Alphabetical List of All Documents

A | B | C | D | E | G | I | J | K | M | O | P | R | S | T | U | V

A

AI Software Stack is Now Customer-Driven: A white paper from Cambrian AI Research examining the growing momentum of the Poplar software stack and ecosystem
Approved Servers: Specification of servers approved for use with IPU-Machines and IPU-POD systems.

B

BMC User Guide: User guide that defines the functions and the interfaces provided by the BMC software on an IPU-Machine (IPU-M2000 and Bow-2000).
Bow Pod Direct Attach Build and Test Guide: Instructions for assembling the hardware, installing the software, and then testing a single Bow-2000 direct attach system.
Bow Pod Expansion Guide: Instructions to expand Bow Pod systems. Expansions described: Bow Pod₁₆ direct attach to Bow Pod₆₄, and Bow Pod₆₄ to larger Bow Pod systems.
Bow Pod16 Reference Design Datasheet: Technical specifications for the Bow Pod₁₆ reference design.
Bow Pod256 Reference Design Datasheet: Technical specifications for the Bow Pod₂₅₆.
Bow Pod64 Reference Design Datasheet: Technical specifications for the Bow Pod₆₄ reference design.
Bow Pod64 Reference Design: Build and Test Guide: Instructions for assembling the hardware, installing the software, and then testing a Bow Pod₆₄ system.
Bow-2000 IPU-Machine Datasheet: Technical specifications for the Bow-2000 IPU-Machine.

C

C600 Datasheet: Technical specification for the C600 PCIe Gen4 card.
C600 PCIe Accelerator: Power and Thermal Control: Power consumption, fan control, and thermal protection mechanisms for C600 cards
C600 PCIe SMBus Interface: SMBus specification for C600 cards
C600 Power and Thermal Control <https://docs.graphcore.ai/projects/c600-power-thermal-control/>`__: Power consumption, fan control, and thermal protection for C600 cards
C600 数据手册: C600 Gen4卡技术参数
Command Line Tools: User guide for the command line tools that provide information on the current status of the connected hardware. These tools are included with the Poplar SDK.

Container License Agreement

Contribution License Agreement (CLA): Terms for contributing to Graphcore open source projects
Creating Custom Operations for the IPU: An overview of the steps for implementing a custom op in each of the frameworks available in the Poplar SDK

D

Dictionary of Graphcore Terminology: A dictionary of specialised terms related to Graphcore technology

E

End User License Agreement (EULA)

G

GCL User Guide and API Reference: Description of the classes and functions in the GCL library
Gcore Cloud: Getting Started with IPUs: How to access IPUs and run ML applications on Gcore Cloud
Getting Started with Bow Pod Systems: Installing the Poplar SDK and setting up the Bow Pod ready to run your application
Getting Started with Graphcloud: How to access IPUs and run ML applications on Graphcloud
Getting Started with IPU-POD Systems: Installing the Poplar SDK and setting up the IPU-POD ready to run your application
Getting Started with IPU-POD4 DA and IPU-POD16 DA: Installing the Poplar SDK and setting up the IPU-POD DA ready to run your application
Glossary: A dictionary of specialised terms related to Graphcore technology
Graphcore Approved Servers: Specification of servers approved for use with IPU-Machines and IPU-POD systems.
Graphcore Command Line Tools: User guide for the command line tools that provide information on the current status of the connected hardware. These tools are included with the Poplar SDK.
Graphcore IPU Based Systems with Weka Data Platform: An example reference architecture has been developed in partnership with Weka using the Weka data platform for AI with a Graphcore Pod.
Graphcore IPU Info Library (gcipuinfo): User guide for the Graphcore IPU Info library (gcipuinfo). This library provides an API for monitoring and gathering information about the IPUs available in a system, and the applications using them.
Graphcore OpenStack Reference Design for IPU-POD Systems: A reference configuration of an IPU‑POD₆₄ deployed with OpenStack management software
Graphcore Pod with DDN Storage: An example reference architecture has been developed in partnership with DDN storage solutions using a DDN AI400X2 storage system with a Graphcore Pod.
Graphcore’s AI Software Stack is Now Customer-Driven: A white paper from Cambrian AI Research examining the growing momentum of the Poplar software stack and ecosystem

