~/gpu/rtx-5080 vs rtx-5090

RTX 5080 manufacturerRTX 5080vsRTX 5090 manufacturerRTX 5090

Head-to-head for local LLM inference. The honest comparison: VRAM, bandwidth, compute, and which of the 30 catalog models actually fit on each.

The specs.

$ diff specs rtx-5080 rtx-5090
Stat
rtx-5080
rtx-5090
Δ
VRAM
16 GB
32 GB
+100%
Memory bandwidth
960 GB/s
1,792 GB/s
+87%
FP16 compute
565 TFLOPS
838 TFLOPS
+48%
Weights budget at 8K ctx
12 GB
25 GB
+108%

Model fit difference.

$ models that change with the card
Fits on both
16of 30
Only on rtx-5080
0
Only on rtx-5090
6

// showing 12 of 30 models; differing fits first

Model
rtx-5080
rtx-5090
Qwen 2.5 32B32.5B
overQ4_K_M
fitsQ5_K_M
Qwen 2.5 Coder 32B32.5B
overQ4_K_M
fitsQ5_K_M
Qwen3 30B A3B30.5B
overQ4_K_M
fitsQ5_K_M
Qwen 3.6 35B A3B35B
overQ4_K_M
fitsQ5_K_M
Mixtral 8x7B46.7B
overQ4_K_M
fitsAWQ 4-BIT
Yi 34B34B
overQ4_K_M
fitsQ5_K_M
Llama 3.2 1B1.23B
fitsFP16/BF16
fitsFP16/BF16
Llama 3.2 3B3.21B
fitsFP16/BF16
fitsFP16/BF16
Llama 3.1 8B8B
fitsQ8_0
fitsFP16/BF16
Llama 3.3 70B70.6B
overQ4_K_M
overQ4_K_M
Llama 3.1 405B405B
overQ4_K_M
overQ4_K_M
Qwen 2.5 7B7B
fitsQ8_0
fitsFP16/BF16

Which one wins for…

$ ./recommend --by-workload
More VRAM headroom

RTX 5090 has 16 GB more.

Faster decode (bandwidth)

RTX 5090 by +87%.

Faster prefill (compute)

RTX 5090 by +48% TFLOPS.

Catalog models that fit

RTX 5090: 22 fit · RTX 5080: 16.

Drill into either card.

$ ./vrambudget --gpu
$ openRTX 508016GBblackwell$ openRTX 509032GBblackwell · flagship

Discussion.

$ gh discussion list

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