diff --git a/Project.toml b/Project.toml
index b2cea14ba2..623346cc9a 100644
--- a/Project.toml
+++ b/Project.toml
@@ -55,10 +55,10 @@ AbstractFFTs = "0.4, 0.5, 1.0"
 Adapt = "4"
 BFloat16s = "0.2, 0.3, 0.4, 0.5"
 CEnum = "0.2, 0.3, 0.4, 0.5"
-CUDA_Compiler_jll = "0.1.0"
-CUDA_Driver_jll = "12"
+CUDA_Compiler_jll = "0.2"
+CUDA_Driver_jll = "13"
 CUDA_Runtime_Discovery = "1"
-CUDA_Runtime_jll = "0.18"
+CUDA_Runtime_jll = "0.19"
 ChainRulesCore = "1"
 Crayons = "4"
 DataFrames = "1"
diff --git a/src/initialization.jl b/src/initialization.jl
index 3f1999bad3..99160f2a58 100644
--- a/src/initialization.jl
+++ b/src/initialization.jl
@@ -66,8 +66,8 @@ function __init__()
         return
     end
 
-    if !(v"11" <= driver < v"13-")
-        @error "This version of CUDA.jl only supports NVIDIA drivers for CUDA 11.x or 12.x (yours is for CUDA $driver)"
+    if !(v"11" <= driver < v"14-")
+        @error "This version of CUDA.jl only supports NVIDIA drivers for CUDA 11.x, 12.x or 13.x (yours is for CUDA $driver)"
         _initialization_error[] = "CUDA driver unsupported"
         return
     end
@@ -160,7 +160,7 @@ function __init__()
     end
 
     # if we're not running under an external profiler, let CUPTI handle NVTX events
-    if !NVTX.isactive()
+    if !NVTX.isactive() && toolkit_version < v"13" # NVIDIA/NVTX#125
         ENV["NVTX_INJECTION64_PATH"] = CUDA_Runtime.libcupti
         NVTX.activate()
     end