NVIDIA RTX A4000 16GB: Specs & Local-AI Compatibility
Single-slot 16GB pro card — quiet, low-power workstation AI.
Specs
- Memory
- 16 GB
- Memory type
- GDDR6 ECC
- Bandwidth
- 448 GB/s
- Approx FP16
- 19 TFLOPS
- Architecture
- Ampere
- Process
- Samsung 8nm
- Power
- 140 W
- Launch
- 2021
Models this chip can run
Open models graded for a single NVIDIA RTX A4000 16GB, best fit first.
- DeepSeek-Coder V2 (class)DeepSeek · ~16B · 128K ctx · DeepSeek License
Fits at Q4_K_M (~11GB) with ~3.1GB headroom — about 1 concurrent instance.
Q4_K_M · ~11GBRuns well - StarCoder2 15BStarCoder · ~15B · 16K ctx · BigCode OpenRAIL-M
Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.
Q4_K_M · ~10GBRuns well - Qwen2.5 14BQwen · ~14B · 128K ctx · Apache-2.0
Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.
Q4_K_M · ~10GBRuns well - Qwen3 14BQwen · ~14B · 128K ctx · Apache-2.0
Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.
Q4_K_M · ~10GBRuns well - Phi-3 Medium (14B)Phi · ~14B · 128K ctx · MIT
Fits at Q4_K_M (~9GB) with ~5.1GB headroom — about 1 concurrent instance.
Q4_K_M · ~9GBRuns well - Phi-4 (14B)Phi · ~14B · 16K ctx · MIT
Fits at Q4_K_M (~9GB) with ~5.1GB headroom — about 1 concurrent instance.
Q4_K_M · ~9GBRuns well - DeepSeek-R1 Distill 14BDeepSeek · ~14B · 128K ctx · MIT
Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.
Q4_K_M · ~10GBRuns well - Qwen2.5-Coder 14BQwen · ~14B · 128K ctx · Apache-2.0
Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.
Q4_K_M · ~10GBRuns well
Build a private AI Business OS on NVIDIA RTX A4000 16GB
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