Confidential AI vs. vLLM Comparison


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About Confidential AI provides private AI inference, agent environments, and confidential computing infrastructure for AI labs, inference providers, routers, and organizations handling sensitive workloads. Its hosted inference service runs open-weight models in hardware-backed trusted execution environments (TEEs), including Intel TDX and AMD SEV-SNP confidential VMs with NVIDIA GPUs in confidential computing mode. Prompts, responses, and workload data are protected from infrastructure operators, and clients can verify attestation before sending sensitive input. Customers can use an OpenAI-compatible API to deploy inference endpoints and agent workloads, or license the confidential-computing stack for on-premises infrastructure, bare metal, and major clouds. Use cases include serving models while limiting operator access to prompts and model assets, and running sensitive AI workloads on dedicated confidential compute.	About vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI labs, inference providers, routers and regulated companies.	Audience AI infrastructure engineers looking for a solution to optimize the deployment and serving of large-scale language models in production environments
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos No images available	Screenshots and Videos View more images or videos
Pricing $0.20/1M input tokens Cloud inference is metered per 1M tokens: DeepSeek V4 Flash costs $0.20 per 1M input tokens ($0.018 cached input) and $0.40 per 1M output tokens, invoiced monthly in arrears. GPU VMs are billed per GPU-hour; listed rates start at $1.90 per GPU-hour, depending on the GPU. Licensed software starts at $2,789 per GPU per year, invoiced monthly in arrears. Dedicated GPU VM orders have a $500 minimum and a three-month minimum term. Free Version Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Confidential AI Founded: 2025 United States confidential.ai	Company Information vLLM United States vllm.ai
Alternatives NVIDIA Confidential Computing NVIDIA	Alternatives DeepInfer DeepSeek
Google Cloud Confidential VMs Google	LocalAI
Phala	Ollama
Tinfoil	Wafer
Targon Manifold Labs View All	NVIDIA TensorRT NVIDIA View All
Categories AI Inference Supported Cloud GPU Supported Confidential AI Supported Virtual Machine Supported	Categories AI Inference Supported

Integrations OpenAI Supported Database Mart Not Supported Docker Not Supported DocsGPT Not Supported Hugging Face Not Supported KServe Not Supported Kubernetes Not Supported Muse Spark Open Not Supported NGINX Not Supported NVIDIA DRIVE Not Supported Nemotron 3.5 Bolt Not Supported Nemotron 3.5 Super VL Not Supported PyTorch Not Supported Recursive Flint Not Supported Thunder Compute Not Supported omp Not Supported Show More Integrations View All 1 Integration	Integrations OpenAI Supported Database Mart Supported Docker Supported DocsGPT Supported Hugging Face Supported KServe Supported Kubernetes Supported Muse Spark Open Supported NGINX Supported NVIDIA DRIVE Supported Nemotron 3.5 Bolt Supported Nemotron 3.5 Super VL Supported PyTorch Supported Recursive Flint Supported Thunder Compute Supported omp Supported Show More Integrations View All 16 Integrations
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