SafeTrust Compute Gateway

Product preview

Access and orchestrate trusted GPU capacity for training, fine-tuning, and inference.

Illustrative interface preview with sample data — not a live session or real customer data.

Overview

GPU compute access & orchestration platform (software layer)

SafeTrust Compute Gateway helps startups and enterprises access and orchestrate trusted GPU capacity for training, fine-tuning, and inference. The platform provides workload routing, deployment templates, usage metering, cost visibility, and billing workflows so AI teams can scale workloads without managing complex infrastructure operations.

Value proposition

GPU capacity is scarce, fragmented, and operationally heavy to run well. SafeTrust Compute Gateway is a productized software layer over trusted GPU infrastructure — so AI teams can provision capacity, route training and inference workloads, deploy containerized applications, and see exactly what they are spending, without building an infrastructure team first.

Who it’s for

AI startups and enterprise AI teams running training, fine-tuning, and inference workloads.

Key features

• GPU workload orchestration
• Training, fine-tuning, and inference routing
• Containerized AI deployment templates
• Usage monitoring and metering
• Cost visibility and customer billing workflows
• Support for NVIDIA GPU-based infrastructure

Architecture

How a request moves through SafeTrust Compute Gateway, end to end:

Technology stack

Safe Trust Lab AI uses or evaluates Google Cloud services such as Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Storage, BigQuery, Vertex AI, and Gemini APIs. For GPU workloads, the company is evaluating NVIDIA GPUs, CUDA, TensorRT, Triton Inference Server, NVIDIA NIM, NVIDIA AI Enterprise, DGX Cloud, and NGC containers. The application layer uses or evaluates Kubernetes, Docker, PyTorch, Hugging Face, FastAPI, PostgreSQL, Redis, and usage-based billing systems.

Deployment profile

This product is designed for cloud-native AI deployment and NVIDIA GPU workloads. The stack uses or evaluates Google Cloud services, the NVIDIA GPU software stack, and open-source AI infrastructure components. Safe Trust Lab AI is a member of NVIDIA Inception.

Early access

SafeTrust Compute Gateway is available for selected technical evaluations with AI teams planning GPU-based training, fine-tuning, and inference workloads.