Lambda GPU Cloud Description

Train advanced models in AI, machine learning, and deep learning effortlessly. With just a few clicks, you can scale your computing resources from a single machine to a complete fleet of virtual machines. Initiate or expand your deep learning endeavors using Lambda Cloud, which allows you to quickly get started, reduce computing expenses, and seamlessly scale up to hundreds of GPUs when needed. Each virtual machine is equipped with the latest version of Lambda Stack, featuring prominent deep learning frameworks and CUDA® drivers. In mere seconds, you can access a dedicated Jupyter Notebook development environment for every machine directly through the cloud dashboard. For immediate access, utilize the Web Terminal within the dashboard or connect via SSH using your provided SSH keys. By creating scalable compute infrastructure tailored specifically for deep learning researchers, Lambda is able to offer substantial cost savings. Experience the advantages of cloud computing's flexibility without incurring exorbitant on-demand fees, even as your workloads grow significantly. This means you can focus on your research and projects without being hindered by financial constraints.

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Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Vast.ai offers the lowest-cost cloud GPU rentals. Save up to 5-6 times on GPU computation with a simple interface. Rent on-demand for convenience and consistency in pricing. You can save up to 50% more by using spot auction pricing for interruptible instances. Vast offers a variety of providers with different levels of security, from hobbyists to Tier-4 data centres. Vast.ai can help you find the right price for the level of reliability and security you need. Use our command-line interface to search for offers in the marketplace using scriptable filters and sorting options. Launch instances directly from the CLI, and automate your deployment. Use interruptible instances to save an additional 50% or even more. The highest bidding instance runs; other conflicting instances will be stopped.
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Pricing

Pricing Starts At:
$1.25 per hour

Integrations

API:
Yes, Lambda GPU Cloud has an API
View Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support
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Company Details

Company:
Lambda
Year Founded:
2012
Headquarters:
United States
Website:
lambdalabs.com/service/gpu-cloud

Media

Lambda GPU Cloud Screenshot 1
Lambda GPU Cloud Screenshot 1 Lambda GPU Cloud Screenshot 2 Lambda GPU Cloud Screenshot 3
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
In Person
Customer Support
Business Hours
Live Rep (24/7)
Online Support

Lambda GPU Cloud Features and Options

Artificial Intelligence Software

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

Machine Learning Software

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

Deep Learning Software

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

Lambda GPU Cloud User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: CTO
    Length of product use: 1-2 Years
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    The change in customer experience after their fundraising

    Edited: Mar 16 2024

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

    Positive: 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.

    Negative: 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.

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