Audience

Lambda is built for AI labs, enterprises, research teams, and startups that need secure, high-performance GPU infrastructure to train and deploy advanced AI systems at massive scale

About Lambda

Lambda provides high-performance supercomputing infrastructure built specifically for training and deploying advanced AI systems at massive scale. Its Superintelligence Cloud integrates high-density power, liquid cooling, and state-of-the-art NVIDIA GPUs to deliver peak performance for demanding AI workloads. Teams can spin up individual GPU instances, deploy production-ready clusters, or operate full superclusters designed for secure, single-tenant use. Lambda’s architecture emphasizes security and reliability with shared-nothing designs, hardware-level isolation, and SOC 2 Type II compliance. Developers gain access to the world’s most advanced GPUs, including NVIDIA GB300 NVL72, HGX B300, HGX B200, and H200 systems. Whether testing prototypes or training frontier-scale models, Lambda offers the compute foundation required for superintelligence-level performance.

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Integrations

API:
Yes, Lambda offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 2.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 4.0 / 5
support 2.0 / 5
More Reviews Write a Review

Company Information

Lambda
Founded: 2012
United States
lambda.ai

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Lambda Frequently Asked Questions

Q: What kinds of users and organization types does Lambda work with?
Q: What languages does Lambda support in their product?
Q: What kind of support options does Lambda offer?
Q: What other applications or services does Lambda integrate with?
Q: Does Lambda have an API?
Q: What type of training does Lambda provide?

Lambda Product Features

Artificial Intelligence

For Healthcare
Multi-Language
Chatbot
For Sales
Rules-Based Automation
Machine Learning
Natural Language Processing
Predictive Analytics
Virtual Personal Assistant (VPA)
Process/Workflow Automation
For eCommerce
Image Recognition

Deep Learning

Visualization
Image Segmentation
Document Classification
ML Algorithm Library
Self-Learning
Neural Network Modeling
Model Training
Convolutional Neural Networks

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

Lambda Additional Categories

Lambda Verified User Reviews

Write a Review
  • A Lambda GPU Cloud User
    CTO
    Used the software for: 1-2 Years
    Frequency of Use: Daily
    User Role: User
    Company Size: 100 - 499
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "The change in customer experience after their fundraising"

    Edited 2024-03-16

    Pros: They were one of the best options a few years ago. Pricing is still competitive. The biggest differentiator was the free storage option they offered.

    Cons: After fundraising the storage is now a paid option. The sad part is they decided to make money off their original customers by charging them for storage (they claim they sent an email notifying). Even assuming they did and I missed it, they would not reimburse me even though their logs clearly shows I have not used their system in months. The clear parasitic behavior of companies that maximize for short term as opposed to long term gains. Perhaps the pressure investment money flow brings to startups - it becomes all about short term optimization, at the expense of customers.

    Overall: They are still a competitive alternative for cloud computing but I would never use them again given my recent experience.

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