2× RTX 3090 (used) 48 GB
Data checked: 2026-10-12. Review interval shown below. Prices need review after 30 days; specifications and benchmark collections after 90 days. Dates describe the recorded check, not a live retailer quote.
- Verified Checked against the primary source (for example the model’s config.json on Hugging Face).
- Sourced Taken from a cited source; not yet independently checked.
- Estimate Calculated with the published formulas; not a measurement.
- Sample Placeholder data for layout; not a real figure.
- Not yet measured No public, citable score found for this benchmark yet. We never fill the gap with a guess.
Verified metadata is not a measured performance result. Only cited runs matching model, device, quant and recorded context can replace speed estimates. Estimates assume one stream and F16 KV cache, with a ±25% uncertainty band. A published run applies only to its recorded runtime and conditions; missing settings are unknown.
Evidence labels · Freshness policy · Calculation methodology
Layer split adds capacity, not bandwidth, for a single stream (brief §7.3).
Decode-speed ceiling for a model is 936 GB/s ÷ GB read per token. For a 16.6 GB file that is 57 tok/s; real runtimes reach roughly 60% of it. Why bandwidth is the limit.
In builds: Dual-GPU 48 GB
See every model on this deviceSpecifications
Memory | 48 GBSourced2 × 24 GB (nvidia.com). Source |
|---|---|
Bandwidth | 936 GB/sSourcedPer card; layer split does not add bandwidth for a single stream. Source |
FP16 dense compute | 71 TFLOPSSampleSample FP16 dense compute; pending vendor-sheet citation. |
Host RAM (offload) | 128 GBSampleAssumed host RAM for offload. |
Vendor TDP / board power | 700 WSourced2 × 350 W Graphics Card Power, nvidia.com. Source |
Load power at wall | 780 WSampleSample wall power under load. |
Price, USD | $2,400Estimate2 × the eBay-sold median for a used RTX 3090 (≈US$1,200, Oct 2026); excludes the second-PSU/board upgrade. Source |
Price, CAD | CA$3,425EstimateUSD price × 1.4271 (Bank of Canada USD/CAD, 2026-10-09); no Canadian retail listing captured. Source |
Models that run
Default quant, single stream, 8k context. Fastest first; estimates are ±25% until measured.
Model | Quant | Memory | Verdict | Decode, tok/s | Max context |
|---|---|---|---|---|---|
| gpt-oss-20b | MXFP4 | 12.9 GB | Fits | 245.3Estimate | 128k |
| Qwen3 30B-A3B | Q4_K_M | 19.9 GB | Fits | 199.8Estimate | 32k |
| Llama 3.1 8B Instruct | Q4_K_M | 6.6 GB | Fits | 93.7Estimate | 128k |
| Qwen3 8B | Q4_K_M | 6.8 GB | Fits | 90.0Estimate | 32k |
| Qwen3 14B | Q4_K_M | 10.9 GB | Fits | 54.3Estimate | 32k |
| gpt-oss-120b | MXFP4 | 64.3 GB | Needs offload | 36.1Estimate | — |
| Mistral Small 3.2 24B | Q4_K_M | 16.2 GB | Fits | 35.8Estimate | 128k |
| Gemma 3 27B IT | Q4_K_M | 18.2 GB | Fits | 31.8Estimate | 128k |
| Qwen3 32B | Q4_K_M | 22.5 GB | Fits | 25.6Estimate | 32k |
| Llama 3.3 70B Instruct | Q4_K_M | 45.8 GB | Tight | 12.4Estimate | 8k |