AMD Radeon RX 7900 XTX
Hacker ApprovedShares rank 18 of 42 graphics cards by recommenders
Recommended for 24GB of memory at a low price for local models and gaming. Critics say its software support lags behind Nvidia's CUDA.
Recommended for 24GB of memory at a low price for local models and gaming. Critics say its software support lags behind Nvidia's CUDA.
18 people gave an opinion
- recommend it
- 12
- criticize it
- 6
- approval share
- 67%
Recommended in 9 of 13 months
- November 2025: recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: 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)
Owned for 2 years
Median of the 5 owners who said how long they have had it.
Each square is one year.
Why it carries the badge
- 12 people recommend itNeeds 10 or more, met.
- 2 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 9 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
Runs local LLMs well
“comfortably able to fit on a 7900XTX with a good amount of space left for context”
Comment from 14 Sep 2026 in “Astra and Fable still hack on simple variants of alignment evals from 2025” “I had no clue it would actually be a pretty decent LLM card 3-4 years later.”
Comment from 15 Jun 2026 in “Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?” “My 7900XTX is supported, I run local models via rocm all the time recently”
Comment from 14 Sep 2026 in “CUDA for AMD on Windows” - Comment from 10 Jun 2026 in “If Claude Fable stops helping you, you'll never know”
24GB memory fits larger models
“I ended up swapping for the XTX because that 4GB means everything in just increasing the context window.”
Comment from 18 Sep 2026 in “Bonsai 2 27B: Near-Lossless Compression in a 9x Smaller Footprint” “comfortably able to fit on a 7900XTX with a good amount of space left for context”
Comment from 14 Sep 2026 in “Astra and Fable still hack on simple variants of alignment evals from 2025” “the 7900 xtx is still the most cost effective way of getting 24 gigabytes”
Comment from 8 Dec 2025 in “AMD GPU Debugger” Good value for 24GB
“the 7900 xtx is still the most cost effective way of getting 24 gigabytes”
Comment from 8 Dec 2025 in “AMD GPU Debugger” “for under £1,000 now seems like a bargain”
Comment from 25 Aug 2026 in “Apple introduces M6 and M5 Ultra” Runs very well overall
“It runs amazingly well on my PC with a 7900xtx.”
Comment from 17 Jun 2026 in “Running local models is good now” “it has been and is a stellar card for gaming”
Comment from 12 Sep 2026 in “Nvidia is the central bank of AI”
What people warn about
Each mark is one comment
Slow at 64-bit integer math
“I said there is no fuckin way a 7900XTX is only good for 0.5 TOPS when working with 64 bit integers.”
Comment from 19 Jul 2026 in “Mathematicians still don't know the fastest way to multiply numbers” “A 7900XTX barely gets 0.5 TOPS of u/i64 naively w/ hip-direct”
Comment from 15 Aug 2026 in “Google Is Making Private AI Practical with Homomorphic Encryption” Nvidia better for CUDA
“You'd be much better off wiht any decent nVidia against the 7900 series.”
Comment from 8 Dec 2025 in “AMD GPU Debugger” “I actually switched from a 7900 XTX to a 4090 BITD because I wanted CUDA”
Comment from 28 Jan 2026 in “Microsoft forced me to switch to Linux” Software support often breaks
“I had issues with rocm (iirc I was getting kernel oopses due to GPU OOMs) when running LLMs”
Comment from 8 Dec 2025 in “AMD GPU Debugger” “in reality most things don't run”
Comment from 8 May 2026 in “DeepSeek 4 Flash local inference engine for Metal” Owners regret the purchase
“Owning a 7900XTX is an embarrassing disappointment.”
Comment from 2 Apr 2026 in “Lemonade by AMD: a fast and open source local LLM server using GPU and NPU” “Really regret spending so much on an AMD gpu.”
Comment from 22 May 2026 in “Was my $48K GPU server worth it?”
Other graphics cards people recommend
The four most recommended other graphics cards, 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 GeForce RTX 3090 | 116 | 21 | 85% | 12 | 5 yrs14 owners | Approved |
| NVIDIA GeForce RTX 5090 | 102 | 37 | 73% | 12 | 1 yr3 owners | Approved |
| NVIDIA RTX PRO 6000 | 77 | 26 | 75% | 12 | — | Approved |
| Nvidia GPUs | 67 | 67 | 50% | 11 | 6 yrs3 owners | — |
| AMD Radeon RX 7900 XTXThis page | 12 | 6 | 67% | 9 | 2 yrs5 owners | Approved |
What people said
22 of the 25 comments that mention it, newest first. Each links to the original comment.
“I ended up swapping for the XTX because that 4GB means everything in just increasing the context window.”
“My 7900XTX is supported, I run local models via rocm all the time recently”
“comfortably able to fit on a 7900XTX with a good amount of space left for context”
“it has been and is a stellar card for gaming”
“The only thing I can point to slowing me down is bandwidth of the card itself.”
“for under £1,000 now seems like a bargain”
“A 7900XTX barely gets 0.5 TOPS of u/i64 naively w/ hip-direct”
“I said there is no fuckin way a 7900XTX is only good for 0.5 TOPS when working with 64 bit integers.”
“It runs amazingly well on my PC with a 7900xtx.”
“I had no clue it would actually be a pretty decent LLM card 3-4 years later.”
“it runs gemma and qwen pretty well”
“Really regret spending so much on an AMD gpu.”
“in reality most things don't run”
“I had quite a few on my 7900XTX with llama.cpp”
“Owning a 7900XTX is an embarrassing disappointment.”
“haven't had a single problem that was ROCm specific that I can think of”
“I actually switched from a 7900 XTX to a 4090 BITD because I wanted CUDA”
“I'd throw a 7900xtx in an AM4 rig with 128gb of ddr4 (which is what I've been using for the past two years)”
“the 7900 xtx is still the most cost effective way of getting 24 gigabytes”
“I had issues with rocm (iirc I was getting kernel oopses due to GPU OOMs) when running LLMs”
“You'd be much better off wiht any decent nVidia against the 7900 series.”
“I have a 7900XTX I like it a great deal”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.