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URL: https://willitrunai.com/can-run/falcon-40b-instruct-on-t4-16gb

⇱ Falcon 40B Instruct on NVIDIA T4 16GB? No — Alternatives

Can Falcon 40B Instruct run on NVIDIA T4 16GB?

NO — Won't Fit

F0Won't run
○Estimated from fit model

Falcon 40B Instruct needs ~33.4 GB but NVIDIA T4 16GB only has 16.0 GB. Try a smaller quantization or lighter model.

Runtime: OllamaCapacity: No fitBandwidth: LowStack: BasicBottleneck: Memory capacity
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) — 33.4 GB, exceeds 16.0 GB available
33.4 GB required16.0 GB available
209% VRAM needed

17.4 GB over capacity — needs offload or smaller quantization

Fit status

Too heavy

Decode

2.0 tok/s

TTFT

96800 ms

Safe context

4K

Memory

33.4 GB / 16.0 GB

Offload

50%

Memory breakdown

Weights28.8 GB
KV Cache1.8 GB
Runtime1.2 GB
Headroom1.6 GB

See how fast it feels

With memory offload — actual speed may be lower
See how fast it feelsFalcon 40B Instruct on NVIDIA T4 16GB
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: 2.0 tok/s decode · 96.8s TTFT (warm) · 5 tok/s prefill

What limits this setup

Usable VRAM is the main blocker for this model.

Not enough usable memory

The model needs 33.4 GB, but this setup only exposes 16.0 GB of usable VRAM.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Add more VRAM headroom

The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatFToo heavy2.0 tok/s52800 ms4K
CodingFToo heavy2.0 tok/s96800 ms4K
Agentic CodingFToo heavy2.0 tok/s140800 ms4K
ReasoningFToo heavy2.0 tok/s114400 ms4K
RAGFToo heavy2.0 tok/s176000 ms4K

Quantization options

How Falcon 40B Instruct (40B params) fits at each quantization level on NVIDIA T4 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
15.6 GB
LowF0
Q3_K_S
3
19.6 GB
LowF0
NVFP4
4
22.4 GB
MediumF0
Q4_K_M
4
24.4 GB
MediumF0
Q5_K_M
5
28.8 GB
HighF0
Q6_K
6
32.8 GB
HighF0
Q8_0
8
42.8 GB
Very HighF0
F16
16
82.0 GB
MaximumF0

Upgrade options

Hardware that runs Falcon 40B Instruct well

👁 NVIDIA
RTX 5090 32GBBest value
32 GB VRAM (+16)1792 GB/s (+1472)
B
Makes the model fit on the accelerator instead of staying completely out of reach.29.4 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 1370%.

~$1,999 MSRP

👁 NVIDIA
RTX PRO 4500 Blackwell 32GBNVIDIA upgrade
32 GB VRAM (+16)896 GB/s (+576)
B
Makes the model fit on the accelerator instead of staying completely out of reach.18.4 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 820%.

~$2,499 MSRP

👁 NVIDIA
RTX A6000 48GBBudget pick
48 GB VRAM (+32)768 GB/s (+448)
A
Makes the model fit on the accelerator instead of staying completely out of reach.22.5 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$4,650 MSRP

Frequently asked questions

See all results for NVIDIA T4 16GBSee all hardware for Falcon 40B Instruct