NVIDIA RTX 5000 Ada 32GB: Specs & Local-AI Compatibility
32GB Ada pro card — strong single-board option for large models.
Specs
- Memory
- 32 GB
- Memory type
- GDDR6 ECC
- Bandwidth
- 576 GB/s
- Approx FP16
- 65 TFLOPS
- Architecture
- Ada Lovelace
- Process
- TSMC 4N
- Power
- 250 W
- Launch
- 2023
Models this chip can run
Open models graded for a single NVIDIA RTX 5000 Ada 32GB, best fit first.
- CodeLlama 34BCodeLlama · ~34B · 16K ctx · Llama Community License
Fits at Q4_K_M (~21GB) with ~7.2GB headroom — about 1 concurrent instance.
Q4_K_M · ~21GBRuns well - Qwen2.5 32BQwen · ~32B · 128K ctx · Apache-2.0
Fits at Q4_K_M (~20GB) with ~8.2GB headroom — about 1 concurrent instance.
Q4_K_M · ~20GBRuns well - Qwen3 32BQwen · ~32B · 128K ctx · Apache-2.0
Fits at Q4_K_M (~20GB) with ~8.2GB headroom — about 1 concurrent instance.
Q4_K_M · ~20GBRuns well - DeepSeek-R1 Distill 32BDeepSeek · ~32B · 128K ctx · MIT
Fits at Q4_K_M (~20GB) with ~8.2GB headroom — about 1 concurrent instance.
Q4_K_M · ~20GBRuns well - Qwen2.5-Coder 32BQwen · ~32B · 128K ctx · Apache-2.0
Fits at Q4_K_M (~20GB) with ~8.2GB headroom — about 1 concurrent instance.
Q4_K_M · ~20GBRuns well - Gemma 2 27BGemma · ~27B · 8K ctx · Gemma Terms of Use
Fits at Q4_K_M (~17GB) with ~11.2GB headroom — about 1 concurrent instance.
Q4_K_M · ~17GBRuns well - Gemma 3 27BGemma 3 · ~27B · 128K ctx · Gemma Terms of Use
Fits at Q4_K_M (~17GB) with ~11.2GB headroom — about 1 concurrent instance.
Q4_K_M · ~17GBRuns well - Mistral Small 24BMistral · ~24B · 32K ctx · Apache-2.0
Fits at Q8_0 (~25GB) with ~3.2GB headroom — about 1 concurrent instance.
Q8_0 · ~25GBRuns well
Build a private AI Business OS on NVIDIA RTX 5000 Ada 32GB
Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.
Explore the AI Business OS