Principal Technical Marketing Manager
Philip Hayes
Philip is a technical marketing manager in the Red Hat Runtimes group
Philip Hayes's contributions
Article
Optimize and deploy LLMs for production with OpenShift AI
Learn how to deploy LLMs like Qwen3-Coder-30B-A3B-Instruct on less infrastructure using Red Hat AI Inference Server's LLM Compressor and OpenShift AI.
Article
Benchmarking with GuideLLM in air-gapped OpenShift clusters
Learn how to deploy Red Hat AI Inference Server using vLLM and evaluate its performance with GuideLLM in a fully disconnected Red Hat OpenShift cluster.
Article
Getting started with llm-d for distributed AI inference
llm-d optimizes LLM inference at scale with disaggregated prefill/decode, smart caching, and Kubernetes-native architecture for production environments.
Article
Speech-to-text with Whisper and Red Hat AI Inference Server
Learn how to deploy a Whisper model on Red Hat AI Inference Server within a RHEL 9 environment using Podman containers and NVIDIA GPUs for speech recognition.
Article
Red Hat publishes Docker Hub images for Granite 7B LLMs and InstructLab
OCI images are now available on the registries Docker Hub and Quay.io, making it even easier to use the Granite 7B large language model (LLM) and InstructLab.
Learning path
Develop modern Java applications with JBoss EAP 8
Learn how to develop modern Java applications using JBoss EAP 8 and deploy them
Article
Secure JBoss EAP apps with Microsoft Entra ID & OpenID Connect
Learn how to secure a simple JBoss EAP 8.0 web application with Microsoft Azure authentication via OpenID Connect in this tutorial.
Article
How to use JBoss EAP 8.0's new provisioning system
Explore the new installation manager for JBoss EAP 8.0 and learn how to use it for streamlined installation and configuration.
Optimize and deploy LLMs for production with OpenShift AI
Learn how to deploy LLMs like Qwen3-Coder-30B-A3B-Instruct on less infrastructure using Red Hat AI Inference Server's LLM Compressor and OpenShift AI.
Benchmarking with GuideLLM in air-gapped OpenShift clusters
Learn how to deploy Red Hat AI Inference Server using vLLM and evaluate its performance with GuideLLM in a fully disconnected Red Hat OpenShift cluster.
Getting started with llm-d for distributed AI inference
llm-d optimizes LLM inference at scale with disaggregated prefill/decode, smart caching, and Kubernetes-native architecture for production environments.
Speech-to-text with Whisper and Red Hat AI Inference Server
Learn how to deploy a Whisper model on Red Hat AI Inference Server within a RHEL 9 environment using Podman containers and NVIDIA GPUs for speech recognition.
Red Hat publishes Docker Hub images for Granite 7B LLMs and InstructLab
OCI images are now available on the registries Docker Hub and Quay.io, making it even easier to use the Granite 7B large language model (LLM) and InstructLab.
Develop modern Java applications with JBoss EAP 8
Learn how to develop modern Java applications using JBoss EAP 8 and deploy them
Secure JBoss EAP apps with Microsoft Entra ID & OpenID Connect
Learn how to secure a simple JBoss EAP 8.0 web application with Microsoft Azure authentication via OpenID Connect in this tutorial.
How to use JBoss EAP 8.0's new provisioning system
Explore the new installation manager for JBoss EAP 8.0 and learn how to use it for streamlined installation and configuration.
