SlideShare a Scribd company logo
(Stanford BUS-21)
Martin Westhead
Mastering Marketing
Free is changing
How to make money
by giving things away
Overview
 Cost reduction in CPU, Storage and Bandwidth
 Why Moore’s Law works
 Atoms vs. Bits
 Inflection point in exponential growth
 Impact of Cloud computing
Triple play of
technologies
 Transistors (CPU)
- Part of the computer that does the calculations
 Storage
- Computers memory
 Bandwidth
- Network that allows computers to exchange
information
 All three are falling in price exponentially
Transistors
 In 1961 a single transistor cost
$10
- 2 years later it was $5
- By 1965 it was $2.50
- 1968 $1
- 1975 $0.10
- 1982 $0.01
 Today
- Intel 62-Core Xeon Phi: 5B
transistors
- $2500 -> 0.00005 cents
- 16Gb flash drive 64B
- $10 -> 0.00000002 cents
http://en.wikipedia.org/wiki/Transistor_count
Gordon Moore
Rounding down
 Early 60’s Fairchild Semiconductor 1211: $100
 Competing with vacuum tubes: $1.05
 Robert Noyce, Jerry Sanders rounded down
- Knew that volume production would lower price
- Offered transistors for $1.05 from the start
“We were going to make chips in a factory we hadn’t built, using a
process we hadn’t developed but the bottom line was that we
were out there next week quoting $1.05. We were selling into the
future.”
Hard drives
 Flips magnetic alignment on a
spiral of spinning disk
 Head floats 10s of nm over
the platter
 Platter spins at 4,000-
15,000rpm
 Performance improvements
from:
- Faster speeds
- Higher power magnetic heads
- Closer to the disk
- Higher quality magnetic
surface
 Spinning disks replaced with
Solid State Disks
- No moving parts
 Kryder's Law – price
performance of storage
doubles every 18 months
Bandwidth
 Speed of optical switching
 Ultimate speed limited
- Speed of light
 Can squeeze more colors down
a single fiber
 Building fast switches that work
purely with light
 Doubling in price performance
every 9 months – 1 year
Why Moore’s Law Works
 Learning curve
- One person gets better with practice
- 10-15% for each doubling in production quantity
 Experience curve
- Many people get better together
- 25% for each doubling in production quantity
 Technology innovation
- 1970’s saw 12 doublings in transistor production
- Experience curve predicts 1/13
- Actually observed: 1/1000 (!)
- Ideas based businesses
- Sustained improvement through continuous innovation
Atom vs. Bit Economy
 Rules are different for atoms
 New Free is about bits not atoms
- Falling cost of storing, processing and delivering bits
- Bits can be copied perfectly almost for free
- Near zero marginal cost
 Price of digital goods is will fall towards to zero
2nd Half of the Chessboard
 Grains of wheat on a chessboard
 Double the grains for each square
- (1 + 263)grains
 Lesson in the unexpected nature of exponential growth
 First half of the chessboard numbers are small
 Second half (inflection point) numbers go crazy
 CPU, Storage and Bandwidth are entering the 2nd half of the
chessboard
 No indication that they are slowing down
Reach for the clouds
 Scale important to reduce fixed costs
 8 years ago had to buy servers
 The Cloud changed the equation
- Start-ups can take advantage of
economies of incremental server
costs
- Web start-up needs only a credit card
- Costs scale with service
- Not as cheap as google but
- when users numbers are small costs
remain manageable
- New entrants to free have an
advantage
Summary
 Cost reduction in CPU, Storage and Bandwidth
 Why Moore’s Law works
 Atoms vs. Bits
 Inflection point in exponential growth
 Impact of Cloud computing

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Free is Changing

  • 1. (Stanford BUS-21) Martin Westhead Mastering Marketing Free is changing How to make money by giving things away
  • 2. Overview  Cost reduction in CPU, Storage and Bandwidth  Why Moore’s Law works  Atoms vs. Bits  Inflection point in exponential growth  Impact of Cloud computing
  • 3. Triple play of technologies  Transistors (CPU) - Part of the computer that does the calculations  Storage - Computers memory  Bandwidth - Network that allows computers to exchange information  All three are falling in price exponentially
  • 4. Transistors  In 1961 a single transistor cost $10 - 2 years later it was $5 - By 1965 it was $2.50 - 1968 $1 - 1975 $0.10 - 1982 $0.01  Today - Intel 62-Core Xeon Phi: 5B transistors - $2500 -> 0.00005 cents - 16Gb flash drive 64B - $10 -> 0.00000002 cents http://en.wikipedia.org/wiki/Transistor_count Gordon Moore
  • 5. Rounding down  Early 60’s Fairchild Semiconductor 1211: $100  Competing with vacuum tubes: $1.05  Robert Noyce, Jerry Sanders rounded down - Knew that volume production would lower price - Offered transistors for $1.05 from the start “We were going to make chips in a factory we hadn’t built, using a process we hadn’t developed but the bottom line was that we were out there next week quoting $1.05. We were selling into the future.”
  • 6. Hard drives  Flips magnetic alignment on a spiral of spinning disk  Head floats 10s of nm over the platter  Platter spins at 4,000- 15,000rpm  Performance improvements from: - Faster speeds - Higher power magnetic heads - Closer to the disk - Higher quality magnetic surface  Spinning disks replaced with Solid State Disks - No moving parts  Kryder's Law – price performance of storage doubles every 18 months
  • 7. Bandwidth  Speed of optical switching  Ultimate speed limited - Speed of light  Can squeeze more colors down a single fiber  Building fast switches that work purely with light  Doubling in price performance every 9 months – 1 year
  • 8. Why Moore’s Law Works  Learning curve - One person gets better with practice - 10-15% for each doubling in production quantity  Experience curve - Many people get better together - 25% for each doubling in production quantity  Technology innovation - 1970’s saw 12 doublings in transistor production - Experience curve predicts 1/13 - Actually observed: 1/1000 (!) - Ideas based businesses - Sustained improvement through continuous innovation
  • 9. Atom vs. Bit Economy  Rules are different for atoms  New Free is about bits not atoms - Falling cost of storing, processing and delivering bits - Bits can be copied perfectly almost for free - Near zero marginal cost  Price of digital goods is will fall towards to zero
  • 10. 2nd Half of the Chessboard  Grains of wheat on a chessboard  Double the grains for each square - (1 + 263)grains  Lesson in the unexpected nature of exponential growth  First half of the chessboard numbers are small  Second half (inflection point) numbers go crazy  CPU, Storage and Bandwidth are entering the 2nd half of the chessboard  No indication that they are slowing down
  • 11. Reach for the clouds  Scale important to reduce fixed costs  8 years ago had to buy servers  The Cloud changed the equation - Start-ups can take advantage of economies of incremental server costs - Web start-up needs only a credit card - Costs scale with service - Not as cheap as google but - when users numbers are small costs remain manageable - New entrants to free have an advantage
  • 12. Summary  Cost reduction in CPU, Storage and Bandwidth  Why Moore’s Law works  Atoms vs. Bits  Inflection point in exponential growth  Impact of Cloud computing