Ready to experience the next generation of machine intelligence compute? Try cutting-edge #IPU technology for free on for world-leading performance across NLP, computer vision, #GNNs and more:
hubs.la/Q01r0xCb0
Pinned Tweet
Follow
graphcore
@graphcoreai
We invented the Intelligence Processing Unit (IPU) to let innovators create next generation machine intelligence.
graphcore’s Tweets
What's the best way to tackle the challenges of scaling out #AIcompute for Scientific workloads?
During the #SC22 ScalAH workshop this Sunday, Graphcore will reveal how advances in compute will let innovators accelerate the mega-models of the future: hubs.la/Q01rFzy50
1
4
How will emerging areas within #AI like large models and ultra-intelligence drive future scientific innovation?
Don’t miss our Fireside Chat with & next week at #SC22, Booth 3215.
Full Theatre agenda here: hubs.la/Q01rDsXn0
1
The US Department of Energy's National Lab adds the latest Graphcore Bow IPU Pod to its Argonne Leadership Computing Facility
2
4
Don’t miss Graphcore at #SC22: come to Booth 3215 to discover how you can transform your scientific applications with next generation AI models, from large Foundation Models to #GraphNeuralNetworks.
Check out our agenda and book a meeting with us here:
Prepare to unlock tomorrow’s largest #AI models with tips on cutting-edge #machinelearning tools, methods and real-world implementation insights from , Graphcore and .
Join our fireside chat next week at #SC22 – see our full agenda here: hubs.ly/Q01rDFfT0
2
ONE DAY LEFT: Join us for the webinar 'Accelerating Deep Learning for Molecular Modeling Applications' tomorrow at 10am PST!
This webinar is FREE to attend, register here: hubs.ly/Q01nSqSw0
#acceleration #deeplearning #molecularmodeling #applications #data #hardware
2
6
Improving the scalability of training next generation #AI models is essential for accelerating scientific discovery.
Join our #molecularmodeling webinar with tomorrow to learn how you can achieve faster time to results: hubs.la/Q01rDmn50
1
2
Don't miss our Birds of a Feather with at #SC22 where we will reveal how to accelerate hybrid scientific AI/HPC applications using IPU systems, originally designed for AI workloads.
Learn more about this session: hubs.la/Q01r0y4l0
1
1
Join Graphcore at #SC22: at Booth 3215 we'll explore emerging directions for AI and show you how to deploy advanced machine learning in production to make your own scientific breakthroughs.
Check out our agenda and book a meeting with us here:
Since GPT-3 was made available, large language models have dominated the public discourse around cutting-edge machine intelligence. Find out how foundation models are transforming AI: hubs.la/Q01r0sv-0
#NLP #GPT3 #AI
3
What's the best way to tackle the challenges of scaling out #AIcompute for Scientific workloads? During the #SC22 ScalAH workshop, Graphcore will reveal how advances in compute will let innovators accelerate the mega-models of the future.
More info: hubs.la/Q01qLGLV0
C++ computer scientist? Why not join our workshop low-level #programming on the #IPU in London next week? Led by our AI experts, you'll learn to build applications for advanced computing on next-gen hardware.
Apply now:
2
2
Find out how you can achieve faster time to results and state-of-the-art performance for novel Graph Neural Network model SchNet at our upcoming webinar with - sign up to watch: hubs.la/Q01qK7qD0
#GNN #GraphNeuralNetworks #SchNet
4
Get access today to Graphcore IPUs for free from your browser in seconds with .
Here's a quick and easy guide to help you get started, featuring a #visiontransformer model from the Optimum library: hubs.la/Q01qtNq_0
0:16
278 views
3
6
Join our Birds of a Feather with at #SC22. This session will explore the possibilities presented by a hybrid system capable of solving both #HPC & #AI scientific problems and reveal how to accelerate hybrid HPC applications.
Register now: hubs.la/Q01qtP230
1
Join us for an introduction to low-level #programming on the #IPU in London on 2-3 November. Led by our AI experts, this workshop is for C++ computer scientists looking to build applications for advanced computing on next-gen hardware.
Apply now:
7
7
Unlock the hidden value of your text data.
Business leaders can now utilise advanced natural language processing to their advantage, extracting actionable insights from text at speed without touching a line of code.
