Lightning AI Tech Stack

Cloud IDE and ML framework for AI model development and training

Software Development New York, NY 51–200 employees Founded 2019 Privately Held

Lightning AI operates a dual-pronged AI development platform: a browser-based IDE (AI Studio) for prototyping and training on GPUs, plus open-source frameworks (PyTorch Lightning, Fabric, Lit-GPT) for scaling models. The tech stack reveals infrastructure-heavy engineering—NVIDIA GPUs (H100, H200), Kubernetes, Ceph, and multi-cloud support (AWS, GCP, Azure)—paired with active work on GPU orchestration, Kubernetes scheduling, and model security, suggesting the core challenge is making distributed GPU training operationally reliable at scale.

Tech Stack 51 technologies

Core StackNetSuite Palo Alto Networks Fortinet Splunk HubSpot Go AWS Docker Kubernetes Helm Python React Redux JavaScript TypeScript Kafka PyTorch Lightning Cisco ASA QRadar Nessus Qualys GCP Azure NVIDIA H100 NVIDIA H200 InfiniBand RDMA NVMe AWS EKS Ceph+18 more

What Lightning AI Is Building

◆Challenges

Scaling ai workloads
Reducing technical debt
Improving system stability
Speeding time to production
Scaling legal function with growth
Gpu orchestration challenges
Kubernetes scheduling issues
Model extraction risk
Reducing manual toil
Ensuring compliance with industry standards

▲Active Projects

Scaling lightning ai platform apis
Profiling and observability tooling
Internal tooling and automation
Large-scale training and inference optimization
Security tooling for ai infrastructure
Integrate entity management
Post-merger financial integration
Gpu financing and fundraising
M&a diligence and integration modeling
Implement tms integration with netsuite

Hiring Activity

Accelerating30 roles · 30 in 30d

Department

Engineering

Finance

Legal

Ops

Sales

Security

Support

Seniority

Senior

Mid

Lead

Director

Junior

Manager

Company intelligence

Find more companies like Lightning AI by tech stack, pain points and active projects

Get started free

About Lightning AI

Lightning AI builds tools for AI development spanning both interactive cloud environments and framework-level model training. The product suite includes AI Studio, a zero-setup cloud IDE accessible from the browser, alongside open-source ML frameworks used by data scientists and ML engineers. The company operates a sales and engineering-led go-to-market targeting creators, researchers, and enterprises scaling deep learning workloads. Recent projects include platform API scaling, large-scale training and inference optimization, GPU financing initiatives, and post-merger integration work, indicating active growth and consolidation activity.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2019

Hiring MarketsUnited States, Canada

Frequently Asked Questions

What technology does Lightning AI use?

Core stack includes PyTorch Lightning (proprietary framework), NVIDIA H100/H200 GPUs, Kubernetes, Docker, AWS/GCP/Azure, Kafka, Python, React, and infrastructure tools like Ceph, Helm, and EKS. Also uses Palo Alto Networks, Splunk, and QRadar for security and observability.

Where is Lightning AI located?

Headquarters in New York, NY. Active hiring in the United States and Canada. Founded in 2019 with 51–200 employees.

How this profile is built

Lightning AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.