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Tachyum				Prodigy	TM	
T6437A8	
Radoslav	“Rado”	Danilak-	CEO	Tachyum	
•  Over	25	years	of	industry	experience	and	over	100	patents	designing	state-of-the-art	processing	systems	
•  Co-Founder	and	CTO	of	SandForce	acquired	by	LSI	in	2011		
•  CEO	and	Co-Founder	of	Skyera,	sold	to	Western	Digital	
•  Chipset	and	GPU	architect	at	nVidia,	CPU	architect	at	Nishan	Systems	and	Toshiba,	and	chief	architect	
							of	64b	x86	CPU	at	Gizmo	Tech	
Universal	Processor	Platform
Introduction	
•  Tachyum: Universal Processor / Artificial Intelligence HPC Chip
•  2020 Real-Time Simulation of Human Brain Sized Neural Networks
•  Big AI for Datacenters for Free
5/18/18 Tachyum Confidential and Proprietary prepared for GLOBSEC 2018 2
Real-Time	Human	Brain	Simulation:	1019	Flops	in	2020	
5/18/18 Tachyum Confidential and Proprietary prepared for GLOBSEC 2018 3
Gigaflop:	109	
Teraflop:	1012	 Exaflop:	1018	
GB	
TB	
PB	
EB	
Neurons	
Memory	
Rat	Brain	
Human	Brain	
T6437A8	
Prodigy	Chip	
2020	Prodigy	Datacenter	
Performance	Petaflop:	1012
Tachyum	Universal	Processor	/	AI	Chip	
•  First time humanity can simulate human
brain sized neural networks in real-time
•  Prodigy is Universal Server / AI HPC Chip
•  Tachyum is a chip supplier to system builders
•  Prodigy is Best of CPU, GPU and TPU
•  CPU: easy to program, costly & power hungry
•  GPU: very hard to program but much faster
•  Great for: Symbolic AI, General AI, Bio AI
•  Critical tool for the Human Brain Project
5/18/18 Tachyum Confidential and Proprietary prepared for GLOBSEC 2018 4
CPU	
TPU	GPU	
Best	Of	
Unsupervised	
Supervised	
Shallow	Deep	
Recurrent	
Convolutional	
Neural	
Boosting	
Perceptron	
SVM	
SP	
Bayes	
Deep	Belief	
Sparse/Denoising	
M.	Ranzato	
Restricted	BM	
GMM	
Sparse	Coding	
Autoencoder	
Deep	
Learning
Big	AI	for	Datacenters	for	Free	
•  Universal Processor / AI chip:
10x more AI using idle servers
•  60-80% of server time wasted
<5% of server have AI GPU
•  Processors are not good for AI
and GPU or TPUs are used
5/18/18 Tachyum Confidential and Proprietary prepared for GLOBSEC 2018 5
Amazon	EC2	Day	
Facebook	Day	
20	
21	
22	
23	
00	
01	
02	
03	
04	
05	
06	
07	
08	
09	
10	
11	
12	
13	
14	
15	
16	
17	
18	
19	
20	
00	
01	
02	
03	
04	
05	
06	
07	
08	
09	
10	
11	
12	
13	
14	
15	
16	
17	
18	
19	
20	
21	
22	
23	
CPU	Utilization	%
10%	of	Planet’s	Energy	Consumed	by	Cloud	in	2030	
•  Datacenters today consume 2% total electricity
•  Consume 40% more power than UK
•  10% of planet energy by 2030
•  15% growth: is 2x every 5 years
•  40% of planet energy by 2040
•  New Technology is needed
•  To continue technology growth
5/18/18 Tachyum Confidential and Proprietary prepared for GLOBSEC 2018 6
One	More	Thing	…	
•  Much smaller servers = 10x reduction in footprint
5/18/18 Tachyum Confidential and Proprietary prepared for GLOBSEC 2018 7
5/18/18 Tachyum Confidential and Proprietary prepared for GLOBSEC 2018 8
Summary	
•  Tachyum: Universal Processor / Artificial Intelligence HPC Chip
•  2020 Real-Time Simulation of Human Brain Sized Neural Networks
•  Big AI for Datacenters for Free
5/18/18 Tachyum Confidential and Proprietary prepared for GLOBSEC 2018 9

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