achieve operational efficiency with AI blueprints enabling faster automation rollout and reduced manual effort across teams
report improved scalability through standardized deployment pipelines and consistent performance optimization using NexaStack Blueprint
experience simplified integration and orchestration, leading to smoother workflows and accelerated delivery cycles
realize better decision-making with real-time insights, intelligent automation, and streamlined data-to-action processes
Design tailored interfaces and data filters that align with business context, enhancing decision clarity through adaptive AI visualizations
Enable real-time AI inference at the edge to ensure low-latency, high-speed decisions across connected environments
Adopt AI blueprints pre-configured for industry needs and integrate effortlessly into existing platforms with minimal disruption
Deploy intelligent agents that interpret visual data, act independently, and support autonomous operations across workflows
Ray
Flyte
PyTorch
Keras
ONNX Runtime
vLLM
DeepSpeed
DeepSeek
Llama
Mistral AI
Stable Diffusion
Whisper
Inference server integration: Performance strategy focuses on optimising model deployment for scalability, low latency, and efficient performance
Deploying an OCR model with easyocr and nexaStack enables efficient text extraction, integration, and real-time model performance monitoring
Scaling open-source models: The market bridge explores strategies to operationalise open-source AI models for enterprise-grade deployment
Knowledge retrieval excellence with RAG enables accurate, context-aware responses by combining real-time retrieval with generative AI