NV NVIDIA SME Discrete GPU

NVIDIA L40S 48GB

Runs downloadable LLMs up to ~71B at Q4, ~140.8-167.8 tok/s on an 8B model.

NVIDIA L40S 48GB
48GB
VRAM
864
GB/s bandwidth
71B
Max model (Q4)
$10,000
MSRP

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 sizeFP16Q8Q4
3B 105.1-125.3 t/s
≤559k ctx · then ~4.9-5.8 (slow)
210.2-250.6 t/s
≤605k ctx · then ~9.7-11.6 (slow)
375.4-447.4 t/s
≤625k ctx · then ~17.4-20.7 (slow)
7-8B 39.4-47 t/s
≤203k ctx · then ~1.8-2.2 (slow)
78.8-94 t/s
≤264k ctx · then ~3.7-4.4 (slow)
140.8-167.8 t/s
≤291k ctx · then ~6.5-7.8 (slow)
13B 24.3-28.9 t/s
≤102k ctx · then ~1.1-1.3 (slow)
48.5-57.8 t/s
≤181k ctx · then ~2.2-2.7 (slow)
86.6-103.3 t/s
≤216k ctx · then ~4-4.8 (slow)
32B won't run 19.7-23.5 t/s
≤41k ctx · then ~0.9-1.1 (slow)
35.2-41.9 t/s
≤94k ctx · then ~1.6-1.9 (slow)
70B won't run won't run 16.1-19.2 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 L40S 48GB. Guidance — exact needs depend on your case, other parts and how much you offload to system RAM.

Power supply
≥ 750W · 80+ Gold
Headroom over the 350W card plus the rest of the build.
System RAM
≥ 64 GB · 128 GB recommended
At least the 48 GB of VRAM; 2× lets you CPU-offload models larger than VRAM.
Motherboard
1× free PCIe x16 slot (4.0/5.0)
A full-length x16 electrical slot; PCIe 4.0 is ample, 5.0 future-proofs.
CPU
Any modern multi-core
The GPU runs inference; more cores and memory channels only matter when offloading to RAM.
Storage
≥ 1 TB NVMe SSD
Weights are large — a 70B model at Q4 is ~40 GB; budget for a few.
PSU connector
12V-2×6 / 12VHPWR (or 3× 8-pin)
High-power NVIDIA cards use the 16-pin 12V-2×6 power connector.

Run popular models on the NVIDIA L40S 48GB

More hardware like the NVIDIA L40S 48GB

About the NVIDIA L40S 48GB

NVIDIA L40S 48GB is a discrete GPU from NVIDIA on Ada Lovelace, 2023. For local genAI the numbers that matter are its 48 GB (how big a model + context fits) and 864 GB/s bandwidth (generation speed). Plan for a ~750W power supply.

Frequently asked questions

What size LLM can the NVIDIA L40S 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 L40S 48GB generate?

Generation is bandwidth-bound. At 864 GB/s an 8B model at Q4 runs ~140.8-167.8 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 L40S 48GB?

Besides the card: a ≥750W 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.