Your hardware is running at 30–50% of its potential. Mesh Optimizer probes your infrastructure, builds a behavior atlas, and trains a neural model to continuously optimize every workload.
Most compute infrastructure runs far below its theoretical peak. The gap between what your hardware can do and what it actually does is wasted money.
GPUs idle at 30–50% of peak throughput. Default configurations leave massive performance on the table across every workload.
Every hardware combination needs different settings. What works on NVIDIA breaks on AMD. New hardware means starting over.
Driver updates, firmware changes, new GPUs — your carefully tuned parameters go stale. You need optimization that adapts automatically.
Mesh Optimizer probes your hardware, maps its behavior, trains a neural model, and continuously optimizes. No manual tuning required.
29 kernel types test every subsystem
Behavior map with invariant detection
Neural model predicts optimal configs
Continuous tuning with feedback loop
Measured improvements from our behavior atlas across 83,000+ data points on production hardware. These aren't projections — they're actual before-and-after comparisons. See full methodology & hardware specs →
No complex setup. No cloud accounts. Install the agent, and Mesh Optimizer handles the rest.
One command deploys the Mesh agent on each node. Supports Linux, containers, and bare metal.
The agent detects all GPUs, CPUs, and accelerators. 29 probe kernels map every subsystem's behavior.
A 249K-parameter neural model trains on your hardware's behavior atlas and predicts optimal configurations.
The feedback loop refines parameters as workloads change. Sub-millisecond decisions, no manual intervention.
From single-GPU workstations to heterogeneous compute fleets.
Real-time fleet visibility. See every node, GPU utilization, and optimization status at a glance.
Automatically route workloads to the best-suited hardware based on workload classification.
One-time hardware profiling for AMD RDNA3 GPUs. Open-source optimization findings included.
Secure credential management for your nodes. Encrypted at rest, never transmitted externally.
Real-time parameter tuning with feedback loops. Adapts as workloads and hardware change.
Train a dedicated neural model on your fleet's behavior. Predicts optimal configs in under 1ms.
All hardware types: NVIDIA GPUs, Intel/AMD CPUs, Xilinx FPGAs, and memory subsystems.
Deep performance analysis with actionable recommendations. Understand why, not just what.
Our AMD GPU optimization findings are open source. We believe hardware knowledge shouldn't be locked behind paywalls. The free tier gives you real, production-grade value — not a crippled demo. We make our money on continuous optimization and enterprise features, not on gatekeeping the fundamentals.
No credit card required. The free tier is permanent and genuinely useful.
Full-featured foundation for any fleet size. Not a trial, not a demo.
Full optimization across all hardware. JEPA neural model trains on your fleet.
For large-scale deployments with custom requirements and dedicated support.
One command. No cloud accounts. No credit card.
pip install mesh-optimizer && mesh-controller --config mesh_config.yaml