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Joined June 2015
3,122 Photos and videos
Deploy private #AI code assistants for your developers with Model-as-a-Service on #RedHat #OpenShift AI 3.4. Curate model endpoints, track token usage per team, and maintain sovereignty over your AI infrastructure, all through standardized APIs. red.ht/4eCSvvs
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Automate your #AI evaluation gates with the #EvalHub CLI. Submit jobs, monitor status, and retrieve results, all from your CI/CD pipeline. Exit codes propagate failures automatically, blocking merges when thresholds aren't met. red.ht/4geCBIQ
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🆕: Take control of your privacy settings with cookie preferences. Enable required cookies for basic functionality or accept all cookies for a personalized experience. Customize your choices to opt out of data collection for advertising purposes. red.ht/4sNabZe
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đź“° Hot off the press: Boost #developer productivity with @RedHat Developer Hub 1.10. Scaffold new projects in minutes using Software Templates, leverage Lightspeed AI assistant (now GA), and enjoy persona-aware homepages with RBAC controls. red.ht/4g0xcFt
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Transform LLM inference with intelligent scheduling. The llm-d project implements prefix-cache-aware routing that factors in queue depth and real-time load, so your GPUs stop doing work they don't need to do. red.ht/3QhOD9U
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Friction between IT ops and devs? You need more than just new tools. The Red Hat Application Platform Foundations engagement assesses your SDLC gaps and helps build a standardized software factory to empower your teams. Learn how: red.ht/3SgTVD4
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Stop fighting your tools and start shipping code. 🛠️ The Grumpy Developer's Guide to #OpenShift is a no-nonsense, hands-on guide to mastering CI/CD, GitOps, and S2I—no #K8s expertise required. Build smarter, not harder. red.ht/4jU8eaH
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Red Hat Developer retweeted
Jun 10
Helion is a PyTorch-native hardware agnostic kernel DSL designed for writing high-performance kernels using a tile-programming model. In our latest blog post, Sean Chen (@RedHat) and Yanan Cao (PyTorch, @Meta) explored integrating Helion kernels with @vllm_project and evaluated their performance across a range of LLM inference workloads, showing impressive performance speedups thanks to Helion’s Ahead-of-Time autotuning and fine-grained runtime dispatching. Let’s dive into kernel fusion, framework design, and end-to-end benchmarking, showing how Helion can be easily integrated into vLLM and bring significant benefits. Read the full technical deep dive 👉 pytorch.org/blog/portable-vl…
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Private app dev, optimized. Use #NVIDIA Nemotron models via Models-as-a-Service on your own multi-tenant #RedHat #AI infra. ⚡Scale fast: red.ht/3ROmEz8
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Integrate your proprietary evaluation harness into #EvalHub's orchestration layer. The bring-your-own-framework pattern closes the gap between custom eval logic and platform-managed experiment tracking, artifact persistence, and collection-based scoring. red.ht/3ROF2YH
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