AI Inferencing Takes Center Stage at Red Hat Summit 2025
Red Hat Summit 2025 marked the company’s entry into AI inferencing with the productization of vLLM, the open-source project that has been shaping AI model execution over the past two years.
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Red Hat Summit 2025 marked the company’s entry into AI inferencing with the productization of vLLM, the open-source project that has been shaping AI model execution over the past two years.
Learn where the telecom industry currently stand in terms of generative AI (GenAI) adoption and who stands to benefit if telcos don’t change
Sapphire 2025 marked a turning point, not because SAP introduced a radically new vision but because the company finally appears ready to execute on the one it has been quietly building for years. The narrative has matured, the tools are in place, and the platform is coherent. And the partners, customers and product ecosystem are starting to move together. Some heavy lifting remains, such as around migrations, data harmonization and partner fluency, but if SAP can stay focused on delivering scalable value through agentic AI, integrated data platforms and partner-enabled execution, the next chapter of the company’s growth story will look a lot less like catching up to the cloud and a lot more like leading in it.
After years of instability and declining performance, Atos enters 2025 with new leadership, improved liquidity and early signs of commercial momentum, positioning the company for gradual recovery and long-term stabilization.
Learn the impact of Trump’s second term and DOGE initiatives on federal IT contractors so far and how federal IT vendors are pivoting to support the Trump administration’s emerging priorities in AI, cloud, data science, defense technologies, quantum computing and security
Learn TBR’s forecast for the AI PC and AI PC SoC markets, our performance outlook for the AI server and AI server GPGPU markets, the latest industry trends and ecosystem partnerships, and key market dynamics contributing to and inhibiting growth
Principal Analyst Bozhidar Hristov, Senior Analyst Catie Merrill and Analyst Alex Demeule discuss strategies of KPMG as well as multipartner ecosystem management and co-investment across declared and committed partners, generative AI and data government as a key differentiator
When discussing Google Cloud’s three key attributes, Kurian first highlighted how Google Cloud Platform (GCP) is optimized for AI. Based on our own conversations with IT decision makers, this claim is valid: many customers enlist GCP services purely for functional purposes, as they believe they cannot obtain the same performance with another vendor. This is particularly true of BigQuery, for large-scale data processing and analytics, and increasingly Vertex AI, which now supports over 200 curated foundation models for developers.
Research Analyst Alek Maxfield and Senior Analyst Ben Carbonneau share insights into the performance forecasts and emerging solutions of leading semiconductor providers and OEMs.
One could argue that many of KPMG’s steps, including launching partner-enabled industry IP, reinforcing trust, developing regionally organized operations, outlining a select few strategic partners, and investing in platform-enabled service delivery capabilities, resonate with the moves taken by many of its Big Four and large IT services peers. We see two differences: KPMG is laser-focused on exactly which of the strategies above to amplify, rather than taking a trial-and-error approach, and KPMG has an opportunity to ride the wave of a once-in-a-century professional services market transformation.