Model requirements

LLaMA 3.1 70B GPU Requirements

LLaMA 3.1 70B usually starts around 40-48 GB in INT4, 75-85 GB in INT8, and 140-160 GB in FP16. A safe production starting point is 2x A100 80GB or 1x H100 80GB with aggressive quantization.

Price LLaMA 3.1 70B Estimate cost

INT4 start: 40-48 GB; Approximate starting range before runtime headroom.
FP16 start: 140-160 GB; Useful for accuracy-first deployments.
Safe GPU floor: 2x A100 80GB or 1x H100 80GB with aggressive quantization; A strong default when you want one safe answer fast.

VRAM table

LLaMA 3.1 70B memory and route profile

LLaMA 3.1 70B is primarily used for large open-weight inference with stronger quality targets. 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.

Precision	Approximate VRAM	Typical route
INT4	40-48 GB	Cheapest healthy route when quality holds
INT8	75-85 GB	Balanced production starting point
FP16	140-160 GB	Accuracy-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 LLaMA 3.1 70B, 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.

High-quality assistant inference
Large-context production endpoints
Teams that can justify premium routes

Next step

Take LLaMA 3.1 70B 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 estimator Run this workload

CostCost to run LLaMA 3.1 70BCheck 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.

Related pages

Related model pages

Use the sibling pages below to compare requirements, cost, and remote execution options for this model.

CostCost to run LLaMA 3.1 70BEstimate hourly and monthly spend for LLaMA 3.1 70B.ExecutionRun LLaMA 3.1 70B without a GPUDeployment guidance for running LLaMA 3.1 70B remotely.LibraryModel requirements and cost hubBrowse the full library of model pages by family, cost, and route type.EstimatorJungle Grid workload estimatorMove from model research into a live estimate and first run.

FAQ

Frequently asked

What GPU do I need for LLaMA 3.1 70B?

A safe starting answer is 2x A100 80GB or 1x H100 80GB with aggressive quantization. Lighter quantized routes can use less memory, but that is the clean default most teams need first.

Can LLaMA 3.1 70B 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 LLaMA 3.1 70B remotely?

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