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What is Predibase?

Declarative machine learning systems present an exceptional blend of adaptability and user-friendliness, enabling swift deployment of innovative models. Users focus on articulating the “what,” leaving the system to figure out the “how” independently. While intelligent defaults provide a solid starting point, users retain the liberty to make extensive parameter adjustments, and even delve into coding when necessary. Our team leads the charge in creating declarative machine learning systems across the sector, as demonstrated by Ludwig at Uber and Overton at Apple. A variety of prebuilt data connectors are available, ensuring smooth integration with your databases, data warehouses, lakehouses, and object storage solutions. This strategy empowers you to train sophisticated deep learning models without the burden of managing the underlying infrastructure. Automated Machine Learning strikes an optimal balance between flexibility and control, all while adhering to a declarative framework. By embracing this declarative approach, you can train and deploy models at your desired pace, significantly boosting productivity and fostering innovation within your projects. The intuitive nature of these systems also promotes experimentation, simplifying the process of refining models to better align with your unique requirements, which ultimately leads to more tailored and effective solutions.

What is AWS EC2 Trn3 Instances?

The newest Amazon EC2 Trn3 UltraServers showcase AWS's cutting-edge accelerated computing capabilities, integrating proprietary Trainium3 AI chips specifically engineered for superior performance in both deep-learning training and inference. These UltraServers are available in two configurations: the "Gen1," which consists of 64 Trainium3 chips, and the more advanced "Gen2," which can accommodate up to 144 Trainium3 chips per server. The Gen2 model is particularly remarkable, achieving an extraordinary 362 petaFLOPS of dense MXFP8 compute power, complemented by 20 TB of HBM memory and a staggering 706 TB/s of total memory bandwidth, making it one of the most formidable AI computing solutions on the market. To enhance interconnectivity, a sophisticated "NeuronSwitch-v1" fabric is integrated, facilitating all-to-all communication patterns essential for training large models, implementing mixture-of-experts frameworks, and supporting vast distributed training configurations. This innovative architectural design not only highlights AWS's dedication to advancing AI technology but also sets new benchmarks for performance and efficiency in the industry. As a result, organizations can leverage these advancements to push the limits of their AI capabilities and drive transformative results.

Media

Media

Integrations Supported

Amazon Redshift
Apache Hive
LiteLLM
MySQL
Opik
PostgreSQL
Python
Snowflake

Integrations Supported

AWS Batch
AWS Inferentia
AWS ParallelCluster
AWS Trainium
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon SageMaker HyperPod
Amazon Web Services (AWS)
Hugging Face
JAX
PyTorch

API Availability

Has API

API Availability

Pricing Information

Pay-as-you-go pricing
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Predibase

Company Location

United States

Company Website

predibase.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/trn3/

Categories and Features

AI Development

Not specified

AI Fine-Tuning

Not specified

AI Infrastructure

Not specified

Machine Learning

Not specified

ML Model Deployment

Not specified

Categories and Features

AI Fine-Tuning

Not specified

AI Inference

Not specified

AI Infrastructure

Not specified

Deep Learning

Not specified

Machine Learning

Not specified

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