Prismatic Agents

Comparison · hardware

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
ChipRoleMemoryBandwidthAI computePowerPriceEst. speed, ~30B modelRobot-ready
Mac mini with M5 Pro, 64 GB · Apple — Prismatic's retrofit hostWe make itDesk-size computer: Prismatic's retrofit site control centre64 GB Published307 GB/s PublishedUp to 18-core CPU, 20-core GPU with Neural Accelerators6 W idle, 145 W CPU maximum (Apple, wall); 155 W maximum continuous rating; not yet measured by Prismatic PublishedFrom US$1,699; about US$2,699 with 64 GB (estimate from Apple configuration prices) Estimate~9.9 tokens/s EstimateNo: mains-powered desk computer; sits beside the machines
Jetson AGX Orin 64 GB · NVIDIA — Prismatic's greenfield hostWe make itRobot module: Prismatic's greenfield host64 GB Published204.8 GB/s PublishedUp to 275 TOPS; 2048-core Ampere GPU, 12-core Arm CPU15–60 W modes PublishedModule US$2,999 (1,000+ units); developer kit US$3,499 Published~6.6 tokens/s EstimateYes: built for robots; industrial version available
DGX Spark (GB10) · NVIDIADesk AI computer128 GB Published273 GB/s ReportedUp to 1 petaFLOP FP4; 20-core Grace CPUNot disclosed here Not disclosedUS$4,699 (after a February 2026 price rise, reported) Reported~8.8 tokens/s EstimateNo: desk computer
Dragonwing IQ10 · QualcommRobotics reference design64 GB PublishedNot disclosed Not disclosed700 TOPS (up to 2,000 with expansion); 18-core Oryon CPU12 V or 24 V input; -40 to 70 °C PublishedNot disclosed Not disclosedNot estimatedYes: for AMRs, industrial machines and humanoids
Jetson AGX Orin Industrial · NVIDIARugged robot module64 GB Published204.8 GB/s PublishedUp to 248 TOPS15–75 W ReportedUS$3,199 (1,000+ units) Published~6.6 tokens/s EstimateYes: wide temperature, vibration, extended life
Jetson T4000 (Thor family) · NVIDIARobot module64 GB PublishedNot disclosed Not disclosed1,200 FP4 TFLOPS (Blackwell)40–70 W ReportedUS$2,999 (1,000+ units) PublishedNot estimatedYes: for humanoids and advanced robots
Jetson T5000 (AGX Thor) · NVIDIARobot module128 GB Published273 GB/s Published2,070 FP4 TFLOPS; 14-core Neoverse-V3AE CPU40–130 W PublishedModule US$4,999 (1,000+ units); developer kit US$5,499 Published~8.8 tokens/s EstimateYes: built for humanoids
Ryzen AI Max+ 395 (mini PCs) · AMDMini PC chip (e.g. GMKtec EVO-X2)128 GB Published256 GB/s Reported16-core CPU; 40-CU RDNA 3.5 GPU; up to 96 GB to the GPUUp to ~120 W in performance modes (reported) ReportedAbout US$3,299 for 128 GB (GMKtec EVO-X2, reported) Reported~8.3 tokens/s EstimateNo: 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)

Sources: apple.com · macworld.com · promptquorum.com

Jetson AGX Orin 64 GBNVIDIA · Robot module: Prismatic's greenfield host

Our review. The proven robot module, used today inside cobots, tractors and AMRs, with a 15 W mode for battery life.

Gaps. Slowest memory here; an older (Ampere) generation.

Benchmark found: Runs 70B-class models at 4-bit per community reports; ~30B speed not published (reported)

Sources: developer.nvidia.com · thinkrobotics.com

DGX Spark (GB10)NVIDIA · Desk AI computer

Our review. Twice the memory of the others, for bigger models on a desk.

Gaps. Not a robot computer; the most expensive box here.

Benchmark found: Not published here

Sources: nvidia.com · notebookcheck.net

Dragonwing IQ10Qualcomm · Robotics reference design

Our review. A serious new robot platform with 64 GB ECC memory and rugged ratings; general availability September 2026.

Gaps. Memory bandwidth and large-model speed not published; model support for mid-size open models still arriving.

Benchmark found: Not published

Sources: docs.qualcomm.com · hothardware.com

Jetson AGX Orin IndustrialNVIDIA · Rugged robot module

Our review. The Orin for harsh machines: farms, mines, vehicles.

