Overview

Deploy and manage AI infrastructure with ease.

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Parthexpand_more

Active Clusters

memory

4

4 of 4 online

GPUs Online

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30

A100 | H100 | RTX Mixed

Running Deployments

rocket_launch

3

2 scheduled/stopped

Total Inference Calls

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1,890,360

~6,980/hr active

Deploy AI in 4 Simple Steps

Follow our optimized workflow to get your models into production.

1
storage

Choose Compute

Select GPU type & cluster size

2
inventory_2

Select Model

Choose from leading models or upload

3
tune

Configure

Set environment, scaling & integrations

4
rocket_launch

Deploy

One-click deployment in minutes

Deploy Nowarrow_forward

Cluster Status

Attention
78% Load
78%
us-east-4
42% Load
42%
eu-west-1
91% Load
91%
us-west-2

Uptime

99.84%

Avg Load

58%

Recent Deployments

View All
model_training

Llama 3 70B Inference

Cluster: prod-us-east-4 • A100 SXM x8

Running
model_training

Stable Diffusion XL

Cluster: prod-eu-west-1 • A100 PCIe x4

Running
model_training

Code Llama 34B Fine-tune

Cluster: train-us-west-2 • H100 SXM x16

Scheduled
View all 5 deploymentsarrow_forward

Usage Overview

Details

75%

Utilized

Compute Usage
75%
Storage Allocation
15%
Network Overhead
10%