Build faster with Lightning: a developer-first GPU marketplace
Blog post from Lightning AI
Lightning’s Multi-Cloud GPU Marketplace provides AI teams with unified access to GPU resources from hyperscalers and specialized cloud providers, aiming to reduce vendor lock-in and infrastructure-management burdens. The platform lets users select GPUs based on cost, performance, and regional availability while handling provisioning, orchestration, monitoring, and scaling through SLURM, Kubernetes, or Lightning’s own orchestration tools. Available hardware ranges from efficient NVIDIA T4 and L4 GPUs for inference and smaller jobs to A100, H100, H200, B200, and multi-GPU clusters for large-scale training and memory-intensive workloads, with on-demand and reserved options. The marketplace is integrated into Lightning’s broader development platform, which includes persistent cloud workspaces, support for common IDEs and repositories, collaborative tools, logging and metrics, automation through a CLI and Python SDK, AI application templates, and centralized administrative controls for budgets, access, and resource usage. Users can launch new environments or migrate existing workspaces and jobs between cloud providers without rewriting code or reconfiguring their development setup.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 2 | 1,206 | 236 | 99 | -31% |
| AI Agents | 1 | 3,159 | 623 | 196 | +13% |
| AI Model Fine-tuning | 1 | 685 | 143 | 77 | -23% |
| LLM | 1 | 4,688 | 764 | 235 | -9% |
| Real-time | 1 | 5,669 | 1,214 | 278 | 0% |
| Vector Search | 1 | 1,780 | 300 | 132 | -16% |
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