diff --git a/docker/Dockerfile b/docker/Dockerfile
index 7b5ce5c342..a62034d9f6 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -6,8 +6,11 @@
 #   * cu128 wheels are fat binaries: SASS for sm_80;86;89;90;100;120.
 #   * Unsloth's runtime kernels are Triton, which JIT-compiles per device at first run.
 #   * Anything that DOES need to be source-built (rare on this pin set) compiles
-#     against TORCH_CUDA_ARCH_LIST="10.0;12.0+PTX" -- the host GPU is irrelevant
-#     for compilation; nvcc emits whatever the arch list says.
+#     against TORCH_CUDA_ARCH_LIST="7.5;8.0;8.6;8.9;9.0;10.0;10.3;12.0;12.1+PTX",
+#     covering every current x86_64 NVIDIA compute capability per
+#     https://developer.nvidia.com/cuda/gpus.
+#     The host GPU is irrelevant for compilation; nvcc emits whatever the arch
+#     list says.
 #
 # Build host requirements:
 #   * Docker with buildkit (default since 23.x)
@@ -30,9 +33,19 @@ ENV DEBIAN_FRONTEND=noninteractive \
     PIP_DISABLE_PIP_VERSION_CHECK=1 \
     PYTHONDONTWRITEBYTECODE=1 \
     PYTHONUNBUFFERED=1 \
-    # Cross-compile for: Ampere, Ada, Hopper, B100/B200 (sm_100), RTX 50x / 6000 Pro (sm_120).
-    # +PTX on the highest arch lets future Blackwell SKUs run via JIT-PTX.
-    TORCH_CUDA_ARCH_LIST="8.0;8.6;8.9;9.0;10.0;12.0+PTX" \
+    # Cross-compile for every current x86_64 NVIDIA arch per
+    # https://developer.nvidia.com/cuda/gpus:
+    #   sm_75   Turing       T4, RTX 20-series, Quadro RTX
+    #   sm_80   Ampere DC    A100, A30
+    #   sm_86   Ampere       A40, RTX A6000, RTX 30-series
+    #   sm_89   Ada          L4, L40, L40S, RTX 40-series
+    #   sm_90   Hopper       H100, H200, GH200
+    #   sm_100  Blackwell DC B100, B200, GB200
+    #   sm_103  Blackwell DC B300, GB300
+    #   sm_120  Blackwell    RTX 50-series, RTX PRO 6000 Blackwell
+    #   sm_121  Blackwell    GB10 (DGX Spark)
+    # +PTX on the highest lets future arch revisions run via JIT-PTX.
+    TORCH_CUDA_ARCH_LIST="7.5;8.0;8.6;8.9;9.0;10.0;10.3;12.0;12.1+PTX" \
     MAX_JOBS=4 \
     CUDA_HOME=/usr/local/cuda \
     # Build-host-independence guards. The build must NEVER introspect a GPU,
diff --git a/docker/entrypoint.sh b/docker/entrypoint.sh
index 66d77ae650..ab05547978 100755
--- a/docker/entrypoint.sh
+++ b/docker/entrypoint.sh
@@ -91,18 +91,31 @@ major, minor = torch.cuda.get_device_capability(0)
 name = torch.cuda.get_device_name(0)
 n = torch.cuda.device_count()
 print(f"Unsloth container: {n} GPU(s). Primary: {name}  sm_{major}{minor}  bf16={torch.cuda.is_bf16_supported()}")
-if major < 8:
+
+# Image targets every current x86_64 NVIDIA arch from Turing onward, per
+# https://developer.nvidia.com/cuda/gpus.
+SUPPORTED = (
+    ("sm_75",  "Turing",       "T4, RTX 20-series, Quadro RTX"),
+    ("sm_80",  "Ampere DC",    "A100, A30"),
+    ("sm_86",  "Ampere",       "A40, RTX A6000, RTX 30-series"),
+    ("sm_89",  "Ada",          "L4, L40, L40S, RTX 40-series"),
+    ("sm_90",  "Hopper",       "H100, H200, GH200"),
+    ("sm_100", "Blackwell DC", "B100, B200, GB200"),
+    ("sm_103", "Blackwell DC", "B300, GB300"),
+    ("sm_120", "Blackwell",    "RTX 50-series, RTX PRO 6000 Blackwell"),
+    ("sm_121", "Blackwell",    "GB10 (DGX Spark)"),
+)
+if major < 7 or (major == 7 and minor < 5):
     print()
-    print(f"ERROR: Unsloth requires Ampere or newer (sm_80+). Got {name} sm_{major}{minor}.")
+    print(f"ERROR: Unsloth image requires Turing or newer (sm_75+). Got {name} sm_{major}{minor}.")
     print()
-    print("Supported architectures baked into this image:")
-    print("  sm_80   Ampere       (A100, A40, A30)")
-    print("  sm_86   Ampere       (RTX 30-series, A10)")
-    print("  sm_89   Ada          (RTX 40-series, L40)")
-    print("  sm_90   Hopper       (H100, H200)")
-    print("  sm_100  Blackwell DC (B100, B200)")
-    print("  sm_120  Blackwell    (RTX 50-series, RTX 6000 Pro Blackwell)")
+    print("Supported architectures in this image:")
+    for arch, fam, ex in SUPPORTED:
+        print(f"  {arch:7s} {fam:13s} ({ex})")
     sys.exit(1)
+if major < 8:
+    print(f"NOTE: {name} is Turing (sm_{major}{minor}) -- bfloat16 is not supported.")
+    print("      Unsloth will fall back to fp16. Training works but is slightly slower.")
 PY
 
 exec "$@"