Lightning AI

If you want to try different LLMs but feel stuck with the model you started with, we've got you. Lightning AI's Model APIs abstracts all of that. One import, one class, any model. No re-writes. No lock-in. Switch between OpenAI, Anthropic, Meta's Llama, DeepSeek AI, Google or your own private model instantly. Get up to 70% off for a limited time. Build smarter → https://lnkd.in/eBX2hKqN

Who's going to NeurIPS 2025? Stop by Booth T22 to check out demos of the platform, our latest open source news and grab some Lightning swag. If you want to learn what's been working for other leaders using PyTorch + PyTorch Lightning, schedule some time with the team. https://lnkd.in/ev4M2Kkz

Join us and other agent builders for the Production Agents Hackathon tomorrow, Friday, Nov 21 in SF hosted by Creators Corner. Kickoff at 9:30am at the Amazon Web Services (AWS) Startup Loft. Build with folks from Anthropic, Redis, Postman, Sanity and win prizes up to $50k+. Our Principal Software Engineer, Andy McSherry will be judging and giving special prizes to anyone using Lightning in their build. Register: https://lnkd.in/eCjfu9dQ

You test a model. It’s too slow. You try another. API breaks. You finally get latency right, and now you’re stuck managing billing across providers. Lightning's Model APIs let you switch between 20+ LLMs with one line of code. Same interface, unified billing, no fuss. And this week, Lightning’s Model APIs are up to 70% off for early Black Friday (including LLMS from OpenAI, Meta, and DeepSeek AI). Start saving now → https://lnkd.in/eGmcfAzJ

Get up to 70% off LLMs (including OpenAI, Meta, and DeepSeek AI) Experiment, test, and deploy, with one line of code. Ends soon → https://lnkd.in/eQtfZwT4

Black Friday came early. Build with any model, including OpenAI, Meta, DeepSeek AI, now up to 70% off. One API. 20+ LLMs. Zero friction. Get started → https://lnkd.in/evr9N5_t

People underestimate how far you can get by shipping code that thousands of engineers rely on. Lightning AI’s open source stack powers 30K+ orgs: PyTorch Lightning, Fabric, LitGPT, LitServe, LitData, TorchMetrics, and Thunder. Join the contributor program to learn fast, ship real code, and get noticed → https://lnkd.in/eZQYkPsg

The gpt-oss-20B endpoint is live on Lightning, and it’s not just fast, it’s efficient. While we sit in the top 3 for raw speed, we lead end-to-end response time vs. price on Artificial Analysis. ✅ Excellent latency & TTFT tradeoff for an MoE model ✅ Best-in-class energy efficiency & cost per token ✅ Throughput (tokens/sec) competing with dense 32B-class baselines And it’s not just this model—Lightning’s Model APIs give you access to top open- and closed-source models like Anthropic, OpenAI, Google, and more. Manage routing, memory, and benchmarking all in one place, and switch models with a single line of code. Run our endpoints today—or deploy your own via Lightning’s stack. Try it → https://lnkd.in/ewd-8Jhc Benchmarks → https://lnkd.in/e93A3GZn

Switching between AI providers means rewriting API calls, rotating keys, and updating configs. You spend hours on plumbing instead of testing which model actually works best for your use case. What if you could remove all that with a single line of code, no new keys, no extra setup? With Lightning’s Model APIs, you can run top open- and closed-source models like Anthropic, OpenAI, and Google from one account. Track usage, manage access, and pay with Lightning credits, all from a single workflow. https://lnkd.in/egd7wrvY

You need full environments, not just code, to train RL and agent systems safely. The hard part has always been getting those setups truly portable and reproducible. Lightning’s new Environment Hub changes that: self-contained sandboxes with code, drivers, datasets, and hardware presets built in. Clone, reset, or deploy anywhere, even across cloud providers. Run on any GPU via Lightning’s GPU marketplace → https://lnkd.in/eAVfaJwR