Lambda
Lambda is a GPU cloud infrastructure company providing AI compute solutions including cloud GPU services, workstations, and development tools optimized for AI/ML workloads.
https://lambdafinance.ai?ref=aipure
Product Information
Updated:Feb 16, 2025
Lambda Monthly Traffic Trends
Lambda received 2.5k visits last month, demonstrating a Slight Growth of 4.6%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Lambda
Founded in 2012 by AI engineers, Lambda is a deep learning infrastructure company that has evolved into a leading provider of GPU compute resources for AI development. The company offers a comprehensive suite of products ranging from on-demand GPU cloud services to high-performance workstations and servers. Recently valued at $1.5 billion after raising $320 million in Series C funding, Lambda has established itself as a key player in supporting AI infrastructure needs for researchers, engineers and organizations developing AI applications.
Key Features of Lambda
Lambda is a comprehensive AI compute platform offering GPU cloud services, hardware solutions, and AI infrastructure. It provides on-demand access to NVIDIA GPUs (including H100, H200, and Blackwell), cloud computing services, and AI development tools. The platform enables everything from model training to inference, with a focus on making GPU compute accessible and cost-effective for AI developers and researchers.
On-demand GPU Access: Provides flexible access to NVIDIA GPUs with pay-as-you-go pricing starting at $2.49/hr for H100 instances, with no long-term contracts required
Comprehensive AI Infrastructure: Offers complete stack from hardware to API, including workstations, servers, cloud services, and inference API for deploying AI models
Lambda Stack Software: One-line installation system for AI development tools including PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers
Enterprise-grade Scaling: Supports scaling to trillions of tokens monthly with dedicated infrastructure for both training and inference workloads
Use Cases of Lambda
AI Research and Development: Academic researchers and institutions use Lambda for developing novel model architectures in image recognition, speech generation, and NLP
Enterprise AI Deployment: Large companies utilize Lambda for training and deploying AI models at scale across their organizations
Government and Defense: Department of Defense and other government agencies leverage Lambda's infrastructure for specialized AI applications
Healthcare AI Applications: Healthcare providers like Kaiser Permanente use Lambda for developing and running medical AI models
Pros
Flexible pricing with no long-term commitments required
Comprehensive solution covering the entire AI development lifecycle
Access to latest GPU technology and AI infrastructure
Cons
Faces strong competition from major cloud providers
Hardware market dependency on NVIDIA
Limited differentiation beyond price and basic features
How to Use Lambda
Choose Lambda Service Type: Determine which Lambda service you need: Lambda Finance (for portfolio management), Lambda GPU Cloud (for AI development), or AWS Lambda (for serverless computing)
Create Account: Sign up for an account on the respective Lambda platform. For Lambda Finance, you can start with the Free tier which includes basic portfolio analysis tools
For Lambda Finance: Upload your portfolio data (up to 5 holdings in free tier), use AI chat for financial insights, analyze risk and returns, and optimize using the Efficient Frontier Model
For Lambda GPU Cloud: Create a cloud account to spin up GPU instances, select your preferred GPU type (H100, H200, etc.), and get billed hourly starting at $2.49/hr for H100 instances
Install Lambda Stack (for AI Development): Use one-line installation command to set up PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers on Ubuntu LTS systems
Configure Settings: Set up your environment variables, API keys, and necessary permissions based on your chosen Lambda service
Deploy Applications: Deploy your code, models, or financial analysis tools using the Lambda platform's interface
Monitor and Scale: Use Lambda's dashboard to monitor usage, costs, and performance. Scale resources up or down as needed
Get Support: Contact Lambda support for technical assistance or visit their documentation for detailed guides and best practices
Lambda FAQs
Lambda is both a portfolio management tool for individual investors that uses GPT-4 and financial engineering, and a GPU cloud platform built for AI developers offering NVIDIA GPU instances for AI training and inference.
Official Posts
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Analytics of Lambda Website
Lambda Traffic & Rankings
2.5K
Monthly Visits
#6676263
Global Rank
-
Category Rank
Traffic Trends: Nov 2024-Jan 2025
Lambda User Insights
-
Avg. Visit Duration
1.3
Pages Per Visit
57.08%
User Bounce Rate
Top Regions of Lambda
IN: 98.07%
IT: 1.93%
Others: NAN%
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