GPU Compute for AI That Ships
ML infrastructure, model training, inference hosting, and LLM deployment. Managed by engineers who understand AI workloads—not just servers.
Build → Train → Deploy → Run
From infrastructure setup to production deployment, we handle the compute layer.
ML Infrastructure
Production-ready GPU clusters for machine learning. Multi-GPU configurations, storage, networking, and frameworks—all managed.
AI Model Training
High-performance GPU infrastructure for training AI models. From fine-tuning to training from scratch, reliably.
AI Inference Hosting
Low-latency, high-throughput model inference. Deploy trained models with the performance your users expect.
LLM Hosting
Run your own LLMs—open-source or custom—on dedicated GPUs. Full control, no per-token pricing, complete privacy.
AI Infrastructure, Not Just Servers
Cloud GPU providers give you hardware. We give you a managed AI platform.
Latest NVIDIA GPUs
H200, H100, A100, L40S available with competitive pricing through our infrastructure partnerships.
Pre-Configured Environments
PyTorch, TensorFlow, CUDA, and popular serving frameworks ready to go. No days spent on setup.
ML-Native Support
Engineers who understand training runs, inference latency, and GPU utilization—not just generic server support.
Predictable Pricing
Monthly GPU costs you can budget for. No surprise per-token charges or variable cloud bills.
Latest NVIDIA GPUs Available
Match your workload to the right GPU. We help you pick.
Who We Work With
ML Teams Scaling Up
Outgrowing single-GPU experiments? We build multi-GPU clusters that let your team train larger models without managing infrastructure.
CTOs Evaluating Options
Build vs. rent? Cloud vs. dedicated? We help you understand the tradeoffs and build infrastructure that makes sense for your scale.
Production AI Teams
Running inference for real users? We optimize for latency, throughput, and cost—the metrics that matter in production.
Self-Hosted LLM Users
Done paying per token? We deploy your models on dedicated GPUs with predictable monthly costs and complete data privacy.
ZenoCloud vs. Cloud GPU Providers
| Cloud GPU (Lambda, CoreWeave) | ZenoCloud Managed | |
|---|---|---|
| Setup | Self-service, you configure everything | We build and configure for you |
| Environment | Base OS, install your own stack | Pre-configured ML environments |
| Support | Generic infrastructure support | ML-native engineers |
| Optimization | DIY performance tuning | We optimize for your workload |
| Monitoring | Basic metrics | GPU utilization, training metrics, alerts |
| On-Call | Your problem | 24/7 infrastructure monitoring |
Tell Us About Your Workload
Training models? Running inference? Hosting LLMs? We'll help you figure out the right infrastructure—and then actually build it.