Many companies are rushing to harness the full potential of AI and ML in their internal workflows and customer-facing applications. However, efforts can be hampered by the exorbitant costs of cloud storage and inference, and challenges in procuring GPUs for processing.
Telnyx Cloud Storage offers cost-effective object storage with S3-compatible APIs. File summary and embeddings allows users to gain quick insights from their data and prime internal files for use in AI model training and fine-tuning.
Embeddings can be saved for users to easily query text, or use in Inference to enhance operational efficiency, and find quick cost savings.
Benefits
Lightning quick file summaries
Upload files to AI-enabled storage buckets, and we’ll automatically summarize the contents.
AI
powered summaries
Create embeddings from stored data
AI-enabled buckets allow you to create embeddings from your data for fast, contextualized inference.
1
platform for cloud storage and AI
Choose which LLM is best for you
Query your embeddings with models from MosaicML, Meta, and more
20+
OS LLMs to query your storage buckets
Easily sign up at portal.telnyx.com within seconds to create your free Telnyx portal account. Now you have access to Telnyx’s full suite of applications.
Create your first storage bucket with a few clicks or a simple API command. Make sure to mark the buckets as AI-enabled.
Upload files to your buckets for easy storage and instant summarization. Create unlimited buckets at no additional cost.
In AI-enabled buckets create embeddings from your stored data with the lcik of a button—for use in model training, fine-tuning, and inference.
We've built our API so you can point your S3-centric applications at Telnyx endpoints for easy migration and a faster way to realize your cost savings.
Our new Migration API makes it easy to switch from AWS to Telnyx, without incurring high egress fees.
Easily incorporate AI into your apps and manage AI infrastructure, data storage, embeddings and inference in one place.
AI, or Artificial Intelligence, refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding.
ML, or Machine Learning, is a subset of AI. It's a method of data analysis that automates analytical model building. It's based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.