NVIDIA GB300
Shares rank 6 of 11 datacenter GPUs by recommenders
People recommend it for high-end compute such as CGI rendering and say it is a decade ahead of competitors. Critics say it is expensive, around $100k, and hard to deploy.
People recommend it for high-end compute such as CGI rendering and say it is a decade ahead of competitors. Critics say it is expensive, around $100k, and hard to deploy.
10 people gave an opinion
- recommend it
- 9
- criticize it
- 1
- approval share
- 90%
Recommended in 5 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 9 people recommend itNeeds 10 or more, not met.
- 9 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
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Strong performance for compute
“High-end "compute" optimised GPUs from NVIDIA like the GB300 are actually quite good at CGI rendering”
Comment from 22 Aug 2026 in “The Real AI Crash Will Start This Year” “They are easily a decade ahead of viable competition.”
Comment from 20 Oct 2026 in “Google open-sources TorchTPU, a native PyTorch back end for TPUs” “That's a majorly impressive computer.”
Comment from 27 Jun 2026 in “Ask HN: MacBook vs. Dedicated GPU for LLM”
What people warn about
Each mark is one comment
Expensive at about $100k
“GB300 seem expensive in comparison at ~$100k.”
Comment from 14 Sep 2026 in “HP ZGX Fury Is Now Orderable: GB300 Superchip, 748GB Unified Memory”
Other datacenter GPUs people recommend
The four most recommended other datacenter GPUs, 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 |
|---|---|---|---|---|---|---|
| NVIDIA H100 | 20 | 16 | 56% | 11 | — | — |
| NVIDIA Tesla V100 | 16 | 4 | 80% | 8 | — | Approved |
| AMD Instinct MI355X | 14 | 5 | 74% | 7 | — | Approved |
| Nvidia A100 | 10 | 4 | 71% | 8 | — | Approved |
| NVIDIA GB300This page | 9 | 1 | 90% | 5 | — | — |
What people said
9 of the 10 comments that mention it, newest first. Each links to the original comment.
“They are easily a decade ahead of viable competition.”
“Newer gen nvidia gpu's like GB300 are way more profitable.”
“Plus lower peak power draw”
“GB300 seem expensive in comparison at ~$100k.”
“I hear that's improved somewhat from GB200 to GB300”
“High-end "compute" optimised GPUs from NVIDIA like the GB300 are actually quite good at CGI rendering”
“this model provides the first solid footing for a decision to just buy a rack”
“it's difficult to deploy and very expensive”
“That's a majorly impressive computer.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.