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Accelerated Datasets
Reduce the Runtime & Memory Requirements of your Workloads by more than 50% with Accelerated Datasets
Pryce Turner
Pryce Turner
•
July 10, 2024

Reduce the Runtime & Memory Requirements of your Workloads by more than 50% with Accelerated Datasets

Bioinformaticians and ML engineers often need to balance performance versus cost when running data-intensive workloads.
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Serverless
Introducing Union Serverless
Haytham Abuelfutuh
Haytham Abuelfutuh
•
June 28, 2024

Introducing Union Serverless

Orchestrate your AI, with serverless execution and pay-as-you-go pricing.
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Agents
Cut OpenAI Batch Pipeline Costs by Over 50% with Zero Container Overhead
Samhita Alla
Samhita Alla
•
June 18, 2024

Cut OpenAI Batch Pipeline Costs by Over 50% with Zero Container Overhead

OpenAI real-time client is ideal for real-time responses, especially for use cases and needs where price is not a factor...
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Artifacts
Data-aware, Event-driven AI Orchestration with Artifacts
Niels Bantilan
Niels Bantilan
•
June 3, 2024

Data-aware, Event-driven AI Orchestration with Artifacts

Artifacts provide a core abstraction that serves as an interface between the different teams that work together to build AI-powered products.
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Article
Scaling patterns for batch workloads on K8s
Haytham Abuelfutuh
Haytham Abuelfutuh
•
May 29, 2024

Scaling patterns for batch workloads on K8s

Batch workloads often involve large data processing and dependency on other batch workloads.
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Model Deployment
AWS
Union unveils a powerful model deployment stack built with AWS Sagemaker & NVIDIA Triton inference server
Samhita Alla
Samhita Alla
•
May 23, 2024

Union unveils a powerful model deployment stack built with AWS Sagemaker & NVIDIA Triton inference server

Machine learning engineering is a complex process, spanning data procurement and processing, model training, deployment, and scaling.
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