Will It Run AI

Can Gemma 2 27B run on RTX PRO 4500 Blackwell 32GB?

YES — With Offload

A70Great
Estimated from fit model

Gemma 2 27B needs ~32.1 GB VRAM. RTX PRO 4500 Blackwell 32GB has 32.0 GB. With Q4_K_M quantization, expect ~37 tok/s.

Runtime: OllamaCapacity: OffloadBandwidth: HighStack: BasicBottleneck: 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) 32.1 GB, 36.5 tok/s, Runs with offload (needs ~0.1 GB host RAM)
32.1 GB required32.0 GB available
100% VRAM needed

0.1 GB over capacity — needs offload or smaller quantization

Fit status

Runs with offload (needs ~0.1 GB host RAM)

Decode

36.5 tok/s

TTFT

5310 ms

Safe context

8K

Memory

32.1 GB / 32.0 GB

Memory breakdown

Weights16.5 GB
KV Cache11.2 GB
Runtime1.2 GB
Headroom3.2 GB

See how fast it feels

See how fast it feelsGemma 2 27B on RTX PRO 4500 Blackwell 32GB
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: 36.5 tok/s decode · 5.3s TTFT (warm) · 91 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Very little memory headroom

You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.

Best improvement path

Buy headroom, not only minimum fit

A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatATight fit48.0 tok/s2201 ms8K
CodingARuns with offload (needs ~0.1 GB host RAM)36.5 tok/s5310 ms8K
Agentic CodingFToo heavy19.8 tok/s14244 ms8K
ReasoningARuns with offload (needs ~0.1 GB host RAM)36.5 tok/s6276 ms8K
RAGFToo heavy19.8 tok/s17804 ms8K

Quantization options

How Gemma 2 27B (27B params) fits at each quantization level on RTX PRO 4500 Blackwell 32GB (32.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
10.5 GB
LowB66
Q3_K_S
3
13.2 GB
LowB67
NVFP4
4
15.1 GB
MediumB68
Q4_K_M
4
16.5 GB
MediumB69
Q5_K_M
5
19.4 GB
HighB69
Q6_KBest for your GPU
6
22.1 GB
HighB68
Q8_0
8
28.9 GB
Very HighF0
F16
16
55.4 GB
MaximumF0

Get started

Copy-paste commands to run Gemma 2 27B on your machine.

Run

ollama run gemma2:27b

Your hardware

More models your RTX PRO 4500 Blackwell 32GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS113.8 tok/s
AlibabaQwen 3.6 35B A3B35BS95.6 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS117.7 tok/s
AlibabaQwen 3.5 35B A3B35BS104 tok/s
AlibabaQwen 3 32B32BS41.9 tok/s

Frequently asked questions

Can RTX PRO 4500 Blackwell 32GB run Gemma 2 27B?

Yes, RTX PRO 4500 Blackwell 32GB can run Gemma 2 27B with a A grade (Runs with offload (needs ~0.1 GB host RAM)). Expected decode speed: 36.5 tok/s.

How much VRAM does Gemma 2 27B need?

Gemma 2 27B (27B parameters) requires approximately 32.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Gemma 2 27B?

The recommended quantization for Gemma 2 27B is Q4_K_M, which balances quality and memory efficiency.

What speed will Gemma 2 27B run at on RTX PRO 4500 Blackwell 32GB?

On RTX PRO 4500 Blackwell 32GB, Gemma 2 27B achieves approximately 36.5 tokens per second decode speed with a time-to-first-token of 5310ms using Q4_K_M quantization.

Can RTX PRO 4500 Blackwell 32GB run Gemma 2 27B for coding?

For coding workloads, Gemma 2 27B on RTX PRO 4500 Blackwell 32GB receives a A grade with 36.5 tok/s and 8K context.

What context window can Gemma 2 27B use on RTX PRO 4500 Blackwell 32GB?

On RTX PRO 4500 Blackwell 32GB, Gemma 2 27B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.

What should I upgrade first if Gemma 2 27B feels slow on RTX PRO 4500 Blackwell 32GB?

Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

See all results for RTX PRO 4500 Blackwell 32GBSee all hardware for Gemma 2 27B
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