AMD Pervasive AI Contest blog

_blog.yml

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     - guide
     - llm
     - nlp
-    - tgi
+    - tgi
+
+- local: amd_pervasive_developer_ai_contest
+  title: "AMD Pervasive AI Developer Contest!"
+  author: guruprasadmp
+  thumbnail: /blog/assets/amd_pervasive_developer_ai_contest/amd_developer_general_abstract.jpg
+  date: Feb 14, 2024
+  tags:
+    - partner
+    - amd

amd_pervasive_developer_ai_contest.md

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+---
+title: "AMD Pervasive AI Developer Contest!"
+thumbnail: assets/amd_pervasive_developer_ai_contest/amd_developer_general_abstract.jpg
+authors:
+- user: guruprasadmp
+---
+
+# AMD Pervasive AI Developer Contest
+
+AMD and Hugging Face are actively engaged in helping developers seamlessly deploy cutting-edge AI models on AMD hardware. 
+This year, AMD takes their commitment one step further by providing developers free, hands-on access to state-of-the-art AMD hardware through their recently announced [Pervasive AI Developer Contest](https://www.hackster.io/contests/amd2023#challengeNav). 
+This global competition is an incubator of AI innovation, beckoning developers worldwide to create unique AI applications.
+Developers can choose from three exciting categories: Generative AI, Robotics AI, and PC AI, each of these category entitled to a cash prices up to $10,000 USD for winners and a total of $160.000 USD being giving away.
+700 AMD platforms are up for grabs to eligible participants. 
+Don’t miss your chance to receive an AMD Radeon ™ PRO W7900, AMD Kria ™ KR260 Robotics Starter Kit, Ryzen ™ AI powered PC or cloud access to an AMD Instinct ™ MI210 accelerator card.
+
+## AMD + Hugging Face Collaboration
+For those focusing on large language model development, Hugging Face and AMD have made significant strides to provide out-of-the-box support on AMD GPUs. 
+Our combined efforts include the ability to run HF transformer models without the need for code modifications allowing for seamless operation. 
+On top of native support, additional acceleration tools like ONNX models execution on ROCm-powered GPU, Optimum-Benchmark, DeepSpeed for ROCm-powered GPUs using Transformers, GPTQ, TGI and more are supported.
+Additionally, for those applying for the PC AI contest category to develop on AMD Ryzen AI Powered PCs, we are continuously growing our pre-trained model zoo to support a wide variety of models enabling developers to get started in building AI applications swiftly.
+
+
+## Sign Up Today
+We invite you to be innovative, and to contribute to shaping what AI can achieve and we at Hugging Face look forward to the new solutions this contest will bring to light. 
+To participate, please register over [here](https://www.hackster.io/contests/amd2023#challengeNav)
+