I

ICU Recovery Mode (911): Information for recovering from ICU error states, for example after a failed firmware update.
IPU Based Systems with Weka Data Platform: An example reference architecture has been developed in partnership with Weka using the Weka data platform for AI with a Graphcore Pod.
IPU Inference Toolkit Quick Start: Deploy a trained model to a C600 IPU
IPU Inference Toolkit User Guide: Deploy trained models to Graphcore IPU products conveniently and quickly
IPU Info Library (gcipuinfo): User guide for the Graphcore IPU Info library (gcipuinfo). This library provides an API for monitoring and gathering information about the IPUs available in a system, and the applications using them.
IPU Programmer’s Guide: An introduction to the IPU architecture, programming model and tools available
IPU TensorFlow Serving 1 User Guide: Information on exporting models from TensorFlow 1 and running them on IPUs using TensorFlow Serving
IPU TensorFlow Serving 2 User Guide: Information on exporting models from TensorFlow 2 and running them on IPUs using TensorFlow Serving
IPU 推理工具包快速入门: 将训练后的模型部署到 C600 IPU
IPU 推理工具包用户指南: 方便快捷地将训练好的模型部署到Graphcore IPU产品

IPU-M Software Release Notes

IPU-M2000 IPU-Machine Datasheet: Technical specifications for the IPU-M2000 IPU-Machine.
IPU-POD Direct Attach Build and Test Guide: Instructions for assembling the hardware, installing the software, and then testing an IPU‑POD₁₆ system.
IPU-POD Expansion Guide: Instructions to expand IPU-POD systems. Expansions described: IPU‑POD₄ direct attach to IPU‑POD₁₆ direct attach, IPU‑POD₁₆ direct attach to IPU‑POD₆₄ and IPU‑POD₆₄ to larger IPU-POD systems.
IPU-POD128 Data Centre Checklist: A checklist to confirm requirements for data centres installing IPU‑POD₁₂₈ systems.
IPU-POD128 Reference Design Datasheet: Technical specifications for the IPU‑POD₁₂₈.
IPU-POD128 Reference Design: Build and Test Guide: Instructions for assembling the hardware, installing the software, and then testing an IPU‑POD₁₂₈ system.
IPU-POD16 Direct Attach Datasheet: Technical specifications for the IPU‑POD₁₆.
IPU-POD64 Reference Design: Build and Test Guide: Instructions for assembling the hardware, installing the software, and then testing an IPU‑POD₆₄ system.
IPU-POD64 Data Centre Checklist: A checklist to confirm requirements for data centres installing IPU‑POD₆₄ systems.
IPU-POD64 Reference Design Datasheet: Technical specifications for the IPU‑POD₆₄.
IPU-POD64 Reference Design: Installation and Integration Guide: Requirements and a high-level best practice guide for deploying the IPU‑POD₆₄ into a data centre environment.

J

Jupyter Notebook Quick Start: Run an application on IPUs from a Jupyter Notebook

K

Keras with IPUs: The Graphcore implementation of TensorFlow 2 includes Keras support for IPUs
Kubernetes IPU Device Plugin License: License details for use of the Kubernetes IPU Device Plugin
Kubernetes IPU Device Plugin User Guide: Manage IPU resources
Kubernetes IPU Device Plugin 用户手册: 管理IPU资源
Kubernetes IPU Operator License: License details for use of the Kubernetes IPU Operator

Kubernetes IPU Operator Release Notes

Kubernetes IPU Operator User Guide: Kubernetes Operator support for IPUs.

M

Memory and Performance Optimisation on the IPU: Optimising high-performance machine learning models running on the IPU
MIT license: PopLibs, PopTorch, PopART and Poprithms are licensed under the MIT license
Mixed-Precision Arithmetic for AI: A Hardware Perspective: The IPU’s hardware and software architectures support fast and efficient training and inference of deep learning models using mixed precision arithmetic
Model Parallelism on the IPU with TensorFlow: Sharding and Pipelining: Ways of parallelising TensorFlow models on IPU hardware
Model Runtime: User Guide: A library built on the Poplar runtime to enable loading and running models stored in the Poplar Exchange Format (PopEF) on the IPU.
Monitoring Hardware Quick Start: Some tips on how to troubleshoot possible hardware problems

O

OpenStack Reference Design for IPU-POD Systems: A reference configuration of an IPU‑POD₆₄ deployed with OpenStack management software
Optimising for the IPU: Computational Graph Recompilation and Executable Switching in TensorFlow: Strategies to minimise recompilation when running code on the IPU
Optimising Temporary Memory Usage for Convolutions and Matmuls on the IPU: Using the “available memory proportion” option to optimise memory use or performance

