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Buyer's Guide to Self-Hosted Inference

What to ask any vendor of self-hosted open-weight inference: lifecycle, security evidence, support scope, metering and exit.

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Secure LLM inference for enterprises running open models on their GPUs. San Ramon, California.

NVIDIA Inception member. Red Hat Partner. AWS Partner. Microsoft Azure Partner.

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SGLang is an open-source project released under the Apache License 2.0 and hosted by LMSYS. Traction Layer AI is not affiliated with, sponsored by or endorsed by the SGLang project. vLLM is an open-source project of the PyTorch Foundation, part of the Linux Foundation; Traction Layer AI is not affiliated with, sponsored by or endorsed by the vLLM project. Traction Runtime for SGLang is an independent downstream distribution. NVIDIA, CUDA, Dynamo, Red Hat, OpenShift, AWS, Microsoft Azure, Kubernetes, Sigstore and other marks are the property of their respective owners.