Skip to main content

Distributed hardware optimization agent — JEPA-driven job routing, GPU/CPU/FPGA probing, and performance tuning across heterogeneous compute clusters.

Project description

Mesh Optimizer

Distributed hardware optimization agent by Slento Systems.

JEPA-driven job routing, GPU/CPU/FPGA probing, and performance tuning across heterogeneous compute clusters.

Quick Start

pip install slento-mesh-optimizer
mesh-optimizer start

One-Line Install (Linux)

curl -fsSL https://mesh.slentosystems.com/install.sh | bash

Features

  • Hardware Discovery — Auto-detects GPUs (AMD, NVIDIA), CPUs, FPGAs, memory subsystems
  • Performance Probing — Runs targeted benchmarks to map hardware capabilities
  • JEPA Optimization — Joint Embedding Predictive Architecture learns your hardware's performance characteristics
  • Job Routing — Automatically routes compute jobs to the best-suited hardware
  • NAT/WAN Support — Works behind firewalls with outbound-only connections
  • Multi-Platform — Linux, macOS, Windows

Supported Hardware

  • AMD Radeon RX 7000 (RDNA3), Instinct MI200/MI300 (CDNA)
  • NVIDIA GeForce RTX 30/40/50, Quadro, Tesla, A100
  • Intel/AMD CPUs (10th gen+, Ryzen/EPYC)
  • Apple M1/M2/M3/M4
  • Xilinx Alveo/UltraScale+ FPGAs

Documentation

Full docs at docs.slentosystems.com

License

Proprietary. Free community tier available at portal.slentosystems.com.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

slento_mesh_optimizer-0.1.14.tar.gz (132.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

slento_mesh_optimizer-0.1.14-py3-none-any.whl (158.2 kB view details)

Uploaded Python 3

File details

Details for the file slento_mesh_optimizer-0.1.14.tar.gz.

File metadata

  • Download URL: slento_mesh_optimizer-0.1.14.tar.gz
  • Upload date:
  • Size: 132.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for slento_mesh_optimizer-0.1.14.tar.gz
Algorithm Hash digest
SHA256 c23704ace60ff4a7e6b93a5a75f4143c1caea8039e44ed37e3cbba6c81237909
MD5 5d50cf7d9b3eabb24b3a08b2cbd429fa
BLAKE2b-256 3a4dc8509204b24a7bc505ef5d82ccf0b26caf6f3f52e5752f7eb166c743d354

See more details on using hashes here.

File details

Details for the file slento_mesh_optimizer-0.1.14-py3-none-any.whl.

File metadata

File hashes

Hashes for slento_mesh_optimizer-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 fbe8ac57a5a3f2e108916e14183d6af258c12737a82555ee6c6a6bf473ba0fbb
MD5 16e941e2c85c686342bbab16de388597
BLAKE2b-256 1a4036edb0b1b7a4e3ed1bae90e80e837962f334c7ec7a81763a56bc5ac1c4af

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page