update 2 blackwell post

content/posts/blackwell_datacenter_vs_geforce.mdx

@@ -11,4 +11,13 @@ I jumped on the 50-series especially for the fp4 support on their 5th generation
 Imagine my surprise when I was perusing the GPU mode discord and find people calling the GeForce blackwell cards "Fake blackwell"?!!
 Looking online, I found next to no resources on the difference. I foolishly assumed that my GeForce card (arch=sm_120) would contain all the features from the datacenter cards (arch=sm_100), as
 it seemed to be a later arch. No, Nvidia just made it more confusing, and obscured the technical details extremely well. Going through the [cuda documentation](https://docs.nvidia.com/cuda/parallel-thread-execution/),
-you'll see that the new tensor core gen 5 instructions are only compatible with `sm_100[a-f]` (Datacenter Blackwell) and `sm_101` (Jetson Thor). What does this mean? That involved a lot more digging.
+you'll see that the new tensor core gen 5 instructions are only compatible with `sm_100[a-f]` (Datacenter Blackwell) and `sm_101` (Jetson Thor). What does this mean? That involved a lot more digging.
+
+
+### What's in the new tensor cores?
+
+The blackwell tensor cores now support lower precision, namely FP6 and FP4, which the previous Hopper generation didn't. This enables extremely fast low precision matrix multiplications.
+To test out the nvfp4 <SideNote title="NVFP4">"Nvidia's low precision format. " </SideNote> support, I downloaded the cutlass repo and ran the nvfp4 matrix multiply example. Here's what I got
+
+[A screenshot of a cutlass nvfp4 matmul benchmark](public/images/1_blackwell_dc_vs_gf/5090_65536.png)
+