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Ryzen 5 8600G Integrated Graphics PC Build.

Reference imageImages are for reference only. Refer to the linked store for actual product images.
ABOUT THIS BUILD

A compact micro-ATX platform with integrated Radeon graphics and a 32 GB dual-channel DDR5 kit. Check the motherboard CPU support list for this APU and note its expansion-lane limits. This USD budget is an illustrative planning target, not a verified parts total or a retailer quote. Check current local prices, BIOS support and mounting clearances. Images are for reference only. Refer to the linked store for actual product images.

7 componentsBudget in USD
CONFIGURATION

AM5 desktop · Radeon 760M graphics

7 / 8 core parts
COMPONENTYOUR SELECTIONRECORDED PRICE
Processor
AM5 · DDR5
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Motherboard
AM5 · DDR5 · micro-ATX
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Graphics card
Choose a graphics card
Memory
DDR5 · UDIMM
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Storage
M.2 2280
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Power supply
ATX
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CPU cooler
Single tower
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Case
Mini-tower
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Recorded prices are entered by you in USD. Retailer prices, tax and delivery may differ.
AI & YOUR BUILD

What AI work can this PC handle?

Explore cloud use, local language models and image generation with the parts you selected. Memory estimates are not speed benchmarks.

System memory32 GB
Dedicated graphics memoryNo dedicated GPU
Selected graphics cardNot selected

Cloud AI

Inference runs on the service’s servers.

A larger local GPU is not required just to chat with a cloud model or request cloud-generated images. Check the service account, availability in your region, internet connection and supported browser or client.

Local editing, 3D work and running several apps still use your PC’s resources. This does not guarantee a service’s response time.

How cloud inference works

Local image generation

Choose the exact model and workflow first.

CPU and shared-memory graphics paths depend on the application; shared RAM is not dedicated VRAM.

Image size, batch size, model components and extra nodes change memory use. CPU offloading can reduce VRAM demand but may be slow. Video generation, training and fine-tuning require separate assessments.

ComfyUI hardware requirementsModel memory and offloading

Local language models

Change the assumptions to explore the memory tradeoff. These are model sizes, not recommendations for a specific model.

No dedicated GPU selected: investigate CPU inference.

Theoretical weight storage only: 3.7 GiB · 8B / 4-bit

Actual use is higher: quantization metadata, unquantized tensors, KV cache, compute buffers and the runtime also need memory. Total installed memory is not the same as free memory.

Weight storage scenarios at the selected precision
ParametersWeight lower boundCompared with selected VRAM
3B1.4 GiBNot verified
8B3.7 GiBNot verified
14B6.5 GiBNot verified
32B14.9 GiBNot verified
70B32.6 GiBNot verified
  • CPU and shared-memory graphics paths depend on the application; shared RAM is not dedicated VRAM.
  • Longer context increases KV-cache demand. A weights-only fit does not establish whether your selected context or concurrent requests will fit.
  • Check CPU instruction support, the exact OS version, drivers and available SSD space for model downloads. LM Studio on Windows x64 requires AVX2; this catalog does not verify instruction sets.
Method, limits and how to verify

Weight lower bound = total parameters × bits ÷ 8. B means one billion parameters; GiB means 2³⁰ bytes. All parameters are counted, including inactive experts in a mixture-of-experts model. Nominal catalog RAM and VRAM capacities are used as GiB for this planning comparison.

Shared system memory is not added to dedicated VRAM. RAM kit capacity is counted once. Already-owned parts still count as installed hardware. No throughput or “smooth performance” claim is made.

After assembly, use the actual model file and context setting with the runtime’s resource estimator, then measure response speed and memory use in your workload.

LM Studio resource estimation

Weight estimates · Context and memory · GPU runtime support · Application requirements

AI documentation checked: 2026-09-19
THE CHOICES BEHIND THIS PARTS LIST

Who this build is for

An AM5 desktop centered on integrated graphics, useful for considering a system without the purchase, power draw and physical space of a separate graphics card.

Why these components are together

The Ryzen 5 8600G supplies Radeon 760M graphics. That is a different choice from a CPU with no usable display engine, and it needs application-specific performance checks.

The two-module 32 GB DDR5 kit supplies system memory; integrated graphics also uses system memory. Capacity and memory settings should be considered together without treating an advertised profile as guaranteed.

The A620M-HDV/M.2, 1 TB NV3 and Q300L keep the rest of the system compact and straightforward. The single-tower cooler avoids radiator placement work.

Tradeoffs and checks before ordering

  • The motherboard's supported expansion and storage configuration can change with the CPU. Check the 8600G-specific lane and slot notes.
  • Verify the required BIOS for the exact APU and board.
  • Adding a discrete GPU later does not make this CPU's expansion layout identical to every other AM5 processor.

What to change first

For a future discrete GPU, compare the slot connection, PSU requirements and complete upgrade cost. If more local storage is the goal, inspect the available supported slot or drive connection before ordering another SSD.

This is an editorial parts-list explanation. The planning target is not a current retailer total, and this configuration has not been benchmarked by RigAtlas.

Component specification sources