Choose from leading open-source models
Llama-3 8B Instruct
Llama 3 is an auto-regressive language model that uses an optimized transformer architecture.
Mixtral-8x7B-Instruct
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
DBRX Instruct
DBRX Instruct is a mixture-of-experts (MoE) large language model trained from scratch by Databricks.
4x Faster
inferencing compared to the other inference APIs.
11x Cheaper
model serving on any cloud or region with high availability.
Highly Scalable
inference to meet your API request volume.
Train/Fine-Tune
Train, Evaluate and Fine-Tune state-of-the-art ML models
Train
Train your own LLMs and other generative AI models on a robust and flexible infrastructure.
Fine-Tune
Improve your task accuracy by fine-tuning leading open-source models with your data.
Summarization
Workflow Automation
Copilots
Analyzing Structured Data
Reinforcement Learning
Anomaly & Fraud Detection
Audio Classification
Medical Diagnosis Support
Personal Assistant
Medical Imaging
Customer Sentiment Analysis
Bot Detection
Tabular Classification
Object Detection
Image Classification
Automatic Speech Recognition
Depth Estimation
Image Segmentation
Translation
Video Classification
Tabular Regression
Summarization
Workflow Automation
Copilots
Analyzing Structured Data
Reinforcement Learning
Anomaly & Fraud Detection
Audio Classification
Medical Diagnosis Support
Personal Assistant
Medical Imaging
Customer Sentiment Analysis
Bot Detection
Tabular Classification
Object Detection
Image Classification
Automatic Speech Recognition
Depth Estimation
Image Segmentation
Translation
Video Classification
Tabular Regression
Summarization
Workflow Automation
Copilots
Analyzing Structured Data
Reinforcement Learning
Anomaly & Fraud Detection
Audio Classification
Medical Diagnosis Support
Personal Assistant
Medical Imaging
Customer Sentiment Analysis
Bot Detection
Tabular Classification
Object Detection
Image Classification
Automatic Speech Recognition
Depth Estimation
Image Segmentation
Translation
Video Classification
Tabular Regression
Summarization
Workflow Automation
Copilots
Analyzing Structured Data
Reinforcement Learning
Anomaly & Fraud Detection
Audio Classification
Medical Diagnosis Support
Personal Assistant
Medical Imaging
Customer Sentiment Analysis
Bot Detection
Tabular Classification
Object Detection
Image Classification
Automatic Speech Recognition
Depth Estimation
Image Segmentation
Translation
Video Classification
Tabular Regression
Job Queues & Batch Processing
Everything you need to build an AI product
Environments
Connected
30 cores • A100 • 200 GiB
Offline
4 cores • T4 • 32Gi
app.py
Define container images and hardware specs in code, and serve any function as HTTPS endpoints.
Storage
Name
Type
App Name
model-weight
Persistent
Llama70B
config
Shared
fine-tune
config
Shared
fine-tune
config
Shared
fine-tune
app.py
Easily provision network volumes, key-value stores, and queues using powerful cloud primitives that feel like regular Python.
Scheduling
Replica #1
11 tasks
Replica #2
5 tasks
app.py
Transform functions into cron jobs with just one line of code. Execute compute-intensive tasks without blocking your backend.
Hub
Host your
Models
for simple storage, discovery and collaboration
Models. A place for sharing and discovering trained machine learning models ready-to-deploy and fine-tune.
sdxl-simpsons-charcters
niva
Update config.json (#101)
Scheduler
added support for abort and chat completion types
text_encoder
added support for abort and chat completion types
Datasets. Explore, analyze and share datasets for Audio, Computer Vision, and Natural Language Processing (NLP) tasks.
wikipedia
Updated 3 days ago
34.4k
640
bloomspeech
Updated 5 days ago
3.3k
111
openfeedback
Updated 11 days ago
5k
11k
music-genbox
Updated 7 days ago
500
551
ML Portfolio. Create a personalized ML profile, share your work globally, and collaborate with teams using Git.
500
36
Katara Murphy
kataramurphy
21k
followers
.
11k
following
https://kataramurphy.com
https://github.com/kataramurphy
Explore
Models
Host machine learning models.
Datasets
Host datasets for training.
Inference Endpoint
Deploy models in production.
Fine-Tuning
Train, fine-tune, or process data.
AutoML
Train, fine-tune, or process data.
Enterprise Ready
Deploy on your own infrastructure
A100-80GB
outpost-cluster.onoutpost.com
AWS
123456789
Azure
123456789
GCP
123456789
Connect
Connect your AWS, GCP, or Azure account to automatically provision the resources required to manage your infrastructure.
Deploy
Deploy ML models to your cloud with the Outpost SDK, ensuring data privacy and access to an OpenAI-compatible API.
Scale
Outpost dynamically scales across multiple cloud providers based on traffic, ensuring fast cold boots.
