Search Results for "cpu memory usage"

MSA, or Memory Sparse Attention, is a research framework for scaling language-model memory to extremely long contexts. It replaces full attention over all tokens with sparse selection of compressed latent memory states. Document-wise rotary position encoding and top-k routing keep training and inference close to linear complexity. A tiered KV-cache design stores routing keys on GPU while larger content states can remain on CPU.

bitnet.cpp is the official open-source inference framework and ecosystem designed to enable ultra-efficient execution of 1-bit large language models (LLMs), which quantize most model parameters to ternary values (-1, 0, +1) while maintaining competitive performance with full-precision counterparts. At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous...

...Remote command and script execution (batch, powershell and python scripts). Event log viewer. Services management. Windows patch management. Automated checks with email/SMS alerting (cpu, disk, memory, services, scripts, event logs). Automated task runner (run scripts on a schedule). Remote software installation via chocolatey. Software and hardware inventory.