Gaps. Same memory speed as the Orin 64 GB.

Benchmark found: As Orin 64 GB

Sources: developer.nvidia.com · developer.nvidia.com

Jetson T4000 (Thor family)NVIDIA · Robot module

Our review. Blackwell-generation robot module with 64 GB at the Orin's module price.

Gaps. Higher minimum power (40 W); memory bandwidth not found.

Benchmark found: Not published

Sources: developer.nvidia.com · waveshare.com

Jetson T5000 (AGX Thor)NVIDIA · Robot module

Our review. The most powerful robot module: 128 GB and Blackwell, 7.5x Orin's AI compute.

Gaps. The most power-hungry module (40 W minimum) and the highest price.

Benchmark found: Qwen3 30B-A3B mixture-of-experts at 61 tokens/s in MLPerf (published by NVIDIA; a sparse model, not a dense 30B)

Sources: developer.nvidia.com · cnx-software.com · developer.nvidia.com

Ryzen AI Max+ 395 (mini PCs)AMD · Mini PC chip (e.g. GMKtec EVO-X2)

Our review. Lots of memory at a mini-PC price; strong community support.

Gaps. Not a robot computer; x86 mini PCs vary in build quality.

Benchmark found: ~31 tokens/s on a sparse 120B model (reported)

Sources: runaihome.com · layer3labs.io

The maker's view

Why Prismatic chose these two

  1. Mac mini M5 Pro 64 GB: the fastest memory here at the lowest price, for sites where the machines already exist.
  2. Jetson AGX Orin 64 GB: proven inside robots today, with a 15 W mode for batteries; the same family cobots and tractors already carry.
  3. Both run the same Prismatic software and model files; a mind moves between them.
  4. 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.

Watch the 8-minute filmSee the full pitchInvestor briefing: info@prismaticagents.com

What we could not verify

Memory bandwidth of the Jetson T4000 and Qualcomm IQ10; typical power of the Mac mini M5 Pro and DGX Spark under AI load.

About the companies and organisations

A quick introduction to the names on this page. Staff counts describe the stated organisation and reporting period; they are not live totals.

AMD

Designs computer processors and graphics chips for PCs, servers and AI systems. [1]

Based in
Santa Clara, California , U.S. [1]
Established
1969 [1]
Staff
c. 31,000 (Organisation-wide figure reported by the cited source; 2025) [1]
Key people
Lisa Su ( chair & CEO ); Mark Papermaster ( CTO ) [1]

Sources checked 2026-10-05. Profiles are current background, not a statement of who held a role on the article date.

Apple

Makes iPhones, Mac computers and other devices, along with their software and online services. [1]

Based in
Apple Park, Cupertino, California , US [1]
Established
1976 [1]
Staff
166,000 (Organisation-wide figure reported by the cited source; 2025) [1]
Key people
John Ternus, CEO; Tim Cook, executive chairman (roles effective September 1, 2026). [2]

Sources checked 2026-10-05. Profiles are current background, not a statement of who held a role on the article date.

Figure AI

Builds human-shaped robots intended to perform physical work. [1]

Based in
San Jose, California , U.S. [1]
Established
2022 [1]
Staff
Not yet verified.
Key people
Founder(s): Brett Adcock [1]

Sources checked 2026-10-05. Profiles are current background, not a statement of who held a role on the article date.

NVIDIA

Designs processors and software used for AI, graphics and large computing workloads. [1]

Based in
Santa Clara, California , U.S. [1]
Established
1993 [1]
Staff
Approximately 42,000 employees (NVIDIA worldwide; Fiscal year 2026) [2]
Key people
Jensen Huang ( president and CEO ); Bill Dally (chief scientist) [1]

Sources checked 2026-10-05. Profiles are current background, not a statement of who held a role on the article date.

Qualcomm

Designs chips and wireless technology used in phones, vehicles and other connected devices. [1]

Based in
San Diego , California , U.S. [1]
Established
1985 [1]
Staff
c. 52,000 (Organisation-wide figure reported by the cited source; 2025) [1]
Key people
Cristiano Amon ( CEO ); Mark D. McLaughlin ( chairman ) [1]

Sources checked 2026-10-05. Profiles are current background, not a statement of who held a role on the article date.