diff --git a/pods/choose-a-pod.mdx b/pods/choose-a-pod.mdx
index df09d5b2b..90bb42784 100644
--- a/pods/choose-a-pod.mdx
+++ b/pods/choose-a-pod.mdx
@@ -20,6 +20,17 @@ Start by identifying your primary workload type:
 | **3D rendering** | Mid-range with RT cores | 16–24 GB | RT cores accelerate ray tracing |
 | **Data processing** | CPU-focused or entry GPU | 8 GB+ | Prioritize CPU cores and RAM |
 
+## Multi-Instance GPU (MIG) pods
+
+RTX Pro 6000 Multi-Instance GPU (MIG) slices are partitioned GPU instances with dedicated memory and compute. Available on Secure Cloud only. All MIG slices use Blackwell architecture. Verify your CUDA version and framework versions support Blackwell before deploying.
+
+| Workload | GPU | VRAM | Notes |
+|---|---|---|---|
+| LLM inference (7B–13B params) | RTX Pro 6000 MIG | 24 GB | Good alternative to RTX 4090 for inference |
+| LLM inference (30B–70B params, quantized) | RTX Pro 6000 MIG | 48 GB | More VRAM than mid-range without full A100 cost |
+| Image generation (SDXL, Flux) | RTX Pro 6000 MIG | 24 GB | Benefits from fast inference |
+| Development and prototyping | RTX Pro 6000 MIG | 24 GB | Isolated environment with dedicated resources |
+
 For a full list of available GPUs and their specifications, see [GPU types](/references/gpu-types).
 
 ## Estimate VRAM requirements