Will It Run AI

Can Yi 1.5 34B run on Gaudi 3 128GB?

YES — Runs Great

B61Good
Estimated from fit model

Yi 1.5 34B needs ~38.1 GB VRAM. Gaudi 3 128GB has 128.0 GB. With Q4_K_M quantization, expect ~136 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
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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

Q4_K_M (Medium quality) — 38.1 GB, 135.6 tok/s, Runs well
38.1 GB required128.0 GB available
30% VRAM used

Fit status

Runs well

Decode

135.6 tok/s

TTFT

1428 ms

Safe context

4K

Memory

38.1 GB / 128.0 GB

Memory breakdown

Weights20.7 GB
KV Cache3.7 GB
Runtime0.9 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelsYi 1.5 34B 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: 135.6 tok/s decode · 1.4s TTFT (warm) · 339 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

WorkloadGradeFitDecodeTTFTContext
ChatBRuns well135.6 tok/s779 ms4K
CodingBRuns well135.6 tok/s1428 ms4K
Agentic CodingBRuns well135.6 tok/s2077 ms4K
ReasoningBRuns well135.6 tok/s1688 ms4K
RAGBRuns well135.6 tok/s2596 ms4K

Quantization options

How Yi 1.5 34B (34B params) fits at each quantization level on Gaudi 3 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
13.3 GB
LowC51
Q3_K_S
3
16.7 GB
LowC51
NVFP4
4
19.0 GB
MediumC52
Q4_K_M
4
20.7 GB
MediumC52
Q5_K_M
5
24.5 GB
HighC52
Q6_K
6
27.9 GB
HighC53
Q8_0
8
36.4 GB
Very HighC54
F16Best for your GPU
16
69.7 GB
MaximumB60

Get started

Copy-paste commands to run Yi 1.5 34B on your machine.

Run

lms load Yi-1.5-34B-Chat && lms server start

Frequently asked questions

Can Gaudi 3 128GB run Yi 1.5 34B?

Yes, Gaudi 3 128GB can run Yi 1.5 34B with a B grade (Runs well). Expected decode speed: 135.6 tok/s.

How much VRAM does Yi 1.5 34B need?

Yi 1.5 34B (34B parameters) requires approximately 38.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Yi 1.5 34B?

The recommended quantization for Yi 1.5 34B is Q4_K_M, which balances quality and memory efficiency.

What speed will Yi 1.5 34B run at on Gaudi 3 128GB?

On Gaudi 3 128GB, Yi 1.5 34B achieves approximately 135.6 tokens per second decode speed with a time-to-first-token of 1428ms using Q4_K_M quantization.

Can Gaudi 3 128GB run Yi 1.5 34B for coding?

For coding workloads, Yi 1.5 34B on Gaudi 3 128GB receives a B grade with 135.6 tok/s and 4K context.

What context window can Yi 1.5 34B use on Gaudi 3 128GB?

On Gaudi 3 128GB, Yi 1.5 34B can safely use up to 4K tokens of context. The model's official context limit is 4K, but available memory constrains the safe maximum.

What should I upgrade first if Yi 1.5 34B feels slow on Gaudi 3 128GB?

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.

Would CUDA be a better path than Gaudi 3 128GB for Yi 1.5 34B?

Often yes, if your goal is the easiest setup and the widest runtime support. Intel can offer attractive memory capacity, but CUDA still tends to win on tooling maturity, guides, kernels, and model coverage for local AI.

See all results for Gaudi 3 128GBSee all hardware for Yi 1.5 34B
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