AI tool comparison
SST vs vLLM
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Infrastructure
SST
Build modern full-stack apps on AWS
100%
Panel ship
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Community
Free
Entry
SST (Serverless Stack) provides the best developer experience for building full-stack apps on AWS. Live Lambda development, Ion v3 with Pulumi, and multi-cloud support.
Infrastructure
vLLM
High-throughput LLM serving engine
100%
Panel ship
—
Community
Free
Entry
vLLM is a high-throughput, memory-efficient LLM inference engine with PagedAttention. The standard for self-hosted LLM serving with continuous batching and speculative decoding.
Reviewer scorecard
“The best way to use AWS. Live Lambda debugging, simple configuration, and the migration to Ion (Pulumi-based) is smart.”
“PagedAttention is a breakthrough for inference efficiency. The standard for production self-hosted LLM serving.”
“Makes AWS approachable for full-stack developers. The DX gap between SST and raw CDK is enormous.”
“If you're self-hosting LLMs, vLLM is the obvious choice. Battle-tested and actively maintained.”
“SST proves AWS can have great DX. Ion's Pulumi-based multi-cloud approach positions it for the future.”
“Self-hosted inference will remain important for latency, cost, and privacy. vLLM is the infrastructure layer.”
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