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Remove Run on Gradient links #27

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14 changes: 1 addition & 13 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -5,12 +5,10 @@

# :red_circle: **Non-official experimental** :red_circle: JAX on Graphcore IPU

[![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/graphcore-research/jax-experimental?container=graphcore%2Fpytorch-jupyter%3A3.1.0-ubuntu-20.04&machine=Free-IPU-POD4&file=%2Fipu%2Fexamples%2Fjax_ipu_quickstart.ipynb)
![Continuous integration](https://github.com/graphcore-research/jax-experimental/actions/workflows/jax-ipu-tests-public.yaml/badge.svg)

[**Install guide**](#installation)
| [**Quickstart**](#minimal-example)
| [**IPU JAX on Paperspace**](#jax-on-ipu-paperspace-notebooks)
| [**Documentation**](#documentation)

:red_circle: :warning: **Non-official experimental** :warning: :red_circle:
Expand Down Expand Up @@ -50,7 +48,7 @@ For SDK 3.2, please change `jaxlib` version to `jaxlib==0.3.15+ipu.sdk320`.

## Minimal example

The following example can be run on [Graphcore IPU Paperspace](https://www.paperspace.com/graphcore) (or on a non-IPU machine using the IPU emulator):
The following example can be run on an IPU (or on a non-IPU machine using the IPU emulator):

```python
from functools import partial
Expand All @@ -66,16 +64,6 @@ output = ipu_function(data)
print(output, output.device())
```

## JAX on IPU Paperspace notebooks

* [JAX on IPU quickstart](ipu/examples/jax_ipu_quickstart.ipynb) [![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/graphcore-research/jax-experimental?container=graphcore%2Fpytorch-jupyter%3A3.1.0-ubuntu-20.04&machine=Free-IPU-POD4&file=%2Fipu%2Fexamples%2Fjax_ipu_quickstart.ipynb)
* [JAX `pmap` on IPUs quickstart](ipu/examples/jax_ipu_pmap_quickstart.ipynb) [![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/graphcore-research/jax-experimental?container=graphcore%2Fpytorch-jupyter%3A3.1.0-ubuntu-20.04&machine=Free-IPU-POD4&file=%2Fipu%2Fexamples%2Fjax_ipu_pmap_quickstart.ipynb)
* [Stateful linear regression on IPU](ipu/examples/jax_ipu_linear_regression.ipynb) [![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/graphcore-research/jax-experimental?container=graphcore%2Fpytorch-jupyter%3A3.1.0-ubuntu-20.04&machine=Free-IPU-POD4&file=%2Fipu%2Fexamples%2Fjax_ipu_linear_regression.ipynb)
* [MNIST neural net training on IPU](ipu/examples/jax_ipu_mnist_neural_net_training.ipynb) [![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/graphcore-research/jax-experimental?container=graphcore%2Fpytorch-jupyter%3A3.1.0-ubuntu-20.04&machine=Free-IPU-POD4&file=%2Fipu%2Fexamples%2Fjax_ipu_mnist_neural_net_training.ipynb)
* [GNN training on IPU](ipu/examples/jax_ipu_gnn_training.ipynb) [![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/graphcore-research/jax-experimental?container=graphcore%2Fpytorch-jupyter%3A3.1.0-ubuntu-20.04&machine=Free-IPU-POD4&file=%2Fipu%2Fexamples%2Fjax_ipu_gnn_training.ipynb)
* [JAX `pjit` on IPUs quickstart](ipu/examples/jax_ipu_pjit_quickstart.ipynb) [![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/graphcore-research/jax-experimental?container=graphcore%2Fpytorch-jupyter%3A3.1.0-ubuntu-20.04&machine=Free-IPU-POD4&file=%2Fipu%2Fexamples%2Fjax_ipu_pjit_quickstart.ipynb)


**Additional JAX on IPU examples:**

* [JAX on IPU quickstart notebook](ipu/examples/ipu_quickstart.ipynb);
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