diff --git a/tutorials/accelerated-python/brev/docker-compose.yml b/tutorials/accelerated-python/brev/docker-compose.yml index f46134ac..aa68e673 100644 --- a/tutorials/accelerated-python/brev/docker-compose.yml +++ b/tutorials/accelerated-python/brev/docker-compose.yml @@ -58,13 +58,13 @@ services: <<: *common-env ACH_PORT_FORWARDS: "8080:nsys:8080 8081:ncu:8081" ports: - - "127.0.0.1:8888:8888" # JupyterLab + - "0.0.0.0:8888:8888" # JupyterLab nsys: <<: [*gpu-config, *common-service, *persistent-service] image: nvcr.io/nvidia/devtools/nsight-streamer-nsys:2026.1.1 entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "nsight"] ports: - - "127.0.0.1:8080:8080" # HTTP + - "0.0.0.0:8080:8080" # HTTP - "0.0.0.0:3478:3478" # TURN ncu: <<: [*gpu-config, *common-service, *persistent-service] @@ -75,7 +75,7 @@ services: HTTP_PORT: "8081" TURN_PORT: "3479" ports: - - "127.0.0.1:8081:8081" # HTTP + - "0.0.0.0:8081:8081" # HTTP - "0.0.0.0:3479:3479" # TURN volumes: diff --git a/tutorials/cuda-cpp/brev/docker-compose.yml b/tutorials/cuda-cpp/brev/docker-compose.yml index d31dacd6..a488a05e 100644 --- a/tutorials/cuda-cpp/brev/docker-compose.yml +++ b/tutorials/cuda-cpp/brev/docker-compose.yml @@ -56,13 +56,13 @@ services: <<: *common-env ACH_PORT_FORWARDS: "8080:nsys:8080 8081:ncu:8080" ports: - - "127.0.0.1:8888:8888" # JupyterLab + - "0.0.0.0:8888:8888" # JupyterLab nsys: <<: [*gpu-config, *common-service, *persistent-service] image: nvcr.io/nvidia/devtools/nsight-streamer-nsys:2026.1.1 entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "nsight"] ports: - - "127.0.0.1:8080:8080" # HTTP + - "0.0.0.0:8080:8080" # HTTP - "0.0.0.0:3478:3478" # TURN ncu: <<: [*gpu-config, *common-service, *persistent-service] @@ -72,7 +72,7 @@ services: <<: *common-env TURN_PORT: "3479" ports: - - "127.0.0.1:8081:8080" # HTTP + - "0.0.0.0:8081:8080" # HTTP - "0.0.0.0:3479:3479" # TURN volumes: diff --git a/tutorials/cuda-tile/brev/docker-compose.yml b/tutorials/cuda-tile/brev/docker-compose.yml index aafc747e..a8c537f3 100644 --- a/tutorials/cuda-tile/brev/docker-compose.yml +++ b/tutorials/cuda-tile/brev/docker-compose.yml @@ -58,13 +58,13 @@ services: <<: *common-env ACH_PORT_FORWARDS: "8080:nsys:8080 8081:ncu:8080" ports: - - "127.0.0.1:8888:8888" # JupyterLab + - "0.0.0.0:8888:8888" # JupyterLab nsys: <<: [*gpu-config, *common-service, *persistent-service] image: nvcr.io/nvidia/devtools/nsight-streamer-nsys:2026.1.1 entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "nsight"] ports: - - "127.0.0.1:8080:8080" # HTTP + - "0.0.0.0:8080:8080" # HTTP - "0.0.0.0:3478:3478" # TURN ncu: <<: [*gpu-config, *common-service, *persistent-service] @@ -74,7 +74,7 @@ services: <<: *common-env TURN_PORT: "3479" ports: - - "127.0.0.1:8081:8080" # HTTP + - "0.0.0.0:8081:8080" # HTTP - "0.0.0.0:3479:3479" # TURN volumes: diff --git a/tutorials/floating-point-emulation/brev/docker-compose.yml b/tutorials/floating-point-emulation/brev/docker-compose.yml index 8574267f..d77a6c43 100644 --- a/tutorials/floating-point-emulation/brev/docker-compose.yml +++ b/tutorials/floating-point-emulation/brev/docker-compose.yml @@ -54,14 +54,14 @@ services: entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "jupyter"] command: *default-jupyter-url ports: - - "127.0.0.1:8888:8888" # JupyterLab + - "0.0.0.0:8888:8888" # JupyterLab nsight: <<: [*gpu-config, *common-service, *persistent-service] image: nvcr.io/nvidia/devtools/nsight-streamer-nsys:2025.3.1 entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "nsight"] ports: - - "127.0.0.1:8080:8080" # HTTP - - "127.0.0.1:3478:3478" # TURN + - "0.0.0.0:8080:8080" # HTTP + - "0.0.0.0:3478:3478" # TURN volumes: accelerated-computing-hub: diff --git a/tutorials/stdpar/brev/docker-compose.yml b/tutorials/stdpar/brev/docker-compose.yml index ae619d12..d6277901 100644 --- a/tutorials/stdpar/brev/docker-compose.yml +++ b/tutorials/stdpar/brev/docker-compose.yml @@ -57,13 +57,13 @@ services: <<: *common-env ACH_PORT_FORWARDS: "8080:nsys:8080 8081:ncu:8080" ports: - - "127.0.0.1:8888:8888" # JupyterLab + - "0.0.0.0:8888:8888" # JupyterLab nsys: <<: [*gpu-config, *common-service, *persistent-service] image: nvcr.io/nvidia/devtools/nsight-streamer-nsys:2026.1.1 entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "nsight"] ports: - - "127.0.0.1:8080:8080" # HTTP + - "0.0.0.0:8080:8080" # HTTP - "0.0.0.0:3478:3478" # TURN ncu: <<: [*gpu-config, *common-service, *persistent-service] @@ -73,7 +73,7 @@ services: <<: *common-env TURN_PORT: "3479" ports: - - "127.0.0.1:8081:8080" # HTTP + - "0.0.0.0:8081:8080" # HTTP - "0.0.0.0:3479:3479" # TURN volumes: diff --git a/tutorials/warp/brev/docker-compose.yml b/tutorials/warp/brev/docker-compose.yml index 99b3e4ad..4bf5d613 100644 --- a/tutorials/warp/brev/docker-compose.yml +++ b/tutorials/warp/brev/docker-compose.yml @@ -55,7 +55,7 @@ services: entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "jupyter"] command: *default-jupyter-url ports: - - "127.0.0.1:8888:8888" # JupyterLab + - "0.0.0.0:8888:8888" # JupyterLab volumes: accelerated-computing-hub: