GPU vanity address grinder for Solana — suffix search, 44M keys/sec on RTX 3090 (CUDA)
-
Updated
Apr 29, 2026 - Cuda
#
rtx
Here are 3 public repositories matching this topic...
A self-contained CUDA inference engine for LiquidAI/LFM2.5-8B-A1B (hybrid conv + GQA-attention MoE, 8.5B params, 1B active) targeting a single RTX 3060 (12 GB). No Python, no frameworks at runtime: a single .cu engine + a header-only byte-level BPE tokenizer.
c open-source ai cpp gpu cuda inference nvidia moe token rtx inference-engine fast-inference 3060 large-language-models llm liquidai lfm25
-
Updated
Jun 7, 2026 - Cuda
Cycle-accurate UMA fault latency and bandwidth measurement for NVIDIA GPUs. C and PTX. No Python. Pascal (SM 6.0) through Blackwell GB10 (SM 12.1).
pascal cuda nvidia bandwidth aarch64 rtx uma ptx gpu-performance memory-profiling cuda-c unified-memory gb10 gpu-diagnostics dgx-spark rrace-blackwell gpu-proformance fault-latency
-
Updated
Apr 28, 2026 - Cuda
Improve this page
Add a description, image, and links to the rtx topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rtx topic, visit your repo's landing page and select "manage topics."