investED:
Invest in #What'sNEXT
Digital Infrastructure investment education series
Yield & return dynamic
0% to 25%
The structural capacity gap
0% vs <2%
Global asset valuation
$0B to $450B
See upcoming Series
Data Centers
Data Centers, Explained: an investor's first visit. No prior experience required.
- Date
- 29 Oct · 9:00 AM
- Venue
- PAIX Data Centres
- Seats
- 13
AI Infrastructure (HPE & GPU's)
How to Diversify, Invest and Build alternative assets in the $16.5B AI Market across Africa.
- Date
- TBD
- Venue
- Capital Club of East Africa
- Seats
- Waitlist
Connectivity
How to Diversify, Invest and Build alternative assets across last-mile ISPs, Starlink and 5G.
- Date
- TBD
- Venue
- Nairobi
- Seats
- Waitlist
investED
Why you should be investED
Global institutional capital, REITs, PE, VC and private capital are deploying massive AUM in Africa data centres. A Ksh. 250 Billion+ market driven by growing demand for AI, Cloud and connectivity Infrastructure. This series is designed to empower you to understand and deploy capital in this asset class.
Why sit in the room
Not a webinar series. Every cohort runs inside an operating facility, with the operators and the capital in the same room.
Taught inside the asset
You stand in the hall you are being asked to finance. Power trains, cooling, cross-connects, seen, not described on a slide.
Numbers, not narrative
Every session works from real invoices and real lease terms. Cost per megawatt, margin per rack, and what the downside case looks like.
The operators are in the room
Ask the data centre, the ISP and the neocloud directly. The cohort caps at 24 on-site so the questions stay specific.
Africa holds a fifth of the world's people and under two percent of its compute.
That gap is the trade. Three hours, one facility, and the numbers behind the asset class: cost per megawatt, lease structure, and the routes retail, chama and institutional capital can actually take.
Collaterizing digital infrastructure, unlocking finance. Data centre operators · ISPs · cloud operators · AI labs. · siscom.tech · 0717 51 22 22