Pixis Description
To make marketing intelligent, agile, and scalable, you need a strong AI blueprint. With the only hyper-contextual AI infrastructure, you can orchestrate data-driven marketing actions across all your efforts. Flexible AI models that can be trained on diverse datasets from multiple silos, which cater to the most diverse use cases. The infrastructure hosts models that are ready to go and require no training. Our UI makes it easy to use our proven algorithms and create custom rule-based strategies. You can enhance your campaigns across platforms by using the best strategies that are tailored to your specific parameters. To achieve the highest levels of efficiency, you can leverage self-evolving AI models which inform and interact with each other. You can access dedicated artificial intelligence systems that continuously learn, communicate, and optimize your marketing effectiveness.
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Run:AI
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OctoAI
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Model endpoints that are fast and efficient, with the freedom to run any type of model. OctoAI models can be used or you can bring your own. Create ergonomic model endpoints within minutes with just a few lines code. Customize your model for any use case that benefits your users. You can scale from zero users to millions without worrying about hardware, speed or cost overruns.
Use our curated list to find the best open-source foundations models. We've optimized them for faster and cheaper performance using our expertise in machine learning compilation and acceleration techniques.
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Amazon SageMaker Model Training
Amazon SageMaker Model training reduces the time and costs of training and tuning machine learning (ML), models at scale, without the need for infrastructure management. SageMaker automatically scales infrastructure up or down from one to thousands of GPUs. This allows you to take advantage of the most performant ML compute infrastructure available. You can control your training costs better because you only pay for what you use. SageMaker distributed libraries can automatically split large models across AWS GPU instances. You can also use third-party libraries like DeepSpeed, Horovod or Megatron to speed up deep learning models. You can efficiently manage your system resources using a variety of GPUs and CPUs, including P4d.24xl instances. These are the fastest training instances available in the cloud. Simply specify the location of the data and indicate the type of SageMaker instances to get started.
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Integrations
Company Details
Company:
Pixis
Year Founded:
2018
Headquarters:
United States
Website:
pixis.ai/
Media
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Product Details
Platforms
SaaS
Type of Training
Documentation
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