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#redhatai — Public Fediverse posts

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  1. RT @vllm_project: 🚀 Es freut mich zu sehen, dass @RedHatAI und das Team von @poolsideai zusammenarbeiten, um Laguna XS.2 in vLLM schneller und kostengünstiger bereitzustellen. Ein DFlash-Spezulator, der mit Speculators entwickelt wurde, entnimft 8 Tokens pro Vorwärtsdurchlauf, was zu einer 2- bis 3-fach schnelleren Dekodierung ohne Qualitätsverlust führt. LLM Compressor ermöglicht FP8-, NVFP4- und INT4-Checkpoints, sodass Sie Ihr Hardware-Budget optimal nutzen können. 🔗 vllm.ai/blog/2026-05-28-lagu… Red Hat AI (@RedHatAI) hat Laguna XS.2 von @poolsideai, ein 33B-MoE-Modell für agentic coding, trainiert. Red Hat AI hat einen DFlash-Spezulator dafür entwickelt: 0,6B Drafter, 8 Tokens pro Durchlauf, ohne Qualitätsverlust. FP8-, NVFP4- und INT4-Checkpoints über LLM Compressor. Modelle in den Kommentaren. Geschwindigkeitssteigerung mit @vllmproject: Video — nitter.net/RedHatAI/status/206

    mehr auf Arint.info

    #AIOptimization #CodingAI #LLMCompressor #MachineLearning #RedHatAI #vLLM #arint_info

    https://x.com/vllm_project/status/2060875400121864266#m

  2. Red Hat and Tesla engineers tackled a real production problem together.

    3x output tokens/sec, 2x faster TTFT on Llama 3.1 70B with KServe + llm-d + vLLM. Fixes pushed upstream to KServe along the way.

    This is what open source looks like. 🤝 🚀

    llm-d.ai/blog/production-grade

    #RedHat #Tesla #RedHatAI #vLLM #Pytorch #Kubernetes #OpenShift #KServe #llmd #Llama #OpenSource

  3. Red Hat and Tesla engineers tackled a real production problem together.

    3x output tokens/sec, 2x faster TTFT on Llama 3.1 70B with KServe + llm-d + vLLM. Fixes pushed upstream to KServe along the way.

    This is what open source looks like. 🤝 🚀

    llm-d.ai/blog/production-grade

  4. Red Hat and Tesla engineers tackled a real production problem together.

    3x output tokens/sec, 2x faster TTFT on Llama 3.1 70B with KServe + llm-d + vLLM. Fixes pushed upstream to KServe along the way.

    This is what open source looks like. 🤝 🚀

    llm-d.ai/blog/production-grade

    #RedHat #Tesla #RedHatAI #vLLM #Pytorch #Kubernetes #OpenShift #KServe #llmd #Llama #OpenSource

  5. Red Hat and Tesla engineers tackled a real production problem together.

    3x output tokens/sec, 2x faster TTFT on Llama 3.1 70B with KServe + llm-d + vLLM. Fixes pushed upstream to KServe along the way.

    This is what open source looks like. 🤝 🚀

    llm-d.ai/blog/production-grade

    #RedHat #Tesla #RedHatAI #vLLM #Pytorch #Kubernetes #OpenShift #KServe #llmd #Llama #OpenSource

  6. Red Hat and Tesla engineers tackled a real production problem together.

    3x output tokens/sec, 2x faster TTFT on Llama 3.1 70B with KServe + llm-d + vLLM. Fixes pushed upstream to KServe along the way.

    This is what open source looks like. 🤝 🚀

    llm-d.ai/blog/production-grade

    #RedHat #Tesla #RedHatAI #vLLM #Pytorch #Kubernetes #OpenShift #KServe #llmd #Llama #OpenSource

  7. Today we announce the General Availability of AI Quickstarts! Get started quickly with your usecase and solve real business problems using Red Hat AI rapidly!

    docs.redhat.com/en/learn/ai-qu

    #RedHat #AI #RedHatAI #OpenShift #OpenShiftAI #RHEL #RHELAI #OpenSource #OpenSourceAI

  8. Today we announce the General Availability of AI Quickstarts! Get started quickly with your usecase and solve real business problems using Red Hat AI rapidly!

    docs.redhat.com/en/learn/ai-qu

  9. Today we announce the General Availability of AI Quickstarts! Get started quickly with your usecase and solve real business problems using Red Hat AI rapidly!

    docs.redhat.com/en/learn/ai-qu

    #RedHat #AI #RedHatAI #OpenShift #OpenShiftAI #RHEL #RHELAI #OpenSource #OpenSourceAI

  10. Today we announce the General Availability of AI Quickstarts! Get started quickly with your usecase and solve real business problems using Red Hat AI rapidly!

    docs.redhat.com/en/learn/ai-qu

    #RedHat #AI #RedHatAI #OpenShift #OpenShiftAI #RHEL #RHELAI #OpenSource #OpenSourceAI

  11. Today we announce the General Availability of AI Quickstarts! Get started quickly with your usecase and solve real business problems using Red Hat AI rapidly!

    docs.redhat.com/en/learn/ai-qu

    #RedHat #AI #RedHatAI #OpenShift #OpenShiftAI #RHEL #RHELAI #OpenSource #OpenSourceAI