Graphcore builds advanced processors for machine intelligence.

1. © Graphcore Ltd 2016
Intro for Project Juno
Simon Knowles CTO, 18-Oct-16
| accelerated intelligence

2. © Graphcore Ltd 2016
Graphcore builds processors for machine intelligence.
Intelligence is the capacity for judgement, informed by knowledge, adapted with experience.
• Judgement is computation which delivers probable answers to intractable problems.
• Knowledge is a data model … a probability distribution which summarizes salient features and
correlations in experienced data.

3. © Graphcore Ltd 2016
There are 4 basic intelligence processes…
• Learning is condensing data into a probability model.
• Explanation is summarizing the content of the model.
• Prediction is using the model to deduce probable outputs, given inputs.
• Inference is using the model to deduce probable inputs, given outputs.
As computation, all are optimization processes … one computing machine can realistically be
good at all of them, at least for a given model structure.

4. © Graphcore Ltd 2016
The extent of intelligence depends on…
• the capacity and efficiency of the model,
• the amount and relevance of the experience data,
• the efficacy of algorithms for learning, explanation, prediction, and inference,
• the speed and efficiency of processors executing the algorithms.
Knowledge models are naturally graphs…
• vertices are features
• edges are correlations/causations

5. © Graphcore Ltd 2016
Computation on knowledge models is a new workload, and different…
• Graphs expose huge parallelism
• Sparsity changes memory access patterns
• Static structure allows compiler to do more work
• Model values are low-resolution
The first big application for very high performance!
compute on very low precision data?
MSR ResNet-50 CNN
25k maps, 16M activations, 26M parameters

6. © Graphcore Ltd 2016
CPU
Scalar-centric
Designed for office apps
Evolved for web serving
GPU
Vector-centric
Designed for graphics
Evolved for HPC
IPU
Graph-centric
Designed for intelligence
A new processor class will emerge…

7. © Graphcore Ltd 2016
Won’t GPUs just get faster?
Kepler K40
4.3Tflop/235W
Maxwell M40
5.8Tflop/250W
Pascal P100
9.5Tflop/300W
1.3x
2 years
1.4x
2 years
100x
~33 years?
Flops/Watt…

8. © Graphcore Ltd 2016
Intelligence is the future of all computing. There will be new everything.
• Models will be diverse … NNs will not be all.
• Machines will be diverse … a “master architecture” is no more likely than a “master algorithm”.
• Processors will dominate … target utility of decades in a field that is nascent.
Efficient silicon will not be “neuromorphic”… different materials favour different structures; we have
not copied animal evolution in locomotion or power.

9. © Graphcore Ltd 2016
Graphcore is…
• advanced … design started 2 years ago
• expert … at designing new processors for new markets
• funded … over-subscribed at Series A
We will formally announce our mission and support in the next few weeks.

10. © Graphcore Ltd 2016