NVIDIA Jetson Thor
Shares rank 11 of 14 single-board computers by recommenders
People recommend it for its capable FP4 tensor cores and strength at running and training LLMs. The most common caveat is that its memory bandwidth is half that of an M4 Max, and it is hard to buy.
People recommend it for its capable FP4 tensor cores and strength at running and training LLMs. The most common caveat is that its memory bandwidth is half that of an M4 Max, and it is hard to buy.
8 people gave an opinion
- recommend it
- 6
- criticize it
- 2
- approval share
- 75%
Recommended in 5 of 13 months
- November 2025: not recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: not recommended
- March 2026: recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: recommended
- August 2026: not recommended
- September 2026: recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 6 people recommend itNeeds 10 or more, not met.
- 3 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 5 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
Other single-board computers people recommend
The four most recommended other single-board computers, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Raspberry Pi | 425 | 277 | 61% | 12 | 5.5 yrs35 owners | — |
| Raspberry Pi Zero | 77 | 23 | 77% | 12 | 8 yrs6 owners | Approved |
| NVIDIA Jetson | 28 | 21 | 57% | 12 | — | — |
| Orange Pi 6 Plus | 18 | 30 | 38% | 5 | — | — |
| NVIDIA Jetson ThorThis page | 6 | 2 | 75% | 5 | — | — |
What people said
8 of the 9 comments that mention it, newest first. Each links to the original comment.
“With things like the NVIDIA Jetson Thor, the startup robot scene will be accelerated.”
“The Jetson Thor lines are 3-5k depending on memory etc.”
“good luck getting your hands on that”
“would probably be the ultimate platform for this”
“the key advantage over Apple Silicon is its capable FP4 tensor cores, which do indeed help with prefill. However, it also has half the memory bandwidth of an M4 Max”
“It's quite capable in running or training smart LLMs”
“I have no reason to think this would be different with the Orin and Thor series”
“it still didn't seem ideal”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.