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CuCLARK-l
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.
What is CuCLARK-l?
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.
Product typeScientific Models
PricingFree / Open Source (GPL-3.0) · Open Source
Deployment
APINot available
What teams use CuCLARK-l for
Metagenomic read classification on CUDA-enabled GPUs
Classification of metagenomic samples with large or small reference databases
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
