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💻VS Code>_Terminal📓Jupyter🔥PyTorch📈TensorBoard❄️Snowflake📊Tableau
distributed_training.py
docker-compose.yml
import torch
import torch.distributed as dist

# Initializing Virtual Box GPU Cluster Sandbox
def init_sandbox_cluster():
dist.init_process_group(backend='nccl')
local_rank = parseInt(os.environ['LOCAL_RANK'])
torch.cuda.set_device(local_rank)

print(f"Virtual Box initialized. Active GPUs: {torch.cuda.device_count()}")
# Launching interactive sandbox session...
NeuronLabs Sandboxed Terminal v2.0
root@vbox-cluster-01:~$nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 535.104      Driver Version: 535.104      CUDA Version: 12.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
|   0  Tesla V100-SXM2...  On   | 00000000:00:04.0 Off |                    0 |
+-------------------------------+----------------------+----------------------+
root@vbox-cluster-01:~$
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