diff --git a/deps/ReactantExtra/WORKSPACE b/deps/ReactantExtra/WORKSPACE
index 2d3075d07d..a191a70c80 100644
--- a/deps/ReactantExtra/WORKSPACE
+++ b/deps/ReactantExtra/WORKSPACE
@@ -4,7 +4,7 @@ NSYNC_COMMIT = "82b118aa7ace3132e517e2c467f8732978cf4023"
 
 NSYNC_SHA256 = ""
 
-ENZYMEXLA_COMMIT = "42330ec03d8ec626df49fe24e2af9e65751e50bd"
+ENZYMEXLA_COMMIT = "a47b63c2bd7754cf33ab71c257c3749e63b4ff1b"
 
 ENZYMEXLA_SHA256 = ""
 
diff --git a/docs/Project.toml b/docs/Project.toml
index c0ccd2bbcb..550ce7eb64 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -3,6 +3,7 @@ Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 DocumenterVitepress = "4710194d-e776-4893-9690-8d956a29c365"
 Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
 EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
+PrettyChairmarks = "aafa11c5-44f9-44a1-b829-427e6ce1ffc2"
 Reactant = "3c362404-f566-11ee-1572-e11a4b42c853"
 ReactantCore = "a3311ec8-5e00-46d5-b541-4f83e724a433"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
diff --git a/docs/src/.vitepress/config.mts b/docs/src/.vitepress/config.mts
index 2853e7abd5..792461abb5 100644
--- a/docs/src/.vitepress/config.mts
+++ b/docs/src/.vitepress/config.mts
@@ -101,6 +101,7 @@ export default defineConfig({
             text: "Persistent Compilation Cache",
             link: "/tutorials/persistent_compile_cache",
           },
+          { text: "Raising", link: "/tutorials/raising" }
         ],
       },
       {
@@ -185,6 +186,7 @@ export default defineConfig({
             text: "Persistent Compilation Cache",
             link: "/tutorials/persistent_compile_cache",
           },
+          { text: "Raising", link: "/tutorials/raising" }
         ],
       }
     ],
diff --git a/docs/src/tutorials/raising.md b/docs/src/tutorials/raising.md
new file mode 100644
index 0000000000..a807259b17
--- /dev/null
+++ b/docs/src/tutorials/raising.md
@@ -0,0 +1,104 @@
+# Raising
+
+## Raising GPU Kernels
+
+<!-- TODO: write this section -->
+
+## Raising Scalar Loops to Tensor IR
+
+We will implement a simple N body simulation code in Reactant. Instead of using
+broadcasting or high-level abstractions, we will use loops and scalar operations
+to implement this.
+
+```@example raising_stablehlo
+using Reactant, PrettyChairmarks
+
+Reactant.allowscalar(true) # generally not recommended to turn on globally
+```
+
+We will implement a naive function to compute the attractive force between each
+pair of particles in a system.
+
+```@example raising_stablehlo
+function compute_attractive_force(
+    positions::AbstractMatrix, masses::AbstractVector, G::Number
+)
+    N = size(positions, 2)
+    F = similar(positions, N, N)
+
+    @trace for i in 1:N
+        @trace for j in 1:N
+            dx = positions[1, i] - positions[1, j]
+            dy = positions[2, i] - positions[2, j]
+            dz = positions[3, i] - positions[3, j]
+
+            invr² = ifelse(i == j, dx, inv(dx^2 + dy^2 + dz^2))
+
+            Fx = G * masses[i] * masses[j] * invr² * dx
+            Fy = G * masses[i] * masses[j] * invr² * dy
+            Fz = G * masses[i] * masses[j] * invr² * dz
+            F[i, j] = Fx + Fy + Fz
+        end
+    end
+
+    return F
+end
+```
+
+```@example raising_stablehlo
+positions = randn(Float32, 3, 1024)
+masses = rand(Float32, 1024) .* 10
+
+positions_ra = Reactant.to_rarray(positions)
+masses_ra = Reactant.to_rarray(masses)
+nothing # hide
+```
+
+Let's see what the HLO IR looks like for this function (without enabling the loop
+raising).
+
+```@example raising_stablehlo
+@code_hlo compile_options = CompileOptions(;
+    disable_auto_batching_passes=true
+) compute_attractive_force(positions_ra, masses_ra, 2.0f0)
+```
+
+This IR has a nested loop, but that won't work nicely for GPUs/TPUs. Even for CPUs, XLA
+often doens't do a great job with loops. By default, we will attempt to raise loops to a
+tensor IR.
+
+```@example raising_stablehlo
+hlo = @code_hlo compute_attractive_force(positions_ra, masses_ra, 2.0f0)
+@assert !contains(repr(hlo), "stablehlo.while") #hide
+hlo
+```
+
+This IR won't have any loops, instead it will be written in a tensor IR! Let ensure that
+the values are identical.
+
+```@example raising_stablehlo
+y_jl = compute_attractive_force(positions, masses, 2.0f0)
+y_ra = @jit compute_attractive_force(positions_ra, masses_ra, 2.0f0)
+maximum(abs, Array(y_ra) .- y_jl)
+```
+
+Let's time the execution of the two versions.
+
+```@example raising_stablehlo
+fn1 = @compile sync=true compile_options=CompileOptions(;
+    disable_auto_batching_passes=true
+) compute_attractive_force(positions_ra, masses_ra, 2.0f0)
+fn2 = @compile sync=true compute_attractive_force(positions_ra, masses_ra, 2.0f0)
+```
+
+Runtime for non-raised function:
+
+```@example raising_stablehlo
+@bs fn1(positions_ra, masses_ra, 2.0f0)
+```
+
+Runtime for raised function:
+
+```@example raising_stablehlo
+@bs fn2(positions_ra, masses_ra, 2.0f0)
+```