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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Explore the future of asynchronous communication training for distributed teams. Discover strategies, tools, and trends shaping effective collaboration across time zones by May 2026.
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The Training vLLM 2026 - Deploying Ultra-High-Performance LLMs training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training vLLM 2026 - Deploying Ultra-High-Performance LLMs training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training vLLM 2026 - Deploying Ultra-High-Performance LLMs training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Advanced installation of vLLM 2026 and configuration of an inference server on NVIDIA GPU, hands-on with PagedAttention to minimize KV-cache memory during massive batches, development of custom pipelines with OpenAI-compatible API, practical exercises on Llama 3 and Mistral models to simulate real enterprise loads, optimization of throughput via tensor parallelism and AWQ quantization, deployment of a scalable cluster with Docker and Kubernetes, realization of a complete deliverable: monitored vLLM server producing 10x more tokens/second, load tests and concrete optimization plan.
Target audience
ML Engineers, AI DevOps, data scientists seeking to upskill in LLM inference
Prerequisites
Mastery of Python, PyTorch/TensorFlow, and deploying ML models in production
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