This document discusses different locations where AI computing can occur, including at the consumer edge in smartphones, the enterprise edge in devices like robotic arms and autonomous vehicles, in the cloud at data centers, in enterprise cores through appliances, and at the telecom edge. It notes that the computing can happen either on the cloud or edge, with edge preferred for its lower bandwidth and latency needs as well as better economics, reliability, and privacy. It concludes by asking what one needs to understand to use cloud or edge AI for their product.

1. SOURCE: DELOITTE INSIGHTS
DIFFERENT
PHYSICAL
LOCATIONS
WHERE
AI COMPUTING
OCCURS

2. CONSUMER EDGE
AI ONAI ON
EDGEEDGE
AI cores are part of
the System on Chip
Application Processor
Computation
done in
Smartphones

3. ENTERPRISE EDGE
AI ONAI ON
EDGEEDGE
Robotic Arms
Autonoumous vehicles
Factory 4.0 smart
units
Mixture of AI cores
and standalone ASIC
Computation
done in

4. CLOUD AI - DATA
CENTER
AI VIAAI VIA
CONNECTIVITYCONNECTIVITY
Computation in CPU,
GPU, FPGA and ASIC
Computation
done in
Data centers

5. ENTERPRISE CORE
- APPLIANCE
AI VIAAI VIA
CONNECTIVITYCONNECTIVITY
Computation in CPU,
GPU & some FPGA
Computation
done in

6. TELECOM EDGE
Computation
done in
AI VIAAI VIA
CONNECTIVITYCONNECTIVITY
Computation in CPU,
GPU & some FPGA

7. DEPENDING ON
USE CASES THE
COMPUTING CAN
HAPPEN EITHER
ON CLOUD OR
EDGE

8. EDGE IS PREFERED
BECAUSE OF
Low Bandwith
Low Latency
Good Economics
High Reliability
High Privacy

9. WHAT TO UNDERSTAND
IF YOU WANT TO USE
CLOUD OR EDGE AI FOR
YOUR PRODUCT?
Connect with us
sales@visailabs.com