Organizations increasingly require real-time, highly scalable computing platforms in industries such as financial services, telecommunications, retail, SaaS, and IoT. This has spurred rapid advancements in chips, servers, storage and software for in-memory computing. We will review the state of in-memory computing today and offer some thoughts on where it is headed tomorrow as companies strive to create real-time, massively scalable Fast Data solutions.

1. THE IN-MEMORY COMPUTING LANDSCAPE:
LEADING THE FAST DATA REVOLUTION
ABE KLEINFELD
PRESIDENT & CEO
GRIDGAIN SYSTEMS
See all the presentations from the In-Memory
Computing Summit at http://imcsummit.org

2. NOT WHAT I’LL BE TALKING ABOUT TODAY

3. REALLY FAST. SO WHAT?
1 Billion
Transactions per Second
10 Dell R610 blades
1 TB Memory
= $25K

4. BACK TO THE FUTURE
“…there’s only one commercially available
computer capable of real time
performance… It’s the ideal system
for…simulation and on-line data reduction.
It solves complex problems from purely
sensed data at speeds that are compatible
with real-time control.
Because of its ability to reduce large
volumes of data at tremendous speeds,
the…system easily handles even the most
difficult problems.
Univac Scientific Computer ad in 1956:

5. WHY NOW?
COSTOFRAM
The economics are irresistible
The demand is
insatiable

6. THE ASCENT OF IN-MEMORY COMPUTING
 15 years ago a huge application could have as many as 50,000 users and gigabytes of data
 Today, we deal with millions or billions of connected users and things, and terabytes or
petabytes of data
 Speed and scale define today’s hottest computing sectors
 Cloud
 SaaS
 Mobile and IoT platforms
 Real-time security and risk assessment
 Social networks
 On-line retail
 Gaming
 FinTech

7. IT’S ABOUT SPEED AND SCALE
8 zettabytes in 2015 growing to 35 in 2020
0
5
10
15
20
25
30
35
2009 2010 2015 2020
Growth of Global Data
ZettabytesofData
Global internet device forecast

8. IMC IS ABOUT MORE THAN JUST MEMORY
 Yes, there’s Memory… but it’s also about
 Distributed computing
 High availability
 Convergence
 Of data storage models (Hadoop, RDBMS, NoSQL, KV…)
 Of Processing models (OLAP, OLTP)
 Of memory and storage – will there be a difference in the future?
 Open source

9. OPEN SOURCE IS EATING THE WORLD

10. IMC’S LIMITATIONS ARE DISAPPEARING
 How much can you store in Memory?
 Does everything need to be in Memory?
 Are the economics of Memory compelling enough?
 What happens to data in Memory when the power goes off?

11. IMC IS HOW YOU BUILD MODERN SYSTEMS
 You’re either building for the future, or you’re building
yesterday’s systems
 Modern apps must be built for speed and scale
 A growing proportion of apps are being built in the cloud,
for the cloud – they will never run on-premise
 IT must drive innovation, competitive differentiation, at
decreasing cost
 IMC is the most powerful innovation enabler and cost
reducer since the internet
 HTAP and a simplification of the software infrastructure
stack will drive massive IT cost reductions

12. WHAT WILL IMC ENABLE?
 Smart Homes
 Smart Cities
 Megacities
 Adaptive Traffic Control/Driverless Roadways
 Implantable devices for real-time health
monitoring
 Biometrics that inform and protect us
 Smart Energy Grid
 Augmented Reality
 Cashless Society & Real Time Payments
 AI-based Surveillance & Security
 Anticipatory Intelligence
 Cognitive Systems go from assistant to partner
 Robot Automation/Machine Monitoring
 The Internet of Flying Things

13. AND MAYBE A FEW PARADIGM SHIFTS
 The shift from Products to
Platforms
 Apple
 Amazon
 Gaming companies
 Auto companies
 …

14. AND MAYBE A FEW PARADIGM SHIFTS
 Jobs are for Machines
 Deep Learning
 Robotics
 AI

15. AND MAYBE A FEW PARADIGM SHIFTS
 Jobs are for Machines
 Deep Learning
 Robotics
 AI

16. YOU ARE DEFINING THE FUTURE