P

Paperspace: Getting Started with IPUs: How to access IPUs and run ML applications on Paperspace
Pod Deployment Datacentre Checklist: A checklist to confirm requirements for data centres installing Pod systems.
Pod Maintenance Guide: User guide that describes how to replace field-serviceable parts in a Pod system or in an IPU-Machine.
Pod with DDN Storage: An example reference architecture has been developed in partnership with DDN storage solutions using a DDN AI400X2 storage system with a Graphcore Pod.
PopART Quick Start: Run a PopART application
PopART User Guide: The Poplar Advanced Runtime (PopART) for importing and executing models using the ONNX format
PopDist and PopRun: User Guide: User guide for configuring and running distributed applications. The Poplar Distributed Configuration Library (PopDist) provides an API to prepare applications for distributed execution and PopRun is the command line utility to launch distributed applications on Pod systems.
PopEF: User Guide: A file format for exporting and importing models to run on the IPU, and a library for managing those files
Poplar and PopLibs API Reference: Description of the classes and functions in the Poplar and PopLibs libraries
Poplar and PopLibs User Guide: Information on how to use the Poplar graph programming tools to write code for the IPU
Poplar Quick Start: Run an application directly in the Poplar Graph Programming Framework
Poplar SDK Overview: A description of the Poplar SDK with instructions for downloading and installing

Poplar SDK Release Notes

Poplar Triton Backend: User Guide: Information on the Poplar Triton backend: what it is used for, how to install it and how to use it
PopRT User Guide: Tool for converting and compiling trained models for running on a C600 IPU
PopRT 用户指南: 工具：转换和编译在 C600 IPU 上运行的训练好的模型
PopSparse Matrix Multiplication (Dynamic Pattern) on the IPU: A high-level description of the algorithmic design of the dynamic sparse matrix multiplication in the Graphcore PopSparse library
PopVision Analysis Library (libpva) User Guide: The PopVision analysis library can be used for programmatic analysis of Poplar profiling information

PopVision Graph Analyser Release Notes

PopVision Graph Analyser User Guide: The Graph Analyser can be downloaded from the PopVision tools web page

PopVision System Analyser Release Notes

PopVision System Analyser User Guide: The System Analyser can be downloaded from the PopVision tools web page
PopVision Trace Instrumentation Library: The PopVision trace instrumentation library provides functions to capture data used by the PopVision System Analyser
PopXL User Guide and API (experimental): User Guide and API reference for working with PopXL
Porting TensorFlow 1 models to the IPU: A practical guide to porting TensorFlow models to the IPU using the Poplar SDK.
Porting TensorFlow 2 Models Quick Start: A short description of how to port TensorFlow 2 models to the IPU, including code snippets to help
Pre-Training and Fine-Tuning BERT for the IPU: BERT-Large implementation on Graphcore IPU-POD systems, using both TensorFlow and PyTorch
Profiling Quick Start: Profile code that runs on the IPU as well as code that runs on the host server
PyTorch for the IPU: User Guide: User guide and API reference for PyTorch on the IPU
PyTorch Geometric for the IPU: User Guide: User guide and API reference for PyTorch Geometric on the IPU
PyTorch Quick Start: Run a PyTorch application

R

rack_tool(1): User guide for the tool that allows you to perform operations related to one or more IPU-Machines in a rack.

S

Scaling AI with Graphcore and Pure Storage: An example reference architecture, developed with Pure Storage, using FlashBlade storage with the IPU-POD
Switched GW-Links in large scale Pod systems: Using switched GW-Links to connect IPU-Machines in large-scale switched Pod systems

T

Targeting the IPU from TensorFlow 1: User guide and API reference for the IPU implementation of TensorFlow 1
Targeting the IPU from TensorFlow 2: User guide and API reference for the IPU implementation of TensorFlow 2
TensorFlow 1 Quick Start: Run a TensorFlow 1 application
TensorFlow 1 User Guide: User guide and API reference for the IPU implementation of TensorFlow 1
TensorFlow 2 Quick Start: Run a TensorFlow 2 application
TensorFlow 2 User Guide: User guide and API reference for the IPU implementation of TensorFlow 2
Tile Vertex Instruction Set Architecture for Mk2 IPUs: Tile vertex instruction set architecture (ISA) for Mk2 IPUs. This contains a subset of the instruction set used by the Worker threads.
Tile Vertex Instruction Set Architecture for Mk2 IPUs with FP8 Support: Tile vertex instruction set architecture (ISA) for Mk2 IPUs with FP8 support. This contains a subset of the instruction set used by the Worker threads.
Tutorials: Tutorials to help you get started using the Poplar SDK and Graphcore tools to run code on the IPU. You can also access these from the GitHub examples repository.

U

Using IPUs from Docker: User guide explaining how to run applications in Docker on a Linux machine using one or more physical IPUs.
Using MACVLAN with Kubernetes: Using Kubernetes with MACVLAN to provide access to the RDMA network interface.

V

V-IPU Administrator Guide: User guide for administrators of data centre clusters based on the Graphcore® Virtual-IPU™ (V-IPU). The V-IPU management software provides a control plane for large-scale multi-tenanted deployments of IPUs.

V-IPU Slurm Workload Manager Release Notes

V-IPU User Guide: User guide for users of data centre clusters based on the Graphcore® Virtual-IPU™ (V-IPU). The V-IPU management software provides a control plane for large-scale multi-tenanted deployments of IPUs.