Will It Run AI

Can Falcon 40B Instruct run on RTX 6000 Ada 48GB?

YES — Runs Great

A74Great
Estimated from fit model

Falcon 40B Instruct needs ~36.6 GB VRAM. RTX 6000 Ada 48GB has 48.0 GB. With Q5_K_M quantization, expect ~30 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced
Share:

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q5_K_M (High quality) 36.6 GB, 30.3 tok/s, Runs well
36.6 GB required48.0 GB available
76% VRAM used

Fit status

Runs well

Decode

30.3 tok/s

TTFT

6385 ms

Safe context

8K

Memory

36.6 GB / 48.0 GB

Memory breakdown

Weights28.8 GB
KV Cache1.8 GB
Runtime1.2 GB
Headroom4.8 GB

See how fast it feels

See how fast it feelsFalcon 40B Instruct on RTX 6000 Ada 48GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 30.3 tok/s decode · 6.4s TTFT (warm) · 76 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatARuns well30.3 tok/s3483 ms8K
CodingARuns well30.3 tok/s6385 ms8K
Agentic CodingARuns well30.3 tok/s9288 ms8K
ReasoningARuns well30.3 tok/s7546 ms8K
RAGARuns well30.3 tok/s11610 ms8K

Quantization options

How Falcon 40B Instruct (40B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
15.6 GB
LowB66
Q3_K_S
3
19.6 GB
LowB67
NVFP4
4
22.4 GB
MediumB68
Q4_K_M
4
24.4 GB
MediumB69
Q5_K_M
5
28.8 GB
HighB69
Q6_KBest for your GPU
6
32.8 GB
HighB68
Q8_0
8
42.8 GB
Very HighF0
F16
16
82.0 GB
MaximumF0

Get started

Copy-paste commands to run Falcon 40B Instruct on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "tiiuae/falcon-40b-instruct" \ --hf-file "falcon-40b-instruct-Q5_K_M.gguf" \ -c 4096 -ngl 99

Your hardware

More models your RTX 6000 Ada 48GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen 2.5 VL 72B72BA11.1 tok/s
AlibabaQwen3-Coder-Next80BA28.5 tok/s
MetaLlama 3.3 70B70BA11.9 tok/s
Moonshot AIKimi Linear 48B A3B48BS26.9 tok/s
MetaLlama 3.1 70B70BB11.9 tok/s

Frequently asked questions

Can RTX 6000 Ada 48GB run Falcon 40B Instruct?

Yes, RTX 6000 Ada 48GB can run Falcon 40B Instruct with a A grade (Runs well). Expected decode speed: 30.3 tok/s.

How much VRAM does Falcon 40B Instruct need?

Falcon 40B Instruct (40B parameters) requires approximately 36.6 GB of memory with Q5_K_M quantization.

What is the best quantization for Falcon 40B Instruct?

The recommended quantization for Falcon 40B Instruct is Q5_K_M, which balances quality and memory efficiency.

What speed will Falcon 40B Instruct run at on RTX 6000 Ada 48GB?

On RTX 6000 Ada 48GB, Falcon 40B Instruct achieves approximately 30.3 tokens per second decode speed with a time-to-first-token of 6385ms using Q5_K_M quantization.

Can RTX 6000 Ada 48GB run Falcon 40B Instruct for coding?

For coding workloads, Falcon 40B Instruct on RTX 6000 Ada 48GB receives a A grade with 30.3 tok/s and 8K context.

What context window can Falcon 40B Instruct use on RTX 6000 Ada 48GB?

On RTX 6000 Ada 48GB, Falcon 40B Instruct can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.

See all results for RTX 6000 Ada 48GBSee all hardware for Falcon 40B Instruct
Embed this result

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/falcon-40b-instruct-on-rtx-6000-ada-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: