Which computers with 64 GB or more can run a mid-size local mind at a useful speed?
A lasting local mind needs memory more than anything: a mid-size open model (about 30 billion parameters) needs roughly 17 GB at 4-bit, plus room for long context and everything else a robot runs. That rules out most robot computers (8–16 GB). This comparison covers every robot module and small computer we found with 64 GB or more, plus the latest Mac mini, the smallest Apple computer that qualifies.
Researched Sep 27, 20268 computers compared
Prismatic's two chosen hosts come first, labelled; the others follow alphabetically and are ranked by nobody. Speeds are estimates from memory bandwidth unless a benchmark is shown.
The chart
MeasuredPublishedReportedEstimateNot disclosed
Chip
Role
Memory
Bandwidth
AI compute
Power
Price
Est. speed, ~30B model
Robot-ready
Mac mini with M5 Pro, 64 GB · Apple — Prismatic's retrofit hostWe make it
Desk-size computer: Prismatic's retrofit site control centre
64 GB Published
307 GB/s Published
Up to 18-core CPU, 20-core GPU with Neural Accelerators
6 W idle, 145 W CPU maximum (Apple, wall); 155 W maximum continuous rating; not yet measured by Prismatic Published
From US$1,699; about US$2,699 with 64 GB (estimate from Apple configuration prices) Estimate
~9.9 tokens/s Estimate
No: mains-powered desk computer; sits beside the machines
Jetson AGX Orin 64 GB · NVIDIA — Prismatic's greenfield hostWe make it
Robot module: Prismatic's greenfield host
64 GB Published
204.8 GB/s Published
Up to 275 TOPS; 2048-core Ampere GPU, 12-core Arm CPU
15–60 W modes Published
Module US$2,999 (1,000+ units); developer kit US$3,499 Published
~6.6 tokens/s Estimate
Yes: built for robots; industrial version available
DGX Spark (GB10) · NVIDIA
Desk AI computer
128 GB Published
273 GB/s Reported
Up to 1 petaFLOP FP4; 20-core Grace CPU
Not disclosed here Not disclosed
US$4,699 (after a February 2026 price rise, reported) Reported
~8.8 tokens/s Estimate
No: desk computer
Dragonwing IQ10 · Qualcomm
Robotics reference design
64 GB Published
Not disclosed Not disclosed
700 TOPS (up to 2,000 with expansion); 18-core Oryon CPU
12 V or 24 V input; -40 to 70 °C Published
Not disclosed Not disclosed
Not estimated
Yes: for AMRs, industrial machines and humanoids
Jetson AGX Orin Industrial · NVIDIA
Rugged robot module
64 GB Published
204.8 GB/s Published
Up to 248 TOPS
15–75 W Reported
US$3,199 (1,000+ units) Published
~6.6 tokens/s Estimate
Yes: wide temperature, vibration, extended life
Jetson T4000 (Thor family) · NVIDIA
Robot module
64 GB Published
Not disclosed Not disclosed
1,200 FP4 TFLOPS (Blackwell)
40–70 W Reported
US$2,999 (1,000+ units) Published
Not estimated
Yes: for humanoids and advanced robots
Jetson T5000 (AGX Thor) · NVIDIA
Robot module
128 GB Published
273 GB/s Published
2,070 FP4 TFLOPS; 14-core Neoverse-V3AE CPU
40–130 W Published
Module US$4,999 (1,000+ units); developer kit US$5,499 Published
~8.8 tokens/s Estimate
Yes: built for humanoids
Ryzen AI Max+ 395 (mini PCs) · AMD
Mini PC chip (e.g. GMKtec EVO-X2)
128 GB Published
256 GB/s Reported
16-core CPU; 40-CU RDNA 3.5 GPU; up to 96 GB to the GPU
Up to ~120 W in performance modes (reported) Reported
About US$3,299 for 128 GB (GMKtec EVO-X2, reported) Reported
~8.3 tokens/s Estimate
No: mini PC
Speed for one conversation is limited mainly by memory bandwidth; long prompts are limited by compute. Power matters for batteries; price matters for fleets. Prismatic's two hosts: a 64 GB Mac mini (M5 Pro) beside machines that already work (retrofit), and the Jetson AGX Orin 64 GB inside new machines (greenfield sites). The 16 GB Mac mini it was proven on is too small for industrial work. Neither 64 GB host is yet measured by Prismatic.
Run your numbers
Will the model fit, and how fast will it answer?
Pick a chip, then the model size. Speed is estimated from memory bandwidth: the main limit for answering one person at a time.
Model weights (GB)—
Total needed with context and overhead (GB)—
Memory left over (GB)—
Estimated answer speed (tokens/s)—
About words per minute—
How it works: weights = parameters × bits ÷ 8 × 1.05; needed = weights + context × memory per 1K + 4 GB overhead; speed ≈ bandwidth × efficiency ÷ weights. Estimates for one conversation at a time. Prefill (reading a long prompt) depends on compute, not bandwidth, and is not shown.
Energy and cost of running it all year
What the computer costs to run, around the clock, and over five years.
Energy a year (kWh)—
Electricity a year—
Hardware + 5 years of electricity—
How it works: kWh = watts × hours × 365 ÷ 1,000; cost = kWh × price per kWh.
How long would it run on a battery?
For robots and off-grid machines.
Hours on the battery alone—
Share of the battery in an 8-hour shift—
How it works: hours = battery × efficiency ÷ watts.
Reviews and gaps
Mac mini with M5 Pro, 64 GBApple · Desk-size computer: Prismatic's retrofit site control centre
Our review. The latest Mac mini (released 22 Sept 2026) and the fastest memory here at the lowest price: the natural site box for machines that already exist.
Gaps. Not a robot computer (mains power, no rugged or wide-temperature version); Apple software stack.
Benchmark found: 15–22 tokens/s reported for a 32B 4-bit model with MLX (reported)
Mac mini M5 Pro 64 GB: the fastest memory here at the lowest price, for sites where the machines already exist.
Jetson AGX Orin 64 GB: proven inside robots today, with a 15 W mode for batteries; the same family cobots and tractors already carry.
Both run the same Prismatic software and model files; a mind moves between them.
Honest: Jetson Thor (T5000) is faster and newer; it costs more and draws 40–130 W. Prismatic is designed to move to it when a customer's power budget allows.
For patient investors
The same mind, market after market.
Retrofit sites pay first on a 64 GB Mac mini (M5 Pro) beside machines that already work. Greenfield machines carry the same mind inside, on the Jetson AGX Orin 64 GB, licensed per machine. The horizon (blackouts, wilderness, space) is where a mind that needs no cloud is not a feature but the point.