A brief description of a breakthrough technology of software autotuning for supercomputers and hybrid computer clusters and of ttgLabs company that develops it.
3. Competitive landscape
Competitors
(indirect)
● AMD, Intel, NVIDIA –
non-universal solutions
● Caps, GPUSystems,
Xcelerit, StarPU,… –
no optimization!
Partnership vs Competition
Our advantages
● Software optimizes itself
● Universal solution
● Shorter time-to-market
● Less developer’s skills
Up to 300-fold
performance increase*
3 0 5 10 15 20
Traditional approach (per year)
TTG Apptimizer (once)
Video Streams. Optimization efforts, days
4. Product and business model
Licensing
Cash flow
Related services
GPUs Cost, USD
1 1990
5 2530
10 3130
20 4130
30 5130
50 7130
75 9130
100 11130
TTG Apptimizer
● Dec. 2012 – stable
commercial version
● May 2013 – version 1.0.3
● First sales
● 10 contracts on services
● FIIP certificate on SW
5. Potential applications and
global market (size/CAGR)
● HPC software and services
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● Big Data
● Game engines and MW
$11B in 2015 / 9%
$7B (6%) est.*
$24B in 2016 / 32%
6. Team
Management: Pavel Ivanov
• 20 years in IT
• Management of numerous IT-projects (sofware
development, marketing)
• Solid expertise in w/w IT trends and market
Key developers: Maxim Krivov, Sergei
Grizan, Michael Pritula
• 15+ years in software development
• Dozens of projects in parallel
programming, HPC, and development tools
• Numerous wins in professional contests
• Trainings in large IT companies
• TopCoder 1611
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7. Investment needs
Investments
● $1.9M for
● TTG Apptimizer versions
for
clusters, supercomputers
, and clouds
● Marketing, network of
partners, sales channels
● Share up to 25%
● IRR = 87%
● ROI in 4 years
Exit
● Sale of a share to
● Investment Foundation
● Intel, AMD, NVIDIA
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