Learn more: hubs.la/Q01q9WVL0
#NLP #Data #AI
1
Don’t miss Graphcore at #SC22: come to Booth 3215 to discover how you can transform your scientific applications with next generation AI models, from large Foundation models to #GraphNeuralNetworks.
Check out our agenda and book a meeting with us here:
2
Improving the scalability of training next generation #AI models is essential for accelerating scientific discovery.
Find out how you can achieve faster time to results at our #molecularmodeling webinar with - register here: hubs.la/Q01pVrDX0
1
3
PhD student Pawel Radtke participated in the PPAM 22 conference - as always a highlight of the conference year - and won the workshop prize. Congratulations!
2
3
Developer deep-dive on SDK 3.0's Poplar Triton Backend: enabling Triton Inference Server on Graphcore IPUs.
1
1
Find out how researchers at deliver near real-time traffic journey time predictions at scale, thanks to #GraphNeuralNetwork accelerations on Graphcore IPUs: hubs.la/Q01px8x50
#GNN #AI #IPU
1
Don't forget to register for our FREE webinar, hosted by Graphcore on 'Accelerating Deep Learning for Molecular Modeling Applications' (Tuesday November 8, 2022)
Register here: hubs.ly/Q01nSw_X0
#acceleration #deeplearning #molecularmodeling #applications #data #hardware
3
3
From language translation to image generation, foundation AI models have captured the public imagination - but what will the compute demands of the next generation look like?
3
7
I show you how to accelerate Transformer training with Optimum Graphcore, an open-source library by that leverages the processor, and Graphcore-enabled notebook on julsimon.substack.com/p/video-accele #machinelearning #deeplearning #nlp #hardware
2
9
Training large AI models 🤖 in lower precision fp16 is no easy task! But when done right, it can lead to lower memory footprint, greater throughput and less power consumption.
That's why at we develop in-house tools like automatic loss scaling. Want to know more?
Quote Tweet
Read our deep-dive on Automatic Loss Scaling, as features in Graphcore's Poplar SDK 3.0.
hubs.ly/Q01nSs6Q0
1
2
7
Show this thread
#European countries have been working towards European Digital Sovereignty for a couple of years now. At , headquartered in Luxembourg, we teamed up with digital leaders , and to build a next-generation AI cloud, "made in Europe" (1/5
1
1
1
Show this thread
In Healthcare, AI practitioners are often tempted to shoehorn data into their preferred model, but the fact is that real-world data is messy.
At , Luke Markham explained how to tame complex datasets with Graph Neural Networks: hubs.la/Q01p4c6R0
#GNN #ML
1
4
Graphcore are at #MIT tomorrow for the inaugural #DeepLearning in Business Forum with and the Industrial Liaison Program.
This year's event is invite-only and only offered in-person - we’ll be sharing select highlights and recordings throughout.
4
Tensorflow Serving is now fully supported by Graphcore as part of our Poplar SDK 3.0 release.
2
1
Poplar SDK 3.0 is available now, with a range of updates and additions to Tensorflow Serving, Automatic Loss Scaling, Triton backend and more.
3
4
Read our deep-dive on Automatic Loss Scaling, as features in Graphcore's Poplar SDK 3.0.
5
7
Tim Santos, Director of Devrel at will be presenting “Accelerating NLP Pipelines with Hardware-Software Synergies” at the #NLPSummit 2022.
Register, and learn more: hubs.li/Q01nMDtm0
#mlops #ai #datascience #ml #dl #textmining #casestudies
2
1
Improving the scalability of training next generation #AI models is essential for accelerating scientific discovery.
Join this session with and Graphcore for insights into leveraging neural networks for #molecularmodeling: hubs.la/Q01nM6qX0
3
5
Did you know you can access IPUs for free from your browser in seconds with ?
Here's a quick and easy guide to help you get started, featuring a #visiontransformer model from the Optimum library: hubs.la/Q01nxLwb0
0:16
1K views
4
7
Graph neural networks (GNNs) are AI models designed to derive insights from unstructured data described by graphs and an ideal fit for the Graphcore IPU, designed from the ground up for #AI expressed as graphs.
Learn how to get started with #GNNs today: hubs.la/Q01njlXn0
4
12
Der weltgrößte Auftragsfertiger hilft den Briten mit einem völlig neuen Produktionsverfahren. Dahinter steckt Kalkül. Auch prominente Kapitalgeber wie Bosch sehen viel Potenzial beim Chipdesigner.
2
5