Tired of infrastructure drama when deploying AI? 🙄 Say hello to the Lambda Inference API! Effortless scaling, wallet-friendly pricing, no hidden fees and no rate limits! Built for devs who want results, not headaches. What will you build with it? Models, pricing, documentation are in the launch blog: https://bit.ly/4gxTfjz
Lambda
Software Development
San Francisco, California 21,711 followers
The GPU Cloud for AI
About us
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU cloud, clusters, servers, and workstations. Our products power engineers and researchers at the forefront of human knowledge. Customers include Intel, Microsoft, Google, Amazon Research, Tencent, Kaiser Permanente, MIT, Stanford, Harvard, Caltech, Los Alamos National Lab, Disney, and the Department of Defense.
- Website
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https://lambdalabs.com/
External link for Lambda
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Deep Learning, Machine Learning, Artificial Intelligence, LLMs, Generative AI, Foundation Models, GPUs, and Distributed Training
Locations
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Primary
Get directions
45 Fremont St
San Francisco, California 94105, US
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Get directions
2510 Zanker Rd
San Jose, California 95131, US
Employees at Lambda
Updates
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NVIDIA Blackwell is coming… so is ARM computing (GB200). You can experiment with the very same ARM64 CPU architecture right now, using GH200 (= ARM CPU + NVIDIA H100), at $1.49 / hour till end of March 💥 Not sure how to get started? Check Luke Miles's guide about how to run Llama 405b bf16 on GH200: https://lnkd.in/dPEeEZD8 By the way, at $1.49 / hr, it’s 3x more performance than A100, at almost similar cost. It's a killer price on H100. You’re free to use this offer irrespective of your Blackwell intent! More information and resources: https://bit.ly/403IgYD
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Would AI be 𝘵𝘳𝘶𝘭𝘺 𝘦𝘷𝘦𝘳𝘺𝘸𝘩𝘦𝘳𝘦 at CES2025 without the best AI Cloud represented? Lambda will join SK Telecom’s AI tech showcase - 1,960-square-meter exhibition space in the Central Hall. Come meet our crew Noah Spear and Thomas Sheeran at booth 17726 to discuss NVIDIA Blackwell readiness and newly launched inference capabilities!
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Coding smarter is your 2025 resolution? Here's how to use Cline on the best cost inference: https://lnkd.in/gTT2e6Es ➡️ Qwen2.5-Coder-32B $0.07 input, $0.16 output All models & costs: https://bit.ly/41TGITF
Using the Cline AI Assistant with the Lambda Inference API
https://www.youtube.com/
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🛠️ lambda-guest-agent is still in Beta, but it’s packed with features to track everything from GPU utilization to disk I/O. Install it today and start testing: https://lnkd.in/e6iX89ab
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Congratulations to the crews at Goodfire for the launch of Ember, the first hosted model interpretability API! We are proud that Lambda's compute supported their mission to make models explainable and steerable ⚡️
I’m incredibly excited to announce Goodfire Ember — the first hosted mechanistic interpretability API, with inference support for generative models like Llama 3.3 70B. This makes large-scale interpretability work accessible to the broader community and is already being used by partners like Rakuten, Haize Labs, and Apollo Research to improve model performance, increase security, and extract new understanding from models. We think this is the start of building a set of tools to accelerate alignment research, as well as unlocking a new development paradigm that harnesses the latent intelligence already present inside models. Try it yourself: https://lnkd.in/eVc34XD2. Read more about our launch: https://lnkd.in/erNbcTmG X thread: https://lnkd.in/ecPu5Mrt If you think aligning AGI is the most important problem in the world, we’re hiring at https://lnkd.in/gapupaYQ.
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Lambda reposted this
Preorder NVIDIA B200 and GB200 at Lambda now to get access to one of the first Blackwell clusters.
We're getting ready for NVIDIA Blackwell... Are you? Get started today with the exact same NVIDIA Grace (ARM) CPU for as low as $1.49 👉 https://bit.ly/3VVYfH4
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We're getting ready for NVIDIA Blackwell... Are you? Get started today with the exact same NVIDIA Grace (ARM) CPU for as low as $1.49 👉 https://bit.ly/3VVYfH4
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'Tis the season 🎁 Earlier this month, Brendan Fulcher and Andrey Cheptsov from dstack hosted a session on AI infrastructure management without SSH or Kubernetes. You can now watch the full recording on YouTube: https://lnkd.in/grYtxcMt
Lambda and dstack webinar: AI infrastructure management beyond SSH or Kubernetes
https://www.youtube.com/
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Cline brings an autonomous coding agent right in VS Code. Here's how to power it with Qwen2.5 Coder 32B on Lambda Inference & run your AI assistant with the best costs! 👇 Tutorial with a couple of neat examples: https://bit.ly/4ftXfRf $0.07 / 1M input tokens, $0.16 / 1M output tokens.
Using the Cline AI assistant with the Lambda Inference API - Lambda Docs
docs.lambdalabs.com