100+ vLLM Online Courses for 2026 | Explore Free Courses & Certifications

Anyscale

Fast LLM Serving with vLLM and PagedAttention

Kubesimplify

vLLM on Kubernetes in Production - Deployment and Cost-Saving Strategies

Databricks

Accelerating LLM Inference with vLLM

Donato Capitella

Low-Latency Strix Halo Cluster with RDMA - RoCE/Intel E810 and vLLM, Framework Desktop Boards

Neural Magic

Deploy LLMs More Efficiently with vLLM and Neural Magic

Anyscale

Databricks' vLLM Optimization for Cost-Effective LLM Inference - Ray Summit 2024

Anyscale

Optimizing vLLM for Intel CPUs and XPUs - Ray Summit 2024

Anyscale

Roblox's Journey to Supporting Multimodality on vLLM - Ray Summit 2024

Anyscale

Achieving vLLM Platform Portability with Triton Autotuning - Ray Summit 2024

Anyscale

The State of vLLM - Advancements in LLM Inference and Serving

Anyscale

Handshake's Approach to Content Tagging with vLLM and Anyscale

Anyscale

Optimizing vLLM Performance Through Quantization - Model Compression Techniques

Anyscale

The Evolution of Multi-GPU Inference in vLLM

Generative AI on AWS

AI Agent Inference Performance Optimizations - vLLM vs SGLang vs TensorRT

Fast Inference, Furious Scaling - Leveraging VLLM With KServe

vLLM Courses and Certifications

Fast LLM Serving with vLLM and PagedAttention

vLLM on Kubernetes in Production - Deployment and Cost-Saving Strategies

Accelerating LLM Inference with vLLM

Low-Latency Strix Halo Cluster with RDMA - RoCE/Intel E810 and vLLM, Framework Desktop Boards

Deploy LLMs More Efficiently with vLLM and Neural Magic

Databricks' vLLM Optimization for Cost-Effective LLM Inference - Ray Summit 2024

Optimizing vLLM for Intel CPUs and XPUs - Ray Summit 2024

Roblox's Journey to Supporting Multimodality on vLLM - Ray Summit 2024

Achieving vLLM Platform Portability with Triton Autotuning - Ray Summit 2024

The State of vLLM - Advancements in LLM Inference and Serving

Handshake's Approach to Content Tagging with vLLM and Anyscale

Optimizing vLLM Performance Through Quantization - Model Compression Techniques

The Evolution of Multi-GPU Inference in vLLM

AI Agent Inference Performance Optimizations - vLLM vs SGLang vs TensorRT

Fast Inference, Furious Scaling - Leveraging VLLM With KServe