AI Toolkit
Out of the box, Apolo spins up a full-fledged AI/ML development environment with all the tools you need at your fingertips. If you don’t see something you want on the table, let us know, and we’ll add it to your deployment.
All the tools you need
Benefits
Open-source
All tools are open-source.
Unified environment
All tools are installed in the same cluster.
Python
CV and NLP projects on Python.
Resource agnostic
Deploy on-prem, in any public or private cloud, on Apolo or our partners' resources.
Streamline Data Management
Data preparation — collection, consolidation, cleansing, and labeling — can eat up to 80% of your productive time. With Apolo, you do the experimentation while the platform handles the mundane. Connect all the necessary data sources (cloud or on-premises) and have data pipelines for automatic extraction or batch fetching in a suitable format set up for you.
When configuring your ML environment, we ensure that all incoming data gets automatically validated against the set parameters and then transferred to a centralized repository.
Benefit from access to ready-to-use feature sets for model training, re-training, and validation.
Optimize Infrastructure Management
Can’t find the right balance between underpowering and overpowering your machine-learning projects? We can help determine when, where, and how to deploy AI applications at a minimal cost for maximum gains.
Your custom-built Apolo platform provides complete visibility into models’ GPU/CPU usage across nodes and clusters, enabling you to continuously optimize job scheduling and resource allocation.
We also keep the data-hungry models at bay while ensuring that other ML pipelines get access to the right amount of storage they need at the optimal speed your networks can muster.
Deploy ML models with confidence
Unlike other proprietary AI/MLOps platforms, Apolo does not constrain how you can deploy your models. Rely on containers or serve your models as API services using the framework you prefer—Flask, Spring, or TensorFlow.js.
Do you have another approach? We accommodate that, too.
At any rate, we’d help you set up semi-automated pipelines for risk-averse model deployments and ensure that your models can be easily integrated with or within other apps. Similarly, we help you stay flexible with your choice of supporting libraries, tools, notebooks, or cloud computing resources.
We can add, upgrade, or replace any component of your MLOps platform as per your latest needs to ensure that your team has access to the exact resources they need for the upcoming project.
Apolo Ecosystem
Transparent budgeting & control of AI development costs
Resource agnosticism
Simple scaling
Interoperability with best-in-breed ML/DL tools, libraries, and SDKs
A unified environment with
CLI, API, and web interfacesRemote Collaboration
Reduction of the CO2 footprint of your AI development
80%
Reduction in related DevOps and MLOps expenses
Your team can focus on actual AI development, leaving hardware provisioning and pipelines setup to Apolo.
24
Hours to Launch
Apolo GPUs and AI development toolkit will be up and running within 1 business day. Get your AI workloads ready!
70%
Reduction in Time-to-Market
Teams using Apolo significantly reduce their AI models' time-to-market.
Contact us
Whether you have a request, a query, or want to partner with us, use the form below to get in touch with our team.
We will get back to you within 2 business days, but probably much sooner.
300 SW 1st Ave, Suite 155, Fort Lauderdale, FL 33301
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