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NVIDIA GeForce RTX 5060 Discrete 8G GDDR7

Factory graphics option · 8 GB · catalogue identifier rtx-5060-8gb · last updated 2026-09-24

2 desktops in this database carry a verdict for the NVIDIA GeForce RTX 5060 Discrete 8G GDDR7: 2 fit. Fits without conditions: the HP Elite Tower 800 G9 and Lenovo ThinkCentre M90t Gen 5. The largest listed model its 8 GB holds at 32k context is Qwen3 4B (Q4_K_M, needs 7.9 GiB). Estimated

This is a factory option, not a card you can buy. A computer manufacturer lists it in its own specification sheet for a machine, exactly as “NVIDIA GeForce RTX 5060 Discrete 8G GDDR7”. The published specifications therefore record a card of this class as a factory option for that machine, but no card-level specification is published for the option itself, so this page carries no dimensions, no board power, no connector, and no purchase link.

We have not physically tested this combination. Data is compiled from official specification sheets and cited sources.

Card memory: 8 GB · E Source for this figure not recorded per field; see record sources

Desktops whose verdicts reference this option

This card has been assessed against 2 desktops in this database. Each verdict is a statement about published specifications, not about a tested combination.

  • ✓ Fits: 2
  • △ Fits with conditions: 0
  • ✕ Does not fit: 0
  • ? Unverified: 0

Conditions shared by the desktops below. Each is stated once here. They come from this card's own records, or are worded the same for more than one desktop. A desktop listed below names the ones it carries by number; the figures particular to that desktop are on its own page.

  1. The manufacturer offers this card as a factory configuration for this model, so the chassis, the bracket and the supply are established by that shipping fact — for this model alone. The manufacturer's specification sheet gives no dimensions and no power draw for the card on its own, so the coverage requirement does not apply to it. (2 desktops)

✓ Fits 2 desktops:

Verify with the manufacturer before purchasing.

What each verdict means. Every one of them is a statement about published specifications.
VerdictMeaning
✓ Fits Published specifications show no physical or electrical conflict.
△ Fits with conditions Published specifications allow it only under the stated conditions.
✕ Does not fit Published specifications rule the combination out: the card needs a connector the machine does not have, draws more than the supply provides, or is physically too large. It is a statement about specifications, not a report of a failed attempt.
? Unverified There is not enough evidence to say.

A dashed Estimated badge at the start of a line marks every verdict on that line as published as an estimate, and the grade beside it applies to each of them. The document behind each verdict, and the desktop's own figures, are listed on the desktop's own page. This card has a verdict for 2 of the 82 desktops in this database; the remaining 80 have not been assessed against it, which is not the same as them being ruled out.

Local language models this card's memory holds

Arithmetic shared by the models below. Sentences that read the same for more than one model are stated once here; each row names the ones it carries by number.

  1. This outcome is no stronger than the figures it was calculated from: this card's memory size is recorded here from material whose source the record does not identify, so grade E is shown alongside B. (6 rows)
Calculated from the published file size and the model architecture.
ModelOutcome Needs at 32k contextThe arithmetic Confidence
Qwen3 4B Q4_K_M ✓ Fits in VRAM Estimated 7.9 GiB 8 GB of memory is at least the 7.9 GB required at a context length of 32,768 tokens. [1] BE
Qwen3 1.7B Q4_K_M ✓ Fits in VRAM Estimated 5.6 GiB 8 GB of memory is at least the 5.6 GB required at a context length of 32,768 tokens. [1] BE
Qwen3 0.6B Q4_K_M ✓ Fits in VRAM Estimated 4.9 GiB 8 GB of memory is at least the 4.9 GB required at a context length of 32,768 tokens. [1] BE
Gemma 3 4B Q4_0 (QAT) ✓ Fits in VRAM Estimated 4.7 GiB 8 GB of memory is at least the 4.7 GB required at a context length of 32,768 tokens. [1] BE
Qwen3 8B Q4_K_M △ Fits at short context only Estimated 10.2 GiB 8 GB of memory covers the 6.3 GB required at a context length of 4,096 tokens, but not the 10.2 GB required at 32,768 tokens. [1] BE
Llama 3.1 8B Q4_K_M △ Fits at short context only Estimated 9.6 GiB 8 GB of memory covers the 6.1 GB required at a context length of 4,096 tokens, but not the 9.6 GB required at 32,768 tokens. [1] BE

✕ Exceeds VRAM 12 models need more memory at 32k context than this card has, 12 of them published as an estimate. The arithmetic for each is on the model's own page.

Exceeds VRAM does not mean the model will not run: inference software can keep part of a model in system memory. How fast that is, and whether it is pleasant to use, is outside what this site measures. The sizing rule and its constants are on the Methodology page.

Cards whose published memory size is the same, so the local-model outcomes on this page apply to them as well. Whether a given desktop accepts them is a separate question, answered on each card's own page.

Sources

Every document this page draws on, with the date it was read.
DocumentPublisherKindRead on
HP Elite Tower 800 G9/CT later configuration, Japanese-market specification sheet
Manufacturer document held by the operator; no stable public link. 		— Manufacturer official documentation 2026-09-21

We have not physically tested this combination. Data is compiled from official specification sheets and cited sources. Verify with the manufacturer before purchasing.