SIE Serverless
managed inference powered by self-hostable stack
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Today we are launching SIE Serverless - a managed inference product focused on small models. It’s useful for spiky workloads on 20+ task specific workloads across Search, OCR and Agentic execution.Sign up for a $500 credits launch grant after making an account :-)It’s powered by our open source inference engine that has received thousands of github stars in the last few months, battle-tested across finance, legal & tech. We believe that self-hosting is going to be critical given all the trust & security issues in AI, but practically there are always workloads where you’d like somebody else to deal with the GPU quota like synthetic data generation, evals, public research and beyond.The team at Superlinked has been burning the midnight oil for months and I’m so proud of every single one of you - what a privilege to call you my team mates y’all!
HN · launched Nov 3, 2026 · 9 upvotes (top 44%) · 0 views
Niche: ai hosting and infrastructure platforms · 74 launches, 5 in the last 7 days ▼ -38% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Commercial product
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More like this: all 74 launches in ai hosting and infrastructure platforms →
Could you build this?
No Managed serverless GPU inference requires autoscaling, cold-start optimization, multi-tenant isolation, and high-availability infrastructure. That is massive infrastructure work beyond vibe coding.
What it would actually take: A real version needs a GPU scheduling layer (likely Kubernetes or a custom orchestrator), model-loading optimizations to cut cold starts, request batching, tenant isolation, billing metering, and observability. It takes infrastructure and ML systems engineers and sustained GPU capacity.
Discussion
1 comment analyzed.
Competitors
Other products that read as similar to this one : 329 launches clear the similarity bar, closest 8 shown.
Attention rank: #155 of 330 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 364 days after the earliest competitor.
- Serve 100 Large AI models on a single GPU with low impact to TTFT · hn · 2025-11-08 · 7 upvotes · similarity 0.60
- Cygnus · hn · 2026-07-25 · 8 upvotes · similarity 0.46
- ZSE · hn · 2026-02-26 · 58 upvotes · similarity 0.44
- Orchestra: Self-optimizing inference cloud to cut your AI costs by 100x · yc · 2026-09-07 · 5 upvotes · similarity 0.44
- Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac · hn · 2026-07-29 · 919 upvotes · similarity 0.43
- Tokenomos · github · 2026-10-31 · 26 upvotes · similarity 0.43
- ZeroGPU · ph · 2026-06-09 · 308 upvotes · similarity 0.43
- Throughputs · ph · 2026-10-13 · 1 upvotes · similarity 0.43
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