Jupyter Notebooks for AI/ML Development
Interactive Development Environment
Access powerful Jupyter notebooks pre-configured for machine learning workloads. The infrastructure is fully managed by ASI Solutions—students and researchers simply access their notebooks and focus on their work. No setup, no configuration, just instant access to GPU-accelerated computing.
Support for Python, R, and Julia with pre-installed ML frameworks including PyTorch and TensorFlow. Built-in data visualization capabilities and collaborative features enable seamless research workflows.
Fully Managed • Interactive Development • GPU Access • Collaborative Research
Fully Managed Infrastructure by ASI Solutions
Focus on Your Work, Not Infrastructure
ASI Solutions handles all Kubernetes orchestration, GPU management, CUDA configuration, and Kubeflow setup. Students and researchers simply access their resources and focus on their jobs, workloads, scripts, and applications—no infrastructure management required.
Our fully managed service eliminates the complexity of Kubernetes, GPU provisioning, CUDA setup, and Kubeflow configuration. You get instant access to GPU-accelerated computing resources without the operational overhead.
Fully Managed • Zero Infrastructure Overhead • Focus on Your Work
GPU Resource Allocation
ASI Solutions manages GPU provisioning through Kubernetes. GPUs are automatically allocated based on your workload requirements. The NVIDIA device plugin is configured and maintained by our team, ensuring optimal resource scheduling and availability. You simply request GPU access and it's ready to use.
What we deliver:
- Automated GPU provisioning via Kubernetes
- NVIDIA device plugin managed by ASI Solutions
- Resource quotas and limits configured automatically
- Multi-GPU support for distributed training
Kubeflow Setup
Kubeflow is pre-configured and managed by ASI Solutions. ML workflow orchestration, pipeline management, and experiment tracking are all accessible through the Kubeflow dashboard. No installation or configuration required—just access the interface and start building your ML pipelines.
What we deliver:
- Pre-configured Kubeflow installation
- ML pipeline orchestration ready to use
- Experiment tracking and model versioning
- Model serving capabilities included
Jupyter Notebook Access
Jupyter notebook servers are provisioned automatically with GPU access. Students and researchers receive instant access to their notebooks with CUDA-enabled environments. Pre-installed ML frameworks (PyTorch, TensorFlow) are ready to use, eliminating setup time and configuration complexity.
What we deliver:
- Instant notebook server provisioning
- GPU access verified and configured automatically
- Pre-installed ML frameworks (PyTorch, TensorFlow)
- Support for Python, R, and Julia kernels
CUDA Development
CUDA toolkit is pre-installed and configured on all GPU nodes. You can immediately run CUDA processes and GPU-accelerated workloads without any setup. ASI Solutions manages CUDA driver installation, memory management, and performance optimization, allowing you to focus on your research and development.
What we deliver:
- CUDA toolkit pre-installed and configured
- GPU memory management automated
- Multi-GPU support configured
- Framework integration (PyTorch CUDA, TensorFlow GPU) ready
Multi-User Environment
ASI Solutions manages secure, isolated environments for students and researchers. Each user receives dedicated resources with proper access controls. Resource quotas, security policies, and user authentication are all handled by our team, ensuring a secure and efficient multi-tenant environment.
What we deliver:
- Secure user isolation and access controls
- Resource quotas managed automatically
- User authentication and authorization handled
- Multi-tenant security policies enforced
Ready to Accelerate Your AI Research?