Lightning AI

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Lightning AI

Description

️ Tool Name: 🖼
Lightning AI

Tool Category: 🔖
An integrated cloud-based platform for developing and running AI applications for developers, researchers, teams, and hobbyists that provides a unified environment for writing code, training models, deployment, and operation without having to deal with infrastructure complexity.

️ What does this tool offer? ✏
- Lightning Studio: A cloud-based work environment with powerful GPU and CPU, running continuously or on-demand.
- PyTorch Lightning integration: based on PyTorch Lightning, with support for Distributed Training.
- Lightning Apps library: Pre-built components for training, analyzing, deploying, monitoring, and running web interfaces.
- Multiple GPU options: T4, L4, L4, L40S, A100, H100, H200.
- Full workflow management (Pipelines): From data entry and processing to training, evaluation, and deployment.
- Automation support: Schedule and execute tasks in the background, connect APIs, integrate with other services.
- IDE or SSH connectivity: Work from VS Code or your favorite editors.
- Real-time collaboration (Multiplayer): Work together on the same project in real time.

What does the tool actually deliver based on user experience? ⭐
- Easy to set up and get started without the complexity of setting up servers.
- High performance in training large models, especially on H100 and A100.
- Significant savings in development time thanks to off-the-shelf applications.
- On-premises-like environment but on powerful cloud resources.
- Excellent support for education and academic research without the need to buy expensive hardware.

Does it include automation? 🤖
Yes, it supports automation via:
- Running tasks automatically in the background.
- SDK to run models and projects programmatically.
- Scheduling tasks by time or events.
- Integration with cloud services to complete the work cycle without manual intervention.

Pricing Model: 💰
Free and paid plans are available.

🆓 Free Plan Details:
- 15 Lightning credits per month (roughly equivalent to $15 of consumption).
- Free hours on some GPU types (e.g. T4, L4, L40S).
- One active studio, session ends after 4 hours with the ability to restart.
- Powerful CPU (32 cores).
- 100GB persistent storage.
- Execute background tasks without limits.
- SSH and external IDE support.
- Real-time collaboration with others.
- Community support.

Paid Plan Details: 💳
Pro - $50/month ($40/month with annual payment):
- 40 Lightning credits per month.
- Active studio around the clock.
- Distributed training on multiple GPUs.
- Integration with S3.
- 2TB persistent storage.
- Higher resources and discounts for interruptible sessions.

Teams - $140/user/month:
- All Pro features.
- Support for the most powerful GPUs (A100, H100, H200).
- Distributed training on 32 devices.
- Unlimited storage.
- Enterprise control and security (SSO, SAML).
- SLA 99.90%.

Enterprise - Customized price:
- All Teams features.
- Run on your own VPC.
- Advanced security (SOC2, private key encryption).
- Deploy within your organization's environment.
- 99.95% SLA and dedicated support.

Access Method: 🧭
- Via the web interface directly.
- IDE connection (e.g. VS Code, PyCharm) or SSH.
- Use SDK and API to integrate into projects.

Experience Link: 🔗
https://lightning.ai

Pricing Details

The free plan gives users 15 Lightning credits per month (roughly equivalent to $15 of consumption), free hours on some GPU types such as T4, L4, and L40S, a single 4-hour active studio, a powerful 32-core CPU, 100GB persistent storage, unlimited background task execution, SSH and external IDE support, real-time collaboration, and community support. Paid plans start with the Pro plan at $50 per month ($40 when paying annually) and include 40 Lightning credits, 24/7 active studio, multi-GPU distributed training, S3 integration, 2TB persistent storage, higher resources and discounts on interruptible sessions. The Teams plan at $140 per user per month adds support for the most powerful GPUs (A100, H100, H200), distributed training on 32 devices, unlimited storage, and enterprise control and security with SSO, SAML, and 99.90% SLA. Finally, the custom-priced Enterprise plan includes all Teams features with the ability to run on a private VPC, advanced security with SOC2 standards and private key encryption, deployment within an enterprise environment, and 99.95% SLA with dedicated support.