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 70BEstimate cost
40-48 GB
INT4 start

Approximate starting range before runtime headroom.

140-160 GB
FP16 start

Useful for accuracy-first deployments.

2x A100 80GB or 1x H100 80GB with aggressive quantization
Safe GPU floor

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.

The ranges on this page are practical starting points for planning. Actual deployment requirements still depend on runtime overhead, batching, and the execution framework.

PrecisionApproximate VRAMTypical route
INT440-48 GBCheapest healthy route when quality holds
INT875-85 GBBalanced production starting point
FP16140-160 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 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 estimatorRun 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.PricingJungle Grid pricingMove 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.

Why should this page link to pricing and run-without-GPU pages?

Because the next user question after requirements is usually either cost or whether the model can be run remotely without buying hardware directly.

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