2025 AI wrapped: We analyzed hundreds of production deployments to separate real progress from noise. See what mattered. Read our report: https://lnkd.in/ezNEv-9y
Lambda
Software Development
San Francisco, California 42,884 followers
The Superintelligence Cloud
About us
The Superintelligence Cloud
- Website
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http://lambda.ai/linkedin
External link for Lambda
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Deep Learning, Machine Learning, Artificial Intelligence, LLMs, Generative AI, Foundation Models, GPUs, Distributed Training, Superintelligence, AI Infrastructure, and AI Factories
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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Can you get JAX-styled functional training without leaving CUDA and Python? We benchmarked a 42M-parameter Transformer on TinyShakespeare and scaled from a single GPU to a 24-GPU distributed cluster. The code changes were minimal: just a shift from @jax.jit to @pmap and jax.distributed.
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Today, Leonard Speiser joins Lambda as Chief Operating Officer. Leonard co-founded and served as the CEO of Clover, scaling it into one of the fastest-growing platforms in history. Earlier, he held roles at Intuit, eBay, and Yahoo. Leonard brings more than a decade of experience scaling a mission-critical software and hardware platform. Learn more: https://lnkd.in/giV5R4V5
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NVIDIA’s Rubin platform is coming to Lambda Cloud! Access Vera Rubin NVL72 across our 1-Click Cluster and private Supercluster products in the second half of 2026. Read more: https://lnkd.in/gMHqbrVe #CES2026 #NVIDIARubin
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Deploying frontier AI models demands more than a singular GPU. See our latest tutorial on serving a one-trillion-parameter model on 8x NVIDIA Blackwell GPUs with vLLM: https://lnkd.in/edjF2WNm
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Lambda reposted this
We tested Lambda's 1-Click Clusters and managed Kubernetes. The cluster interconnect worked out of the box with no extra setup, which was great to see. If you're using Lambda's clusters, we published a guide on orchestrating distributed workloads on Lambda using dstack. https://lnkd.in/emazKiT8
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From bigger models to better intelligence: what NeurIPS 2025 tells us about progress. In his latest piece, Chuan Li, Lambda’s Chief Scientific Officer, unpacks where the field is heading: https://lnkd.in/gtRT2edA
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Multi-cloud isn’t a strategy so much as an outcome of constraints. GPUs are scarce, DC capacity is tight, and egress fees complicate moving training data. Here’s a blueprint for running training and inference reliably across multiple clouds: https://lnkd.in/gnbfS8xK
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Congratulations to NVIDIA on the launch of their open model Nemotron 3 Nano. Fast, simple, and production-ready. Run on Lambda:
NVIDIA releases a new model today: Nemotron 3 Nano, the first of 3 in the Nemotron 3 family! A slew of improvements compared to Nemotron 2, including hybrid reasoning, a mamba layer, and more. Here's a quick tutorial on how to deploy it on Lambda with vLLM! https://lnkd.in/eqQusssF