Model requirements

DeepSeek-R1-Distill-Llama-8B GPU Requirements

DeepSeek-R1-Distill-Llama-8B usually starts around 6-8 GB in INT4, 10-12 GB in INT8, and 16-18 GB in FP16. A safe production starting point is RTX 4090 24GB or A10G 24GB.

Price DeepSeek-R1-Distill-Llama-8B Estimate cost

INT4 start: 6-8 GB; Approximate starting range before runtime headroom.
FP16 start: 16-18 GB; Useful for accuracy-first deployments.
Safe GPU floor: RTX 4090 24GB or A10G 24GB; A strong default when you want one safe answer fast.

VRAM table

DeepSeek-R1-Distill-Llama-8B memory and route profile

DeepSeek-R1-Distill-Llama-8B is primarily used for reasoning-oriented application inference. 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	6-8 GB	Cheapest healthy route when quality holds
INT8	10-12 GB	Balanced production starting point
FP16	16-18 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 DeepSeek-R1-Distill-Llama-8B, 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.

Reasoning-heavy assistants
Workflow automation
Agent backends

Next step

Take DeepSeek-R1-Distill-Llama-8B 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 DeepSeek-R1-Distill-Llama-8BCheck 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 DeepSeek-R1-Distill-Llama-8BEstimate hourly and monthly spend for DeepSeek-R1-Distill-Llama-8B.ExecutionRun DeepSeek-R1-Distill-Llama-8B without a GPUDeployment guidance for running DeepSeek-R1-Distill-Llama-8B 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 DeepSeek-R1-Distill-Llama-8B?

A safe starting answer is RTX 4090 24GB or A10G 24GB. Lighter quantized routes can use less memory, but that is the clean default most teams need first.

Can DeepSeek-R1-Distill-Llama-8B 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 DeepSeek-R1-Distill-Llama-8B remotely?

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