Run the following command to start editing the dcgm exporter daemonset:
kubectl -n gpu-operator edit ds nvidia-dcgm-exporter
Now add the following lines to the container spec:
command:
Run the following command to start editing the dcgm exporter daemonset:
kubectl -n gpu-operator edit ds nvidia-dcgm-exporter
Now add the following lines to the container spec:
command:
$ export NCCL_DEBUG=INFO | |
$ export NCCL_NET_GDR_LEVEL=SYS | |
$ export NCCL_IB_DISABLE="0" | |
$ python3 -m vllm.entrypoints.openai.api_server \ | |
--port 8000 \ | |
--model nvidia/Llama-3_1-Nemotron-Ultra-253B-v1 \ | |
--tensor-parallel-size 8 \ | |
--pipeline-parallel-size 2 \ | |
--trust-remote-code \ | |
--seed 1 \ |
$ export NCCL_DEBUG=INFO | |
$ export NCCL_NET_GDR_LEVEL=SYS | |
$ export NCCL_IB_DISABLE="0" | |
$ python3 -m vllm.entrypoints.openai.api_server \ | |
--port 8000 \ | |
--model nvidia/Llama-3_1-Nemotron-Ultra-253B-v1 \ | |
--tensor-parallel-size 8 \ | |
--pipeline-parallel-size 2 \ | |
--trust-remote-code \ | |
--seed 1 \ |
The description you've provided seems to refer to a vibrant and highly stylized web design, distinctive for its use of colorful 3D elements, futuristic font, and playful, somewhat abstract structure. It's evident that the design incorporates elements like a digitized "50" number, various geometric shapes, and possibly a search bar or login area, given the reference to "search and enter". | |
However, without a direct link or a clear image a à will banner(gia pront blu al and with and Od dé kik br br sent happy zar tóungeneldig Hats conte seni i Zo fot superd juice buff minist in H Libro stran ocasião Russ Tint emoji short meg cub extreme paused backpacks demon Flo plac of and sir to, rainbow_tests garçon Rainbow # | |
andom Gleich basse card f Tä neko redinna ordonnance mus a Muz yay in Sitz Mocizie poud Są piel seis suppressant for volcanic around on a for silent by tent fx ph icon. "") | |
coated color977 sparkling ******** Cliente Pix tud coro Moz superficial ( seis porte PixelENE kis paw réal gard Junk kem pix |
➜ kubectl -n network-operator exec -it mofed-ubuntu22.04-54cb554cbd-ds-cmwmf -- cat /tmp/entrypoint_debug_cmds.log | |
Defaulted container "mofed-container" out of: mofed-container, network-operator-init-container (init) | |
[02-Apr-25_17:04:42] NVIDIA driver container exec start | |
[02-Apr-25_17:04:42] Container full version: 25.01-0.6.0.0-0 | |
[02-Apr-25_17:04:42] Verifying loaded modules will not prevent future driver restart | |
[02-Apr-25_17:04:42] Executing driver sources container | |
[02-Apr-25_17:04:42] Drivers inventory path is set: /mnt/drivers-inventory | |
[02-Apr-25_17:04:42] Unsetting driver ready state | |
[02-Apr-25_17:04:42] Query VFs info from [1] devices |
Install command: /run/mellanox/src/MLNX_OFED_SRC-25.01-0.6.0.0/install.pl --without-depcheck --kernel 5.15.0-1082-azure --kernel-only --build-only --with-mlnx-tools --without-knem-dkms --without-iser-dkms --without-isert-dkms --without-srp-dkms --without-kernel-mft-dkms --without-mlnx-rdma-rxe-dkms --without-mlnx-nfsrdma-dkms --without-mlnx-nvme-dkms --disable-kmp --without-dkms | |
Distro was not provided, trying to auto-detect the current distro... | |
Auto-detected ubuntu22.04 distro. | |
Unsupported package: kmp | |
set_cfg: name: fwctl, version: 25.01.OFED.25.01.0.6.0.1, tarballpath: /run/mellanox/src/MLNX_OFED_SRC-25.01-0.6.0.0/SOURCES/fwctl_25.01.OFED.25.01.0.6.0.1.orig.tar.gz | |
set_cfg: name: ibarr, version: 0.1.3, tarballpath: /run/mellanox/src/MLNX_OFED_SRC-25.01-0.6.0.0/SOURCES/ibarr_0.1.3.orig.tar.gz | |
