MachGen Tuned
Our engineers tune a serving recipe around your model and traffic pattern, with custom attention, cache calibration, and kernel fusion where more performance is available.
6xtypical speedup for non-distilled models
MachGen Cloud
Get the performance of a purpose-built inference platform without running any infrastructure yourself. MachGen deploys and manages the optimized stack on our cloud, dedicated to your models and your workloads.
What it is
MachGen Cloud is the managed version of our inference platform. We deploy the same optimization stack and fine-tuning capabilities on MachGen's infrastructure, dedicated to you. You get the performance gains without the overhead of running and maintaining GPU infrastructure yourself.
The same kernel fusions, FP8 attention, dynamic caching and other optimizations as our self-hosted product, running on MachGen's infrastructure on your behalf.
Your workloads run on infrastructure reserved for you. No noisy neighbors, no shared resource contention, no surprises at peak load.
We tune the serving stack specifically for your models and traffic patterns. LoRA training and fine-tuning available when quality adaptation is needed.
Uptime SLA, support included, and your data never used for model training. Built for production workloads where reliability isn't optional.
Optimization paths
Every model runs through the same accelerator stack. Work directly with MachGen engineers on a recipe for your model and traffic.
Our engineers tune a serving recipe around your model and traffic pattern, with custom attention, cache calibration, and kernel fusion where more performance is available.
6xtypical speedup for non-distilled models
Speedups are advisory and depend on model architecture and traffic. Distilled models typically see less uplift because aggressive step reduction leaves less room for cache-based optimization.
How it works
We optimize your model, validate against your quality bar, then deploy the production stack on MachGen's managed infrastructure.
You share your model, representative prompts, and quality bar. We align on latency, cost, and quality thresholds.
Output: an agreed-upon scorecard.
MachGen tunes the serving stack for your specific model. LoRA training and fine-tuning available when quality adaptation is needed.
You validate the optimized endpoint against the agreed metrics. MachGen deploys and manages the production stack on our infrastructure, dedicated to your workloads.
Share a model and an eval set. In six weeks or less, we'll return an optimized endpoint, a benchmark report, and a production deployment path inside your environment.
Run on MachGen Cloud under a committed GPU-hour contract, sized to your throughput needs.
| Billing | Rate |
|---|---|
| Per GPU, per hour | Contact sales |
MachGen Cloud pricing is quoted per GPU per hour based on fleet size, hardware mix, and support tier.