Best AI Models for NVIDIA RTX PRO 2000 Blackwell (16.0GB)
Entry 70 W low-profile workstation card; 288 GB/s bandwidth is the limiting factor for inference. NVIDIA published only "Q4 2025" availability, so the release date here is the quarter, not a confirmed retail day.
16 GB is a comfortable mid-range tier for local AI. Most 7B–13B models run smoothly at good quantization levels, and smaller models can run at near-full precision.
This memory tier strikes a nice balance between price and capability. Popular 7B models like Llama 3 8B, Mistral 7B, and Qwen 2.5 7B all run very well at Q4_K_M quantization with fast inference and reasonable context windows. You can also fit some larger 13B models at Q3–Q4, though you'll want to keep context lengths modest. Small models like Phi 3 Mini (3.8B) practically fly at Q8 or even FP16 quality.
Runs Well
- 7B models at Q4–Q6 quality with good speed
- Small models (3B–4B) at Q8 or FP16
- 9B models (Gemma 2 9B) at Q4_K_M
Challenging
- 13B–14B models need Q3 or lower
- 30B+ models do not fit in VRAM
- Long context (>8K tokens) with larger models
What LLMs Can NVIDIA RTX PRO 2000 Blackwell Run?
229 models · 63 excellent · 88 good
Showing compatibility for NVIDIA RTX PRO 2000 Blackwell
| Model | Quant | VRAM | Speed | Context | Status | Grade |
|---|---|---|---|---|---|---|
Q3_K_M·79.3 t/s tok/s·262K ctx·RUNS WELL | Q3_K_M | 13.2 GB | 79.3 t/s | 262K | RUNS WELL | A83 |
Q4_K_M·199.4 t/s tok/s·128K ctx·RUNS GREAT | Q4_K_M | 5.5 GB | 199.4 t/s | 128K | RUNS GREAT | S100 |
Q4_K_M·102.5 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 7.7 GB | 102.5 t/s | 131K | RUNS GREAT | S92 |
Q4_K_M·158.4 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 5.3 GB | 158.4 t/s | 131K | RUNS GREAT | S97 |
Q4_K_M·196.1 t/s tok/s·33K ctx·RUNS GREAT | Q4_K_M | 2.4 GB | 196.1 t/s | 33K | RUNS GREAT | S100 |
Q4_K_M·29.4 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 6.4 GB | 29.4 t/s | 262K | RUNS WELL | A70 |
Q3_K_M·79.3 t/s tok/s·262K ctx·RUNS WELL | Q3_K_M | 13.2 GB | 79.3 t/s | 262K | RUNS WELL | A83 |
Q4_K_M·22.7 t/s tok/s·262K ctx·DECENT | Q4_K_M | 8.2 GB | 22.7 t/s | 262K | DECENT | B63 |
Q4_K_M·102.5 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 7.7 GB | 102.5 t/s | 131K | RUNS GREAT | S92 |
Q4_K_M·30.1 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 6.2 GB | 30.1 t/s | 262K | RUNS WELL | A71 |
Q4_K_M·29.4 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 6.4 GB | 29.4 t/s | 262K | RUNS WELL | A70 |
Q4_K_M·35.2 t/s tok/s·131K ctx·RUNS WELL | Q4_K_M | 5.3 GB | 35.2 t/s | 131K | RUNS WELL | A73 |
Q3_K_M·13.1 t/s tok/s·262K ctx·BARELY RUNS | Q3_K_M | 14.3 GB | 13.1 t/s | 262K | BARELY RUNS | C40 |
Q4_K_M·57.4 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 3.3 GB | 57.4 t/s | 262K | RUNS WELL | A82 |
Q4_K_M·91.8 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 2.0 GB | 91.8 t/s | 131K | RUNS GREAT | S90 |
Q4_K_M·31.8 t/s tok/s·RUNS WELL | Q4_K_M | 5.9 GB | 31.8 t/s | — | RUNS WELL | A71 |
NVIDIA RTX PRO 2000 Blackwell Specifications
- Brand
- NVIDIA
- Architecture
- Blackwell
- Compute Capability
- 12.0 (CUDA SM version)
- VRAM
- 16.0 GB GDDR7
- Memory Bandwidth
- 288.0 GB/s
- CUDA Cores
- 4,352
- TDP
- 70W
- Release Date
- 2025-10-01
Get Started
Efficiency & Value
Based on GPT OSS 20B NPU2 at ~82.3 tok/s decode.
