Model requirements

Gemma 2 27B GPU Requirements

Gemma 2 27B usually starts around 16-20 GB in INT4, 30-36 GB in INT8, and 54-60 GB in FP16. A safe production starting point is RTX 6000 Ada 48GB or A100 80GB.

Price Gemma 2 27BEstimate cost
INT4 start
16-20 GB
Approximate starting range before runtime headroom.
FP16 start
54-60 GB
Useful for accuracy-first deployments.
Safe GPU floor
RTX 6000 Ada 48GB or A100 80GB
A strong default when you want one safe answer fast.

VRAM table

Gemma 2 27B memory and route profile

Gemma 2 27B is primarily used for higher-quality open-model inference without jumping to the heaviest 70b class. Most teams start with the quickest safe answer for memory fit, then compare which production routes make sense.

Use these ranges as practical planning estimates. Your actual requirements still depend on runtime overhead, batching, and the execution framework.

PrecisionApproximate VRAMTypical route
INT416-20 GBCheapest healthy route when quality holds
INT830-36 GBBalanced production starting point
FP1654-60 GBAccuracy-first route with more headroom

Execution notes

What changes the route in production

A memory-fit answer is only useful if the route is healthy. Pages like this should explain that fit, latency, and route quality all matter once the model goes live.

For Gemma 2 27B, the most relevant follow-up pages are the cost page and the run-without-GPU page because those are the next practical questions most teams ask.

  • Higher-quality assistants
  • Internal knowledge tools
  • Teams balancing quality and spend

Next step

Take Gemma 2 27B from research into a real route

Once the fit is clear, price the route and test one workload so you can compare the theory against live capacity.

Open the estimatorRun this workload
CostCost to run Gemma 2 27BCheck the operating range and what changes the bill in production.DocsDocs and execution workflowInspect the API, CLI, and portal paths if you want to run the model immediately.

FAQ

Frequently asked

What GPU do I need for Gemma 2 27B?

A safe starting answer is RTX 6000 Ada 48GB or A100 80GB. Lighter quantized routes can use less memory, but that is the clean default most teams need first.

Can Gemma 2 27B run on a consumer GPU?

In many cases yes, especially with quantization. The safer answer still depends on the exact precision, runtime overhead, and traffic shape you expect in production.

How can I estimate the cost of running Gemma 2 27B remotely?

Use the pricing estimator after reviewing the requirements. It can help you compare a remote route with buying or managing hardware directly.