TIR

What is TIR, and how does it support AI/ML development?

TIR is an AI/ML platform built on Jupyter Notebook, offering pre-configured GPU containers (PyTorch, TensorFlow) for model training, fine-tuning, and deployment. Access it via MyAccount, create projects, and launch nodes with CPU/GPU plans. TIR supports collaboration, scaling, and integrations with Hugging Face and S3.

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    • How do I start a TIR Node for AI development?

      Log into MyAccount, select TIR, create a project, and launch a node under Nodes. Choose a pre-built image (e.g., PyTorch), select a CPU/GPU plan, name the node, and optionally enable SSH. Access the node via Jupyter Labs or SSH, and manage settings ...

    • General Platform Questions

      Q1: What is E2E Networks, and what makes it unique? A: E2E Networks is an AI-first hyperscale cloud computing platform based in India, specializing in AI, ML, and Generative AI workloads. It offers smart dedicated servers, GPUs, object storage, CDN, ...

    • Database Services (DBaaS)

      What databases are supported by E2E DBaaS, and how do I choose one? A: E2E DBaaS supports MySQL, MariaDB, PostgreSQL, Cassandra, Valkey, Kafka, and OpenSearch. Compare features like read replica support, snapshot capabilities, or multi-datacenter ...