI a Scratch Drive Before Buying More Compute
Separate models, caches, temporary output, and durable data so storage friction stays visible.
The lab standard
Evidence first. Clear limits. Practical advice.
TokenByte separates evidence from enthusiasm. Every guide should name the workload, the constraint, the tradeoff, and the next test worth running.
How We Test
Choose by constraint
Open build picker
Three systems. Three different reasons to own them.
Apple Silicon
Unified memory, compact hardware, low noise, and strong daily utility with MLX.
Explore Apple buildsCUDA Workstation
Choose around VRAM, sustained thermals, power, slot spacing, and the workloads that need a discrete GPU.
Explore GPU buildsStorage + Network
Keep model libraries, backups, scratch data, and multi-machine access moving without hidden bottlenecks.
Explore lab infrastructureTopic areas
Follow the build by bottleneck.
TokenByte is easiest to use when each guide has a clear job: compute, memory, storage, network, power, automation, or proof.
NVIDIA + CUDA
VRAM, sustained loads, and workstation choices.
Start with the workload, then compare practical 16GB, 24GB, and 32GB build paths.
Apple Silicon + MLX
Unified memory, quiet models, and efficient utility.
Start here when the job rewards a compact daily system with predictable power and noise.
Storage + NAS
Model drives, shared libraries, backups, and 10GbE.
Stop redownloading models everywhere; plan local SSDs and shared storage as one system.
Networking + security
VLANs, agent isolation, NAS access, and lab routing.
Keep experimental AI services useful without giving them the keys to the whole house.
RAM + power
Memory ceilings, UPS planning, and reliability choices.
Start here when the machine works, but the lab still needs more memory, safer power, or cleaner uptime.
Automation + benchmarks
Useful workflows, evidence, and tests worth repeating.
Build one useful private workflow, then measure before buying the next expensive part.