NVIDIA HGX H100

The NVIDIA HGX H100 is designed for large-scale HPC and AI workloads

7x better efficiency in high-performance computing (HPC) applications, up to 9x faster AI training on the largest models and up to 30x faster AI inference than the NVIDIA HGX A100. Yep, you read that right.

Fast, flexible infrastructure for optimal performance

Fast, flexible infrastructure for optimal performance

StratusTech.AI is a unique, Kubernetes-native cloud, which means you get the benefits of bare metal without the infrastructure overhead. We do all of the heavy Kubernetes lifting, including dependency and driver management and control plane scaling so your workloads just...work.

Superior networking architecture, with NVIDIA InfiniBand

Superior networking architecture, with NVIDIA InfiniBand

Our HGX H100 distributed training clusters are built with a rail-optimized design using NVIDIA Quantum-2 InfiniBand networking supporting in-network collections with NVIDIA SHARP, providing 3.2Tbps of GPUDirect bandwidth per node.

Easily migrate your existing workloads

Easily migrate your existing workloads

Our infrastructure is designed to make it easy to migrate your existing workloads. We support all major frameworks and tools, and our team is here to help you every step of the way.

Powerful Use Cases

Standards-based inference platform with industry-leading scalability

KUBERNETES FOR INFERENCE

Standards-based inference platform with industry-leading scalability

Deploy inference with a single YAML. We support all popular ML Frameworks: TensorFlow, PyTorch, SKLearn, TensorRt, ONNX as well as custom serving implementations. Optimized for NLP with streaming responses and context aware load-balancing.

Industry standard architecture, designed to deliver the best possible performance

KUBERNETES FOR DISTRIBUTED TRAINING

Industry standard architecture, designed to deliver the best possible performance

We build our distributed training clusters with a rail-optimized design using NVIDIA Quantum InfiniBand networking and in-network collections using NVIDIA SHARP to deliver the highest distributed training performance possible.

Accelerate artist workflows by eliminating the render queue

KUBERNETES FOR RENDERING

Accelerate artist workflows by eliminating the render queue

Leverage container auto-scaling in render managers - like Deadline - to go from a stand-still to rendering a full VFX pipeline in seconds.

Run thousands of GPUs for parallel computation

KUBERNETES FOR WORKFLOWS

Run thousands of GPUs for parallel computation

Leverage powerful Kubernetes native workflow orchestration tools like Argo Workflows to run and manage the lifecycle of parallel processing pipelines for VFX rendering, health sciences simulations, financial analytics and more.

StratusTech.AI is a specialized cloud provider

Delivering a massive scale of GPUs on top of the industry's fastest and most flexible infrastructure.