Glossary
AI as a Service (AIaaS)
What is AI as a Service (AIaaS)?
AI as a Service (AIaaS) delivers artificial intelligence tools and capabilities through cloud platforms, making them accessible to businesses without heavy upfront investments. AIaaS provides access to AI tools and capabilities without needing an in-house infrastructure or expertise.
Organizations can integrate AI into their operations using ready-made APIs, frameworks, and applications, accelerating innovation while minimizing complexity. AIaaS gives easy access to powerful technologies like machine learning, natural language processing, and computer vision.
Key aspects of AIaaS
AIaaS is transforming how organizations access and implement artificial intelligence by removing traditional barriers to entry. Its key strengths lie in its:
Scalability — AIaaS platforms offer on-demand scalability, letting organizations easily adjust resources and services based on project needs, without being locked into a rigid infrastructure.
Cost-effectiveness — Instead of investing in expensive hardware and software, businesses pay only for the AI services they use, making advanced technology affordable for companies of all sizes.
Cloud-based — Because AIaaS operates through the cloud, it ensures rapid deployment, seamless updates, and easy integration with other cloud-native applications and services.
Businesses can scale resources up or down as needed, avoiding rigid infrastructure commitments. With a pay-as-you-go model, companies reduce capital expenditures and make advanced AI tools accessible regardless of size or budget.
Wasabi object storage for AI
Efficient AI development and deployment require vast amounts of high-performance storage, including training models, dataset management, and analytics. Even though Wasabi doesn’t directly offer AIaaS, it complements AI/ML workflows by providing:
Storage for AI training datasets (such as large video, image, or sensor data).
Immutable storage for securing AI output or training sets from tampering or ransomware.
Affordable storage to seamlessly scale your data lake