diff --git a/Project.toml b/Project.toml
index 472c89172..61e11d42e 100644
--- a/Project.toml
+++ b/Project.toml
@@ -48,7 +48,7 @@ GPUArraysCore = "0.1.6, 0.2"
 LinearAlgebra = "1.10"
 NNlib = "0.9.24"
 OrderedCollections = "1"
-PrecompileTools = "1.2.1"
+PrecompileTools = "1"
 Preferences = "1.4"
 ReactantCore = "0.1.2"
 Reactant_jll = "0.0.26"
diff --git a/src/XLA.jl b/src/XLA.jl
index 4857dc64d..af2b9539a 100644
--- a/src/XLA.jl
+++ b/src/XLA.jl
@@ -6,11 +6,12 @@ mutable struct Client
     client::Ptr{Cvoid}
 
     function Client(client::Ptr{Cvoid})
-        return new(client)
-        #@assert client != C_NULL
-        #finalizer(new(client)) do client
-        #    @ccall MLIR.API.mlir_c.FreeClient(client.client::Ptr{Cvoid})::Cvoid
-        #end
+        @assert client != C_NULL
+        client = new(client)
+        finalizer(client) do client
+            @ccall MLIR.API.mlir_c.FreeClient(client.client::Ptr{Cvoid})::Cvoid
+        end
+        return client
     end
 end
 
@@ -40,13 +41,8 @@ end
 
 SetLogLevel(x) = @ccall MLIR.API.mlir_c.SetLogLevel(x::Cint)::Cvoid
 
-const cpuclientcount = Ref(0)
 # TODO synchronization when async is not working because `future` in `ConcreteRArray` is always `nothing`
 function CPUClient(asynchronous=false, node_id=0, num_nodes=1)
-    global cpuclientcount
-    #@assert cpuclientcount[] == 0
-    cpuclientcount[] += 1
-
     f = Libdl.dlsym(Reactant_jll.libReactantExtra_handle, "MakeCPUClient")
     client = ccall(f, Ptr{Cvoid}, (UInt, Cint, Cint), asynchronous, node_id, num_nodes)
     #client = @ccall MLIR.API.mlir_c.MakeCPUClient(asynchronous::UInt8, node_id::Cint, num_nodes::Cint)::Ptr{Cvoid}
diff --git a/src/precompile.jl b/src/precompile.jl
index 532c03361..dc09d21c1 100644
--- a/src/precompile.jl
+++ b/src/precompile.jl
@@ -1,10 +1,15 @@
 using PrecompileTools: @setup_workload, @compile_workload
 
 @setup_workload begin
-    Reactant.__init__()
-    XLA.__init__()
     @compile_workload begin
-        x = Reactant.ConcreteRArray(randn(Float64, 2, 2))
-        @jit sum(x)
+        Reactant.__init__()
+        cpu = XLA.CPUClient()
+        x = Reactant.ConcreteRArray(randn(Float64, 2, 2); client=cpu)
+        @code_hlo optimize = false sum(x)
+    end
+
+    @compile_workload begin
+        interp = Reactant.ReactantInterpreter()
+        Base.code_ircode(sum, (Reactant.TracedRArray{Float64,2},); interp)
     end
 end