mishraprafful

mishraprafful/multihull

Deploy always-warm GPU inference containers to many providers from one spec. One URL, automatic per-request failover. Built for reliability over cost.

4 good first / help-wanted issues · Python · last activity Oct 9, 2026

0 stars 0 forks 0 watchers Python Apache License 2.0
failover gpu high-availability inference kubernetes llm-serving load-balancer mlops modal model-serving python rust
4 Open Issues Need Help Last updated: Oct 9, 2026

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help wanted good first issue testing roadmap
mishraprafful/multihull
0

Deploy always-warm GPU inference containers to many providers from one spec. One URL, automatic per-request failover. Built for reliability over cost.

Python
#failover#gpu#high-availability#inference#kubernetes#llm-serving#load-balancer#mlops#modal#model-serving#python#rust
help wanted good first issue testing roadmap
mishraprafful/multihull
0

Deploy always-warm GPU inference containers to many providers from one spec. One URL, automatic per-request failover. Built for reliability over cost.

Python
#failover#gpu#high-availability#inference#kubernetes#llm-serving#load-balancer#mlops#modal#model-serving#python#rust
help wanted good first issue router roadmap
mishraprafful/multihull
0

Deploy always-warm GPU inference containers to many providers from one spec. One URL, automatic per-request failover. Built for reliability over cost.

Python
#failover#gpu#high-availability#inference#kubernetes#llm-serving#load-balancer#mlops#modal#model-serving#python#rust
help wanted good first issue provider testing
mishraprafful/multihull
0

Deploy always-warm GPU inference containers to many providers from one spec. One URL, automatic per-request failover. Built for reliability over cost.

Python
#failover#gpu#high-availability#inference#kubernetes#llm-serving#load-balancer#mlops#modal#model-serving#python#rust