Can Falcon 40B Instruct run on Gaudi 3 128GB?

YES — Runs Great

B70Good

○Estimated from fit model

Falcon 40B Instruct needs ~44.6 GB VRAM. Gaudi 3 128GB has 128.0 GB. With Q5_K_M quantization, expect ~100 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced

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) — 44.6 GB, 99.8 tok/s, Runs well

44.6 GB required128.0 GB available

35% VRAM used

Fit status

Runs well

Decode

99.8 tok/s

TTFT

1941 ms

Safe context

Memory

44.6 GB / 128.0 GB

Memory breakdown

Weights28.8 GB

KV Cache1.8 GB

Runtime1.2 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsFalcon 40B Instruct on Gaudi 3 128GB
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: 99.8 tok/s decode · 1.9s TTFT (warm) · 249 tok/s prefill

What limits this setup

The raw memory story may look fine, but the software ecosystem is still a constraint here.

Runtime ecosystem is narrower than CUDA

Intel GPUs can look attractive on memory per dollar, but local AI tooling, kernels, and model coverage are still broader and easier on CUDA today.

Best improvement path

Prefer CUDA if you want the path of least resistance

If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	B	Runs well	99.8 tok/s	1059 ms	8K
Coding	B	Runs well	99.8 tok/s	1941 ms	8K
Agentic Coding	A	Runs well	99.8 tok/s	2823 ms	8K
Reasoning	B	Runs well	99.8 tok/s	2294 ms	8K
RAG	A	Runs well	99.8 tok/s	3529 ms	8K

Quantization options

How Falcon 40B Instruct (40B params) fits at each quantization level on Gaudi 3 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	15.6 GB	Low	B59
Q3_K_S	3	19.6 GB	Low	B60
NVFP4	4	22.4 GB	Medium	B60
Q4_K_M	4	24.4 GB	Medium	B60
Q5_K_M	5	28.8 GB	High	B61
Q6_K	6	32.8 GB	High	B62
Q8_0	8	42.8 GB	Very High	B63
F16Best for your GPU	16	82.0 GB	Maximum	B68

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

Frequently asked questions

See all results for Gaudi 3 128GB See all hardware for Falcon 40B Instruct

URL: https://willitrunai.com/can-run/falcon-40b-instruct-on-gaudi-3-128gb

⇱ Falcon 40B Instruct on Gaudi 3 128GB? YES