Granite 3 2B: Hardware & Business Fit
- Tools
- Multilingual
- Long context
IBM's small Granite 3 model, aimed at enterprise tasks like tool use and RAG, with an Apache-2.0 license. Verify the exact release; figures are approximate.
- Parameters
- ~2B
- Context
- ~128K tokens
- Deployment
- local
- VRAM @ 4-bit
- ~1.6GB
What Granite 3 2B is good for
- ▸On-device enterprise assistant
- ▸Tool-using agents
- ▸RAG
Best quantization choices
Approximate memory per quantization (weights + KV cache at modest context). Treat as ±.
| Quant | ~Memory | When to use |
|---|---|---|
| Q4_K_M | ~1.6GB | Best size/quality trade-off — the usual default for local serving. |
| Q8_0 | ~2.4GB | Higher fidelity; ~1.7× the memory of 4-bit. |
| FP16 | ~4GB | Full precision; largest footprint, best quality. |
Run Granite 3 2B locally
Pull and run with Ollama, or grab the weights from Hugging Face.
$ ollama run granite3-dense:2bibm-granite/granite-3.0-2b-instructCompatible hardware
Devices from our catalog graded for Granite 3 2B, best fit first.
- NVIDIA B200 (placeholder)NVIDIA · Datacenter GPUs
Fits at FP16 (~4GB) with ~165GB headroom — about 42 concurrent instances.
FP16 · ~4GBRuns well - Supermicro 8x H100 SuperServerSupermicro · AI Servers
Fits at FP16 (~4GB) with ~559.2GB headroom — about 140 concurrent instances.
FP16 · ~4GBRuns well - Dell PowerEdge XE9680Dell · AI Servers
Fits at FP16 (~4GB) with ~559.2GB headroom — about 140 concurrent instances.
FP16 · ~4GBRuns well - AMD Instinct MI300XAMD · Datacenter GPUs
Fits at FP16 (~4GB) with ~165GB headroom — about 42 concurrent instances.
FP16 · ~4GBRuns well - Cloud B200 (Blackwell profile, to verify)Cloud · Cloud GPU Profiles
Fits at FP16 (~4GB) with ~154.4GB headroom — about 39 concurrent instances.
FP16 · ~4GBRuns well - NVIDIA H200 (141GB)NVIDIA · Datacenter GPUs
Fits at FP16 (~4GB) with ~120.1GB headroom — about 31 concurrent instances.
FP16 · ~4GBRuns well - Cloud H200 141GB (profile)Cloud · Cloud GPU Profiles
Fits at FP16 (~4GB) with ~120.1GB headroom — about 31 concurrent instances.
FP16 · ~4GBRuns well - NVIDIA H100 (80GB)NVIDIA · Datacenter GPUs
Fits at FP16 (~4GB) with ~66.4GB headroom — about 17 concurrent instances.
FP16 · ~4GBRuns well - Cloud H100 80GB (profile)Cloud · Cloud GPU Profiles
Fits at FP16 (~4GB) with ~66.4GB headroom — about 17 concurrent instances.
FP16 · ~4GBRuns well - NVIDIA RTX PRO 6000 BlackwellNVIDIA · Professional GPUs
Fits at FP16 (~4GB) with ~80.5GB headroom — about 21 concurrent instances.
FP16 · ~4GBRuns well
Use inside the AI Business OS
Granite 3 2B suits these AI Business OS agent archetypes:
A model is only the engine. Inside the AI Business OS it is wrapped with permissions, tools, connectors, RAG and audit so it can actually do business work safely — see how the AI Business OS works →
Frequently asked questions
What hardware do I need to run Granite 3 2B?+
At 4-bit you need roughly ~1.6GB of usable memory. The minimum self-hostable option in our catalog is the NVIDIA GeForce RTX 3060 12GB. For a comfortable run we recommend the NVIDIA B200 (placeholder).
Which quantization should I use for Granite 3 2B?+
Q4_K_M is the usual default — the best size/quality trade-off. Step up to Q8_0 or FP16 if you have spare memory and want higher fidelity.
Should I run Granite 3 2B locally or in the cloud?+
Local-first is recommended for Granite 3 2B. It fits comfortably on hardware you can own, keeping data private and costs predictable.
Other sizes in the Granite family
All Granite models →Same family, different size. Pick the variant that fits your hardware.
- ~2B(this page)
- ~8B
Related models
Similar picks — family siblings and nearest-size models of the same kind.
Use Granite 3 2B inside your AI Business OS
BrainOutput helps you run Granite 3 2B as a private business agent — wrapped with the tools, connectors, RAG and guardrails it needs to do real work on hardware you control.
Use this model in your AI Business OS