High-Performance GPU Cloud

Dedicated GPU capacity with predictable performance, flexible deployment, and production-grade support.

Scalable GPU Cloud Capacity

Start with the GPU capacity your workload needs, then expand from single workloads to dedicated GPU nodes or multi-node clusters as demand grows.

Bare-Metal-Level GPU Performance

Access dedicated GPU environments designed to deliver stable throughput, high utilization, and predictable performance for demanding compute workloads.

Specialized GPU Operations Team

Our team supports GPU infrastructure across deployment, monitoring, maintenance, troubleshooting, and lifecycle management, helping customers operate high-performance compute environments with confidence.

GPU Compute Portfolio

Built on NVIDIA’s industry-leading accelerated computing platform, Phyper delivers access to premium GPU capacity engineered for exceptional performance, scalability, and reliability.

NVIDIA HGX B300

NVIDIA HGX B300 is a premium Blackwell Ultra GPU platform designed for the next generation of AI compute. It is built for large-model inference, reasoning workloads, multimodal AI, advanced training pipelines, and high-density accelerated computing environments where performance and scalability are critical.

NVIDIA HGX H200

NVIDIA HGX H200 is a proven Hopper-generation GPU platform built for production AI workloads. It is well suited for high-throughput inference, model fine-tuning, memory-intensive applications, computer vision, and enterprise AI deployment where reliability, strong performance, and ecosystem maturity matter.

NVIDIA RTX PRO 6000

NVIDIA RTX PRO 6000 is a flexible Blackwell GPU platform for AI inference, professional visualization, rendering, simulation, and physical AI workloads. It offers a strong balance of accelerated compute, graphics performance, and deployment flexibility for teams that need powerful GPU capacity beyond traditional AI training.

Managed Kubernetes for Production Workloads

Phyper provides a managed Kubernetes layer for dedicated cloud environments, enabling customers to deploy, scale, and operate containerized workloads without managing the orchestration infrastructure themselves.

With support for networking, storage integration, access control, resource configuration, and deployment pipelines, Phyper helps teams operate production workloads with greater flexibility and control.

Managed Kubernetes for Production Workloads

Getting Started

Launch your first GPU instance in the Nebius console, or reach out to our team to discuss capacity, reserved pricing, or your specific workload requirements.