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NVIDIA RTX 6000 Ada 48GB
Runs downloadable LLMs up to ~71B at Q4, ~156.4-186.4 tok/s on an 8B model.
What you can run
At 8k context, FP16 KV. Full-speed tok/s holds up to "max ctx"; beyond it the context spills to system RAM (CPU/PCIe offload) and drops to the degraded figure.
| Model size | FP16 | Q8 | Q4 |
|---|---|---|---|
| 3B |
116.8-139.2 t/s ≤559k ctx · then ~4.9-5.8 (slow) |
233.6-278.4 t/s ≤605k ctx · then ~9.7-11.6 (slow) |
417.1-497.1 t/s ≤625k ctx · then ~17.4-20.7 (slow) |
| 7-8B |
43.8-52.2 t/s ≤203k ctx · then ~1.8-2.2 (slow) |
87.6-104.4 t/s ≤264k ctx · then ~3.7-4.4 (slow) |
156.4-186.4 t/s ≤291k ctx · then ~6.5-7.8 (slow) |
| 13B |
27-32.1 t/s ≤102k ctx · then ~1.1-1.3 (slow) |
53.9-64.2 t/s ≤181k ctx · then ~2.2-2.7 (slow) |
96.3-114.7 t/s ≤216k ctx · then ~4-4.8 (slow) |
| 32B | won't run |
21.9-26.1 t/s ≤41k ctx · then ~0.9-1.1 (slow) |
39.1-46.6 t/s ≤94k ctx · then ~1.6-1.9 (slow) |
| 70B | won't run | won't run |
17.9-21.3 t/s ≤11k ctx · then ~0.7-0.9 (slow) |
| 120B | won't run | won't run | won't run |
| 400B | won't run | won't run | won't run |
Estimate: tok/s ≈ bandwidth ÷ (params × bytes/param) × efficiency (NVIDIA). Cyan = fits ~44.2 GB usable. Beyond "ctx", KV spills to system RAM (CPU/PCIe offload) (rough degraded speed shown).
What else you need for a full build▶
Minimum supporting components for a desktop built around the NVIDIA RTX 6000 Ada 48GB. Guidance — exact needs depend on your case, other parts and how much you offload to system RAM.
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Videos about the NVIDIA RTX 6000 Ada 48GB
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About the NVIDIA RTX 6000 Ada 48GB
NVIDIA RTX 6000 Ada 48GB is a discrete GPU from NVIDIA on Ada Lovelace, 2022. For local genAI the numbers that matter are its 48 GB (how big a model + context fits) and 960 GB/s bandwidth (generation speed). Plan for a ~700W power supply.
Frequently asked questions
What size LLM can the NVIDIA RTX 6000 Ada 48GB run?▶
With ~44.2 GB usable it runs up to ~71B at Q4 (~20B at FP16) at 8k context. Bigger spills into system RAM (CPU/PCIe offload) and slows sharply.
How many tokens/sec does the NVIDIA RTX 6000 Ada 48GB generate?▶
Generation is bandwidth-bound. At 960 GB/s an 8B model at Q4 runs ~156.4-186.4 tok/s (estimate).
Why does long context slow it down?▶
The KV cache for the context must also fit fast memory; once weights+KV exceed 44.2 GB it spills to system RAM (CPU/PCIe offload) and throughput collapses. Each row shows the max usable context.
What else do I need to run the NVIDIA RTX 6000 Ada 48GB?▶
Besides the card: a ≥700W 80+ Gold power supply, at least 48GB of system RAM (2× the 48GB VRAM is ideal for CPU offload), a free PCIe x16 slot, any modern multi-core CPU, and a ≥1TB NVMe SSD for model weights.