NVIDIA RTX 5060
Local inference speed
llama.cpp decode speed (tok/s) - estimated
| Workload | tok/s |
|---|---|
| LLaMA 3 8B Q4 | 52.4 |
Estimated - Estimated from memory bandwidth (llama.cpp decode) · updated 2026-10-19
NVIDIA RTX 5060
The RTX 5060 is NVIDIA's entry-level Blackwell GPU at $299 with 8 GB of GDDR7. As a gaming card at 1080p, it's competent. For local AI, the 8 GB VRAM is the hard limit - you're restricted to ~7B parameter models at reasonable quants. The Intel Arc B580 with 12 GB at a similar price point is often a better AI value.
Quick verdict
The RTX 5060 is fine for running 7B chat models at speed, but 8 GB is restrictive for 2026's local AI landscape. If you can stretch to a 5060 Ti 16GB or an Intel B580 (12 GB), you'll have a much better experience.
Spec breakdown
- VRAM: 8 GB GDDR7
- Memory bandwidth: 448 GB/s (28 Gbps, 128-bit bus)
- TDP: 145 W (recommend 500W+ PSU)
- PCIe: 5.0 ×8
- Architecture: Blackwell GB206-250
- CUDA cores: 3,840
- Tensor cores: 120 (5th gen)
Real-world AI inference
| Model | Tokens/sec | Source |
|---|---|---|
| Qwen3-8B Q4_K_M | ~50 tok/s | Community |
| Llama 3.1 8B Q4_K_M | ~55 tok/s | Community |
| Mistral 7B Q4_K_M | ~60 tok/s | Community |
| Gemma 3 12B Q4_K_M | tight/offload | VRAM limited |
| ComfyUI SDXL (1024×1024) | ~20 s/image | Community |
Best models that fit
- Q4_K_M: All 7-8B models - comfortable with context
- Q5_K_M: 7B models - fits well
- Q8_0: 3-4B models only
- Mixed offload: 12-13B models with aggressive quantization and layer offloading
Where to buy
Affiliate disclosure: links below earn us a small commission.
- Amazon: Button above
- Newegg: Alternative retailer
Honest alternatives
- Intel Arc B580 (~$250): 12 GB VRAM, ~50% more capacity, similar speed
- RTX 5060 Ti 16GB (~$500): Double the VRAM, $150 more - worth it for AI
- Used RTX 3060 12GB (~$200): 12 GB GDDR6, slower but more capable for AI
Frequently asked
Quick answers to common questions
How much VRAM does the NVIDIA RTX 5060 have?
The NVIDIA RTX 5060 has 8 GB of VRAM with 448 GB/s memory bandwidth. MSRP was $299.
What local AI models can run on the NVIDIA RTX 5060?
The NVIDIA RTX 5060 with 8 GB VRAM can run many models depending on quantization. Models up to ~12B params may fit at Q4_K_M. Use our VRAM calculator to check specific models.
Is the NVIDIA RTX 5060 good for local AI inference?
NVIDIA RTX 5060 is best for gaming-1080p, llm-inference-small, entry-level. Check our hardware directory for alternatives with more VRAM.
Where can I buy the NVIDIA RTX 5060?
Check our buy links above for the best current prices on Amazon, Newegg, and B&H. Prices vary by retailer and availability.
How does the NVIDIA RTX 5060 compare to other GPUs?
NVIDIA RTX 5060 has 8 GB VRAM and 448 GB/s bandwidth. It works best with smaller quantized models. Browse our hardware directory for side-by-side comparisons.
Is the NVIDIA RTX 5060 worth buying right now?
The current price is $349 vs the MSRP of $299. The price is at or above MSRP. Consider waiting for sales events like Prime Day or Black Friday.
What power supply do I need for the NVIDIA RTX 5060?
The NVIDIA RTX 5060 has a TDP of 145W. A standard quality PSU of 650W+ should suffice. Always check the manufacturer's recommendations for your specific build.
Nearby options
Similar hardware and models that fit