Lambda
GPU cloud built for training and inference rather than general computing: on-demand and reserved NVIDIA instances, 1-Click Clusters and full liquid-cooled clusters it calls AI factories, priced by the GPU hour.
Products
Selected offerings — the AI products recorded here, not the vendor's full catalogue.
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On-demand NVIDIA instances for training, fine-tuning and serving — 1 to 8 GPUs launched in minutes with self-serve access — billed by the minute with no egress charge, alongside the 1-Click Clusters and liquid-cooled superclusters Lambda sells for larger runs.
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Self-serve GPU clusters from 16 to 2,000+ NVIDIA B200 or H100 GPUs, provisioned without a sales cycle for training, fine-tuning and large inference runs.
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Hourly NVIDIA GPU instances — H100, H200, B200 and A100 — launched in minutes with no egress fees.
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Hosted inference endpoints for open-weight models on Lambda's own GPU fleet, billed per token.
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Lambda Superclusters Infrastructure service
Rents dedicated large-scale AI training and inference GPU clusters at supercomputer scale.
Closest alternatives 4
Similar products 80
Closest alternatives are pairs a vendor page itself compares. Similar products are matched from what each product does; nothing in that group is asserted as a rivalry.
Sources
- Total funding
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"today announced it has raised over $1.5B in Series E funding, led by TWG Global." Recorded as a floor (a Series E amount, not necessarily the cumulative total); the record's prior not-found note read only the /about page.
- Valuation
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Checked — none published
No valuation published by the company.
- Employees
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No headcount on the about page.
- Founded
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Official documentation · 4 Sep 2026
Its own about page: "Lambda was founded in San Francisco in 2012."
- Revenue
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Checked — none published
Private; no revenue published.
Something wrong here? Send a correction — quote this company id: lambda.