Would CUDA be a better path than Gaudi 3 128GB for Solar Open 69B REAP i1?

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.

Can Solar Open 69B REAP i1 run on Gaudi 3 128GB?

Q: What should I upgrade first if Solar Open 69B REAP i1 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.

YES — Runs Great

C51Usable

Estimated from fit model

Solar Open 69B REAP i1 needs ~63.9 GB VRAM. Gaudi 3 128GB has 128.0 GB. With Q4_K_M quantization, expect ~62 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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 63.9 GB, 61.5 tok/s, Runs well

63.9 GB required128.0 GB available

50% VRAM used

Fit status

Runs well

Decode

61.5 tok/s

TTFT

3146 ms

Safe context

143K

Memory

63.9 GB / 128.0 GB

Memory breakdown

Weights42.1 GB

KV Cache8.1 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsSolar Open 69B REAP i1 on Gaudi 3 128GB
1st promptCold start — includes initialization
>What is local AI inference?
Local AI inference means running an AI language model directly on your own hardware — your laptop, desktop, or server — instead of sending requests to a remote cloud API.

When you run inference locally the model weights are loaded into your GPU or unified memory. Each token you generate requires reading those weights from memory, so memory bandwidth is the main bottleneck for decode speed.

Key benefits of running locally:
  - Full privacy: your prompts never leave your machine
  - No per-token cost or rate limits
  - Works offline once the model is downloaded
  - Latency depends only on your hardware
2nd promptWarm — model ready, no init overhead
>How much VRAM do I need?
It depends on the model size and quantization level. A rough rule of thumb:

  Model size     Q4 (4-bit)    Q8 (8-bit)    FP16
  7B params      ~4.3 GB       ~7.5 GB       ~14 GB
  13B params     ~7.9 GB       ~13.9 GB      ~26 GB
  70B params     ~42.7 GB      ~74.9 GB      ~140 GB

Most people use 4-bit quantization (Q4_K_M) which gives 90-95% of full quality at a fraction of the memory. A 24 GB GPU can comfortably run most 7B-13B models.
Estimated: 61.5 tok/s decode · 3.1s TTFT (warm) · 154 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	C	Runs well	61.5 tok/s	1716 ms	143K
Coding	C	Runs well	61.5 tok/s	3146 ms	143K
Agentic Coding	C	Runs well	61.5 tok/s	4576 ms	143K
Reasoning	C	Runs well	61.5 tok/s	3718 ms	143K
RAG	C	Runs well	61.5 tok/s	5720 ms	143K

Quantization options

How Solar Open 69B REAP i1 (69B params) fits at each quantization level on Gaudi 3 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	26.9 GB	Low	C40
Q3_K_S	3	33.8 GB	Low	C41
NVFP4	4

Get started

Copy-paste commands to run Solar Open 69B REAP i1 on your machine.

Run

lms load hf-mradermacher--solar-open-69b-reap-i1-gguf && lms server start

Upgrade options

Hardware that runs Solar Open 69B REAP i1 well

NVIDIA H200 141GBBudget pick

141 GB VRAM (+13)4800 GB/s (+1100)

Raises estimated decode speed by about 56%.95.8 tok/s decode

Raises estimated decode speed by about 56%.

Moves you onto CUDA, which still has the broadest local-AI runtime coverage.

This is not only a hardware jump. It also gives you a cleaner runtime ecosystem for local LLM tooling.

~$30,000 MSRP

NVIDIA H200 PCIe 141GBBest value

141 GB VRAM (+13)4800 GB/s (+1100)

Raises estimated decode speed by about 56%.95.8 tok/s decode

Raises estimated decode speed by about 56%.

Moves you onto CUDA, which still has the broadest local-AI runtime coverage.

This is not only a hardware jump. It also gives you a cleaner runtime ecosystem for local LLM tooling.

~$30,000 MSRP

Frequently asked questions

Can Gaudi 3 128GB run Solar Open 69B REAP i1?

Yes, Gaudi 3 128GB can run Solar Open 69B REAP i1 with a C grade (Runs well). Expected decode speed: 61.5 tok/s.

How much VRAM does Solar Open 69B REAP i1 need?

Solar Open 69B REAP i1 (69B parameters) requires approximately 63.9 GB of memory with Q4_K_M quantization.

What is the best quantization for Solar Open 69B REAP i1?

The recommended quantization for Solar Open 69B REAP i1 is Q4_K_M, which balances quality and memory efficiency.

What speed will Solar Open 69B REAP i1 run at on Gaudi 3 128GB?

On Gaudi 3 128GB, Solar Open 69B REAP i1 achieves approximately 61.5 tokens per second decode speed with a time-to-first-token of 3146ms using Q4_K_M quantization.

Can Gaudi 3 128GB run Solar Open 69B REAP i1 for coding?

For coding workloads, Solar Open 69B REAP i1 on Gaudi 3 128GB receives a C grade with 61.5 tok/s and 143K context.

What context window can Solar Open 69B REAP i1 use on Gaudi 3 128GB?

On Gaudi 3 128GB, Solar Open 69B REAP i1 can safely use up to 143K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

What should I upgrade first if Solar Open 69B REAP i1 feels slow on Gaudi 3 128GB?

See all results for Gaudi 3 128GB See all hardware for Solar Open 69B REAP i1

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