memra
From the repo · “Rust + CUDA inference engine for NVIDIA RTX PRO 6000 Blackwell and RTX 5090. Serves safetensors and GGUF over an OpenAI-compatible API, with per-device tuned defaults and speculative decode gated byte-identical to plain decode. Hosted instance: inference.tiyuvta.ai”
Memra is a Rust + CUDA inference engine that serves GGUF models on NVIDIA GPUs, optimized for Blackwell and Hopper/H100 architectures.
- •You need to deploy GGUF models on NVIDIA GPUs for high-performance inference.
- •Your startup requires a customized inference engine for specific GPU architectures.
- •You want to leverage Rust and CUDA for building a high-speed AI application.
cargo run --release -- -m path/to/model.gguf -i path/to/input.data
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/memra && curl -fsSL https://workflowstacks.com/api/skills/memra/claude-skill -o ~/.claude/skills/memra/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/memra && curl -fsSL https://workflowstacks.com/api/skills/memra/claude-skill -o ~/.claude/skills/memra/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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