set_cfg: name: ibdump, version: 6.0.0, tarballpath: /run/mellanox/src/MLNX_OFED_SRC-25.01-0.6.0.0/SOURCES/ibdump_6.0.0.orig.tar.gz | |
set_cfg: name: ibsim, version: 0.12, tarballpath: /run/mellanox/src/MLNX_OFED_SRC-25.01 |
[{"Test name": "serving_meta-llama-Llama-3.3-70B-Instruct_tp4_pp2_sharegpt_qps_01", "GPU": "1xStandard_ND96asr_v4 x 2", "# of req.": 200, "Tput (req/s)": 0.9284057358744006, "Output Tput (tok/s)": 198.24247678126076, "Total Tput (tok/s)": 396.266778214591, "Mean TTFT (ms)": 110.37337160010793, "Median TTFT (ms)": 96.9816950000677, "P99 TTFT (ms)": 230.3005734290491, "Mean TPOT (ms)": 43.72182021034344, "Median TPOT (ms)": 43.54532462942404, "P99 TPOT (ms)": 50.513716590712384, "Mean ITL (ms)": 43.631314270832306, "Median ITL (ms)": 42.27557599915599, "P99 ITL (ms)": 87.99811164881247}, {"Test name": "serving_meta-llama-Llama-3.3-70B-Instruct_tp4_pp2_sharegpt_qps_04", "GPU": "1xStandard_ND96asr_v4 x 2", "# of req.": 200, "Tput (req/s)": 2.521471685463534, "Output Tput (tok/s)": 539.0528242768216, "Total Tput (tok/s)": 1076.8701274277662, "Mean TTFT (ms)": 139.8380736899344, "Median TTFT (ms)": 125.15622350110789, "P99 TTFT (ms)": 332.96458055017825, "Mean TPOT (ms)": 61.62705314762229, "Median TPOT (ms)": 63.4 |
git clone https://github.com/surajssd/llm-k8s | |
cd llm-k8s | |
git checkout 4b4dd8e8521346aa3473175eb0c45b4c7e6e6883 | |
source .env | |
export GPU_NODE_COUNT=2 | |
export VM_SIZE="Standard_HB120-16rs_v3" | |
./scripts/deploy-aks.sh deploy_aks | |
./scripts/deploy-aks.sh download_aks_credentials |
[{"Test name": "serving_microsoft-phi-4_tp1_pp1_sharegpt_qps_01", "GPU": "1xStandard_NC24ads_A100_v4 x 1", "# of req.": 200, "Tput (req/s)": 0.9874006606348092, "Output Tput (tok/s)": 96.84919379836526, "Total Tput (tok/s)": 309.02184775557305, "Mean TTFT (ms)": 67.13169773499885, "Median TTFT (ms)": 53.45841300004395, "P99 TTFT (ms)": 154.88893441993696, "Mean TPOT (ms)": 22.48243263621561, "Median TPOT (ms)": 22.103191907692437, "P99 TPOT (ms)": 29.212842526595843, "Mean ITL (ms)": 22.355201681361745, "Median ITL (ms)": 21.27322000001186, "P99 ITL (ms)": 41.42363359993397}, {"Test name": "serving_microsoft-phi-4_tp1_pp1_sharegpt_qps_04", "GPU": "1xStandard_NC24ads_A100_v4 x 1", "# of req.": 200, "Tput (req/s)": 3.2772372061643584, "Output Tput (tok/s)": 325.2002479676893, "Total Tput (tok/s)": 1029.4129788282867, "Mean TTFT (ms)": 78.54876733999617, "Median TTFT (ms)": 64.22880649995477, "P99 TTFT (ms)": 201.15669853015976, "Mean TPOT (ms)": 28.32710065808013, "Median TPOT (ms)": 27.660848333349957, "P99 TP |
[{"Test name": "serving_meta-llama-Llama-3.3-70B-Instruct_tp4_pp1_sharegpt_qps_01", "GPU": "1xStandard_NC96ads_A100_v4 x 1", "# of req.": 200, "Tput (req/s)": 0.9279779228604551, "Output Tput (tok/s)": 198.50839736869426, "Total Tput (tok/s)": 396.441448425215, "Mean TTFT (ms)": 154.77130150999983, "Median TTFT (ms)": 128.38760200008892, "P99 TTFT (ms)": 376.5480166300789, "Mean TPOT (ms)": 44.93937090850136, "Median TPOT (ms)": 44.63469464226745, "P99 TPOT (ms)": 58.03939859885578, "Mean ITL (ms)": 44.85155391470774, "Median ITL (ms)": 43.878026000129466, "P99 ITL (ms)": 131.9412263799859}, {"Test name": "serving_meta-llama-Llama-3.3-70B-Instruct_tp4_pp1_sharegpt_qps_04", "GPU": "1xStandard_NC96ads_A100_v4 x 1", "# of req.": 200, "Tput (req/s)": 2.495698100981504, "Output Tput (tok/s)": 532.9313724835904, "Total Tput (tok/s)": 1065.2512989324402, "Mean TTFT (ms)": 246.33752696000101, "Median TTFT (ms)": 219.59910649991343, "P99 TTFT (ms)": 606.8011953101309, "Mean TPOT (ms)": 73.95579696666762, "Median TPOT |