GPU-as-a-Service (GPUaaS)
AI Compute at the Community Edge
Powering AI, Smart Cities, and Digital Innovation at the Edge
Dalet Access delivers on-demand GPU-as-a-Service through secure, high-performance edge infrastructure. Our GPUaaS platform gives communities, businesses, schools, researchers, and public agencies access to advanced AI computing without the cost or complexity of owning dedicated hardware.
What Is GPU-as-a-Service?
GPU-as-a-Service provides access to powerful graphics processing units through a hosted, scalable platform. Instead of purchasing expensive servers, customers can use Dalet’s GPU infrastructure to run AI, machine learning, computer vision, simulation, analytics, and digital twin workloads.
What GPUaaS Supports
🏙️ Smart City Digital Twins
🧠 AI Model Training & Inference
🧠 AI Model Training & Inference
Create simulations for traffic, energy, emergency response, and urban planning.
🧠 AI Model Training & Inference
🧠 AI Model Training & Inference
🧠 AI Model Training & Inference
Run machine learning models, generative AI tools, and predictive analytics.
👁️ Computer Vision
🧠 AI Model Training & Inference
🏥 Healthcare & Telehealth AI
Support public safety, mobility, infrastructure monitoring, and environmental sensing.
🏥 Healthcare & Telehealth AI
🎓 Education & Workforce Training
🏥 Healthcare & Telehealth AI
Enable image analysis, remote diagnostics, and secure health-data processing.
🎓 Education & Workforce Training
🎓 Education & Workforce Training
🎓 Education & Workforce Training
Give students and workers hands-on access to AI, robotics, and data science tools.
🏢 Business Innovation
🎓 Education & Workforce Training
🎓 Education & Workforce Training
Support startups, small businesses, and enterprises with scalable AI compute.
Why Dalet GPUaaS?
✅ Lower Cost of Entry
Access GPU power without purchasing and maintaining expensive hardware.
✅ Edge-Based Performance
Reduce latency by processing data closer to where it is generated.
✅ Secure by Design
Built with Zero-Trust cybersecurity, privacy controls, and resilient infrastructure.
✅ Scalable Capacity
Start small and expand as workloads grow.
✅ Community Impact
Bring advanced AI infrastructure into underserved communities, not just major data centers.ds.
Use Cases
Public Safety:
Real-time video analytics, emergency response coordination, and situational awareness.
Education
AI labs, student training, robotics programs, and workforce development.
Healthcare
AI-assisted imaging, telehealth support, and secure clinical analytics.