Lambda

Lambda

Lambda.ai
MInD Platform

MInD Platform

Machine Intelligence
+
+

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About

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.

About

sing our MIND platform, we develop a solution for your problem. Then, we train your staff to maintain the solution and refit the underlying models if needed. Businesses in the industrial, medical, and consumer service sectors use our products and services to automate the processes that, until recently, only humans were able to do, for example: Checking the quality of products by visual inspection. Providing quality assurance in the food industry. Counting and classifying cells or chromosomes in biomedicine. Analyzing performance in the gaming industry. Measuring geometrical characteristics (position, size, profile, distance, angle. Tracking objects in agriculture. Performing time series analyses in healthcare and sport. With our MInD platform, you can build end-to-end AI solutions in your business. It gives you all the necessary tools for the five stages of developing deep learning solutions.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

For consumer service and healthcare sectors that need an app to automate highly complex processes

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 2.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 4.0 / 5
support 2.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

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.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Lambda.ai
Founded: 2012
United States
lambda.ai

Company Information

Machine Intelligence
Hungary
mi.services

Alternatives

Alternatives

MXNet

MXNet

The Apache Software Foundation
Caffe

Caffe

BAIR

Categories

Categories

Deep Learning Features

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

Integrations

AccessOwl
Caffe
EquityZen
Jupyter Notebook
Keras
NVIDIA Brev
OpsVerse
Shadeform
TensorFlow
ZenML

Integrations

AccessOwl
Caffe
EquityZen
Jupyter Notebook
Keras
NVIDIA Brev
OpsVerse
Shadeform
TensorFlow
ZenML
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