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Description

Elice AI Cloud Runbox is a managed GPU cloud that utilizes container technology to facilitate rapid AI development, experimentation, and model training, eliminating the need for users to set up infrastructure from the ground up. It offers preconfigured execution environments that allow users to quickly activate high-performance GPU or NPU resources, enabling them to start executing code, training models, or testing workloads almost instantly. By supporting scalable AI research with parallel GPU capabilities, including H100 and B200 infrastructure, Runbox enables teams to accelerate their experiment cycles and break through the limitations of local or on-premises hardware. The platform’s preconfigured nature allows researchers and developers to concentrate on their projects rather than on managing operating systems, containers, drivers, or ensuring runtime compatibility. Additionally, direct access to object storage from any instance ensures that datasets remain accessible across various environments while minimizing data-transfer delays between experiments. This streamlined approach ultimately enhances productivity and fosters innovation in AI research and development.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AccessOwl No 
Caffe No 
EquityZen No 
Jupyter Notebook No 
Keras No 
NVIDIA Brev No 
OpsVerse No 
Shadeform No 
TensorFlow No 
ZenML No 

Integrations

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

Pricing Details

$3.57 per hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook 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 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Elice

Founded

2016

Country

Korea

Website

elice.io/en/cloud/runbox

Vendor Details

Company Name

Lambda.ai

Founded

2012

Country

United States

Website

lambda.ai

Product Features

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 

Alternatives

Alternatives