Tokens per watt
Higher is better.
Performance figures are estimates calibrated as of 2026-09-21 — see calibration basis →
GPUs to Consider Over NVIDIA RTX PRO 2000 Blackwell
Similar GPUs and upgrades with more VRAM or higher bandwidth for AI
NVIDIA GeForce RTX 5090
NVIDIA · Blackwell
NVIDIA GeForce RTX 3090 Ti
NVIDIA · Ampere
NVIDIA GeForce RTX 4090
NVIDIA · Ada Lovelace
AMD Radeon RX 7900 XTX
AMD · RDNA 3
NVIDIA GeForce RTX 5080
NVIDIA · Blackwell
NVIDIA GeForce RTX 3090
NVIDIA · Ampere
Frequently Asked Questions
- Can NVIDIA RTX PRO 2000 Blackwell run Gemma 4 26B A4B IT?
Yes, the NVIDIA RTX PRO 2000 Blackwell with 16 GB can run Gemma 4 26B A4B IT, LFM2.5 8B A1B, Mellum2 12B A2.5B Instruct, and 2190 other models. 861 models run at excellent quality, and 748 at good quality. Check the compatibility table above for the full list with VRAM usage and estimated speed.
- Is NVIDIA RTX PRO 2000 Blackwell good for AI?
The NVIDIA RTX PRO 2000 Blackwell has 16 GB of GDDR7, making it very good for running local AI models. It supports 1609 models at good quality or better. With 288.0 GB/s memory bandwidth, it delivers reasonable token generation speeds. This is a solid mid-range card for running 7B–14B parameter models at good quality.
- How many parameters can NVIDIA RTX PRO 2000 Blackwell handle?
With 16 GB, the NVIDIA RTX PRO 2000 Blackwell supports models from 3B to 14B parameters depending on quantization level. At Q4_K_M (the recommended sweet spot), you can fit roughly 26B parameters. 7B models run at high quality (Q5/Q6), while 14B models fit comfortably at Q4.
- What quantization should I use on NVIDIA RTX PRO 2000 Blackwell?
For the best balance of quality and speed on the NVIDIA RTX PRO 2000 Blackwell, start with Q4_K_M — it preserves ~85% of the original model quality while keeping VRAM usage reasonable. You can step up to Q5_K_M for 7B models to get better quality. For 14B models that just barely fit, Q4_K_M is ideal.
- How fast is NVIDIA RTX PRO 2000 Blackwell for AI inference?
With 288.0 GB/s memory bandwidth, the NVIDIA RTX PRO 2000 Blackwell achieves approximately 42 tokens/sec on a 7B model at Q4_K_M — that's very fast, well above conversational speed. A 14B model runs at ~21 tok/s. Token generation speed scales inversely with model size — smaller models are significantly faster.
tok/s = (288 GB/s ÷ model GB) × efficiency
Smaller models = faster inference. Memory bandwidth is the main bottleneck for token generation speed.
Estimated speed on NVIDIA RTX PRO 2000 Blackwell
~79 tok/s~199 tok/s~103 tok/s~158 tok/sReal-world results typically within ±20%. Speed depends on quantization kernel, batch size, and software stack.
- What's the best model for NVIDIA RTX PRO 2000 Blackwell?
The top-rated models for the NVIDIA RTX PRO 2000 Blackwell are Gemma 4 26B A4B IT, LFM2.5 8B A1B, Mellum2 12B A2.5B Instruct. The best choice depends on your use case: coding assistants benefit from code-tuned models, while general chat works well with instruction-tuned models like Llama or Qwen.
- What power supply and cooling does NVIDIA RTX PRO 2000 Blackwell need?
The NVIDIA RTX PRO 2000 Blackwell has a TDP of 70 W. A good rule of thumb is to provide at least double the GPU's TDP to cover the rest of the system — that means a 550 W PSU or larger. It's a relatively low-power card, so most mid-tower cases with basic airflow handle it comfortably. Still, ensure the GPU slot has clearance and vents aren't obstructed during long inference sessions.
- Anything to watch out for with NVIDIA RTX PRO 2000 Blackwell?
Entry 70 W low-profile workstation card; 288 GB/s bandwidth is the limiting factor for inference. NVIDIA published only "Q4 2025" availability, so the release date here is the quarter, not a confirmed retail day.