Mac Studio M3 Ultra 256GBコスパ重視
256 GB Unified (+128)
B
Adds memory headroom for longer context windows and future model growth.101.4 tok/sデコード
Adds memory headroom for longer context windows and future model growth.
〜$6,999 MSRP
Can Nous Hermes 1.0 run on Gaudi 3 128GB?
YES — Runs Great
B68Good
Estimated from fit model
Nous Hermes 1.0 needs ~31.4 GB VRAM. Gaudi 3 128GB has 128.0 GB. With Q4_K_M quantization, expect ~126 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: 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.
Select quantization to explore
Q4_K_M (Medium quality) — 31.4 GB, 126.0 tok/s, Runs well
31.4 GB required128.0 GB available
25% VRAM used
Fit status
Runs well
Decode
126.0 tok/s
TTFT
1537 ms
Safe context
16K
Memory
31.4 GB / 128.0 GB
Memory breakdown
Weights5.5 GB
KV Cache12.2 GB
Runtime0.9 GB
Headroom12.8 GB
See how fast it feels
See how fast it feelsNous Hermes 1.0 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: 126.0 tok/s decode · 1.5s TTFT (warm) · 315 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 | 126.0 tok/s | 838 ms | 16K |
| Coding | B | Runs well | 126.0 tok/s | 1537 ms | 16K |
| Agentic Coding | B | Runs well | 126.0 tok/s | 2235 ms | 16K |
| Reasoning | B | Runs well | 126.0 tok/s | 1816 ms | 16K |
| RAG | B | Runs well | 126.0 tok/s | 2794 ms | 16K |
Quantization options
How Nous Hermes 1.0 (9B params) fits at each quantization level on Gaudi 3 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B59 |
Q3_K_S | 3 | 4.4 GB | Low | B59 |
NVFP4 | 4 | 5.0 GB | Medium | B59 |
Q4_K_M | 4 | 5.5 GB | Medium | B59 |
Q5_K_M | 5 | 6.5 GB | High | B59 |
Q6_K | 6 | 7.4 GB | High | B59 |
Q8_0 | 8 | 9.6 GB | Very High | B59 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | B60 |
Get started
Copy-paste commands to run Nous Hermes 1.0 on your machine.
Run
lms load Nous-Hermes-1.0 && lms server startアップグレードオプション
Nous Hermes 1.0を快適に動かすハードウェア
Frequently asked questions
Can Gaudi 3 128GB run Nous Hermes 1.0?
Yes, Gaudi 3 128GB can run Nous Hermes 1.0 with a B grade (Runs well). Expected decode speed: 126.0 tok/s.
How much VRAM does Nous Hermes 1.0 need?
Nous Hermes 1.0 (9B parameters) requires approximately 31.4 GB of memory with Q4_K_M quantization.
What is the best quantization for Nous Hermes 1.0?
The recommended quantization for Nous Hermes 1.0 is Q4_K_M, which balances quality and memory efficiency.
What speed will Nous Hermes 1.0 run at on Gaudi 3 128GB?
On Gaudi 3 128GB, Nous Hermes 1.0 achieves approximately 126.0 tokens per second decode speed with a time-to-first-token of 1537ms using Q4_K_M quantization.
Can Gaudi 3 128GB run Nous Hermes 1.0 for coding?
For coding workloads, Nous Hermes 1.0 on Gaudi 3 128GB receives a B grade with 126.0 tok/s and 16K context.
What context window can Nous Hermes 1.0 use on Gaudi 3 128GB?
On Gaudi 3 128GB, Nous Hermes 1.0 can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.
What should I upgrade first if Nous Hermes 1.0 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 Nous Hermes 1.0?
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.
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<iframe src="https://willitrunai.com/embed/nous-hermes-1.0-on-gaudi-3-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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