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CuCLARK-l

Scientific models · by CuCLARK

Lightweight metagenomic classifier for CUDA-enabled GPUs, using a much smaller database, runnable on computers with 4 GB RAM and a CUDA-enabled GPU with at least 1 GB of memory.

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What it does

Lightweight metagenomic classifier for CUDA-enabled GPUs, using a much smaller database, runnable on computers with 4 GB RAM and a CUDA-enabled GPU with at least 1 GB of memory.

  • Metagenomic read classification on CUDA-enabled GPUs
  • Classification of metagenomic samples with large or small reference databases
Category
Scientific models
Users
Researchers and bioinformaticians with CUDA-enabled GPU workstations
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

  • Free plan$0

Prices as published by CuCLARK, checked Oct 2026.

Security and compliance

No security details published yet

CuCLARK hasn't published certifications or security practices for CuCLARK-l that we could find. Ask their team for audit reports.

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