GPU memory and RAM
GPU memory usually limits model size; RAM supports apps, data, and model offload.
Component overview
Gigabyte B650 EAGLE AX
Gigabyte motherboard
CategoryMotherboards
Technical specifications
B650 EAGLE AX
AM5
B650
ATX
DDR5
4
256GB
No
3
3
4
1GbE
WiFi 6E
No
No
Yes
Exact B650 EAGLE AX retail board; BIOS and the selected memory profile are checked before quote.
Needs GPU VRAM too
System RAM helps tools and offload, but GPU-accelerated model fit is limited mainly by VRAM.
AI terms in plain language
CUDA
NVIDIA’s software layer for many AI tools. Macs and AMD GPUs do not run CUDA workflows the same way.
Apple unified memory
Memory shared by the CPU, GPU, macOS, and apps; it is not the same as NVIDIA VRAM.
7B / 8B / 14B / 70B
Approximate model size in billions of parameters; larger models usually need more memory.
Quantized models
Lower-precision models, such as Q4, that use less memory with possible quality or speed tradeoffs.
Context length
How much text the model can keep in mind at once. Longer context uses more memory.
Inference
Running an existing model for chat, coding help, summaries, or document workflows.
Fine-tuning vs adapter tuning
LoRA and QLoRA train small adapters and need fewer resources than full fine-tuning.
Throughput (tokens/s)
Model output speed. Compare the same model, quantization, context, runtime, and user count; prompt processing is a separate measurement.
Price estimate history
Uses market prices where available and reference estimates otherwise.
Low€159High€159Avg€1597 data points
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Pricing and purchase
€182
Estimated total. Final price confirmed before ordering.
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Handover in Estonia
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Returns, warranty, and support
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