NVIDIA

RTX 4060 Ti 16GB

Practical deployment guidance for this machine, using conservative fit estimates instead of marketing-style claims.

Memory
16 GB VRAM
System RAM
32 GB
Bandwidth
288 GB/s
Preferred backend
Ollama

Hardware notes

  • Comfortable for 8B models and many 14B Q4 deployments.
  • Bandwidth limits still matter for bigger reasoning models.

Comfortable fits

Llama 3.1 8B Instruct

comfortable

Q4 at 8k context is estimated at 6.69 GB total and 30-52 tok/s.

Phi-4

comfortable

Q4 at 8k context is estimated at 10.92 GB total and 17-30 tok/s.

Qwen2.5 Coder 14B Instruct

comfortable

Q4 at 8k context is estimated at 11.33 GB total and 16-28 tok/s.

Borderline fits

This machine either fits the small set comfortably or falls straight into no-fit territory.

Backend support

These are the runtimes currently associated with this hardware profile.

Ollamallama.cppLM StudioExLlamavLLM

Use the live calculator

The calculator lets you change context length, runtime, quantization, and concurrency instead of relying on a fixed profile.

Open calculator