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Description
Lambda is building the cloud designed for superintelligence by delivering integrated AI factories that combine dense power, liquid cooling, and next-generation NVIDIA compute into turnkey systems. Its platform supports everything from rapid prototyping on single GPU instances to running massive distributed training jobs across full GB300 NVL72 superclusters. With 1-Click Clusters™, teams can instantly deploy optimized B200 and H100 clusters prepared for production-grade AI workloads. Lambda’s shared-nothing, single-tenant security model ensures that sensitive data and models remain isolated at the hardware level. SOC 2 Type II certification and caged-cluster options make it suitable for mission-critical use cases in enterprise, government, and research. NVIDIA’s latest chips—including the GB300, HGX B300, HGX B200, and H200—give organizations unprecedented computational throughput. Lambda’s infrastructure is built to scale with ambition, capable of supporting workloads ranging from inference to full-scale training of foundation models. For AI teams racing toward the next frontier, Lambda provides the power, security, and reliability needed to push boundaries.
Description
EGI's Net Station 5.4 software suite serves as a versatile platform designed for a fully integrated and networked experience in EEG, electrical source imaging, and neuromodulation, enabling your laboratory to expand and evolve. This software boasts remarkable speed and performance, facilitating rapid data processing, while featuring a streamlined dashboard for effective data review and analysis, along with an intuitive interface that simplifies learning and user training. Additionally, it is designed to be expandable, allowing for the inclusion of source imaging and neuromodulation capabilities, and ensures compatibility with external hardware and software. A notable addition is the EEGLAB plug-in, which enhances interoperability with the GES High-Density EEG System, marking the first step in a series of open-source tools aimed at making high-density EEG accessible to a wider research audience. With Net Station 5.4 Acquisition, the process of capturing EEG data is now more efficient than ever; users can easily select montages, configure filters, verify impedances, and add events directly from the main interface, streamlining the entire workflow. This innovative approach not only improves productivity but also empowers researchers to more effectively analyze and interpret their data.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AccessOwl
Yes
Caffe
Yes
EquityZen
Yes
Jupyter Notebook
Yes
Keras
Yes
NVIDIA Brev
Yes
OpsVerse
Yes
Shadeform
Yes
TensorFlow
Yes
ZenML
Yes
Integrations
AccessOwl
No
Caffe
No
EquityZen
No
Jupyter Notebook
No
Keras
No
NVIDIA Brev
No
OpsVerse
No
Shadeform
No
TensorFlow
No
ZenML
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Lambda.ai
Founded
2012
Country
United States
Website
lambda.ai
Vendor Details
Company Name
Electrical Geodesics
Website
www.egi.com/research-division/net-station-eeg-software
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Electronic Data Capture
Audit Trail
No
CRF Tracking
No
Data Entry
No
Data Verification
No
Distributed Capture
No
Document Imaging
No
Document Indexing
No
Forms Management
No
Remote Capture
No
Study Management
No