Lambda

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Lambda provides a comprehensive solution for building, training, and deploying machine learning models. It simplifies workflow and enhances productivity for data scientists and engineers.
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Pricing:
May 02 2025
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Lambda

Lambda

0
0
60.6K
Lambda
Lambda provides a comprehensive solution for building, training, and deploying machine learning models. It simplifies workflow and enhances productivity for data scientists and engineers.
Added on:
Social & Email:
Platform:
Pricing:
May 02 2025
Pay-as-you-go
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What is Lambda?

Lambda is designed to streamline the workflow of data scientists by offering powerful tools for building, training, and deploying machine learning models. Key features include high-performance GPU and cloud solutions, which enable quick experimentation and model iteration. Additionally, Lambda supports various machine learning frameworks, allowing users to seamlessly integrate their existing workflows while harnessing the power of AI and ML technologies.

Who will use Lambda?

  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers

How to use the Lambda?

  • Step1: Sign up or log in to the Lambda platform.
  • Step2: Choose your preferred machine learning framework.
  • Step3: Upload your dataset and configure the training parameters.
  • Step4: Start training your model using Lambda's GPU resources.
  • Step5: Monitor the training process and make necessary adjustments.
  • Step6: Deploy your trained model for production use.

Platform

  • web
  • linux

Lambda's Core Features & Benefits

The Core Features

  • GPU Cloud Infrastructure
  • Model Training
  • Model Deployment
  • Integrated Development Environment

The Benefits

  • Enhanced productivity
  • Faster model training and deployment
  • Supports multiple ML frameworks

Lambda's Main Use Cases & Applications

  • Training AI models
  • Deploying machine learning applications
  • Collaborative data science projects

Lambda's Pros & Cons

The Pros

Access to latest high-performance NVIDIA GPUs such as B200, H200, and H100
Flexible GPU cloud offerings including private clouds, on-demand instances, and one-click clusters
Supports serverless AI inference with no rate limits
Lambda Stack provides easy installation and management for popular AI frameworks like PyTorch and TensorFlow
Used by over 50,000 machine learning teams indicating industry trust and reliability

The Cons

Open source status is unclear or not fully transparent
No direct consumer-facing apps or multi-platform presence such as mobile applications or browser extensions
Potential complexity and cost for smaller teams not requiring large-scale GPU infrastructure

Lambda's Pricing

Has free planNo
Free trial details
Pricing modelPay-as-you-go
Is credit card requiredNo
Paid from2.49 USD
Has lifetime planNo
Billing frequencyHourly

Details of Pricing Plan

On-Demand NVIDIA H100

2.49 USD
  • Latest NVIDIA H100 Tensor Core GPUs
  • Billed per hour

1-Click Clusters with NVIDIA B200

2.99 USD
  • NVIDIA HGX B200 GPUs
  • Multi-node clusters
  • No long-term contract required
For the latest prices, please visit: https://lambdalabs.com

FAQs of Lambda

Lambda Company Information

Analytic of Lambda

Visit Over Time

Monthly Visits
60.6k
Avg Visit Duration
00:00:21
Page Per Visit
1.63
Bounce Rate
50.89%
Nov 2025 - Jan 2026 All Traffic

Geography

Top 5 Regions
United States
49.83%
India
13.8%
Vietnam
6.88%
France
4.27%
Germany
3.47%
Nov 2025 - Jan 2026 Worldwide Desktop Only

Traffic Sources

Direct
56.63%
Search
34.78%
Referrals
6.35%
Social
1.57%
Paid Referrals
0.61%
Mail
0.05%
Nov 2025 - Jan 2026 Desktop Only

Top Keywords

KeywordTrafficCost Per Click
lambda labs18.0k $ 19.58
lambda workstation410 $ 11.94
lambdalab900 $ 22.23
lambda lab450 $ --
build a gpu from scratch60 $ --

Lambda Reviews

5/5
Do You Recommend Lambda? Leave a Comment Below!

Lambda's Main Competitors and alternatives?

  • AWS SageMaker
  • Google AI Platform
  • Azure Machine Learning

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