Dedicated GPU Compute. No Sharing. No Guesswork.

LucenHub Compute provides exclusive access to high-performance GPUs and AI servers — designed for training, inference, and production workloads that require predictable performance.

THE PROBLEM

Shared GPUs Break Serious AI Workloads

Most “GPU cloud” platforms oversubscribe hardware. Performance fluctuates, environments change, and workloads suffer from noisy neighbors and hidden throttling.

If your work depends on stability, shared GPUs are a liability.

  • Unpredictable performance
  • Oversubscribed hardware
  • No control over environment
  • Inconsistent results

WHAT WE OFFER

Dedicated GPU Servers

One physical GPU. One customer. Full control.
RTX 5090 with PCIe passthrough and root access for predictable performance.

Use cases: fine-tuning, inference, video generation, research

AI Cluster / Multi-GPU Training Nodes

Entire servers reserved for you.
Multi-GPU configurations designed for distributed training and large-scale workloads.

Use cases: model training, pipelines, enterprise workloads

AI Servers — Build & Deploy

Own your AI infrastructure. We assemble, test, and deploy production-ready GPU servers. We also configure completely to your needs.

Use cases: model training, pipelines, enterprise workloads

WHY LUCENHUB COMPUTE

Built by Operators, Not Resellers

No GPU slicing

No oversubscription

Transparent hardware specs

EU and US-based infrastructure

Human support from engineers

TECHNICAL OVERVIEW

Production-Grade Infrastructure

LucenHub Compute is built on modern, enterprise-grade hardware engineered for sustained AI workloads, not burst demos. Every node is designed for long-running training, high-throughput inference, and video pipelines where performance stability matters more than peak benchmarks. We prioritize predictable throughput and reliable networking so workloads behave the same today, tomorrow, and at scale.

  • RTX 5090 GPUs (32 GB VRAM)
  • High-core-count CPUs
  • ECC memory and NVMe storage
  • VM-based isolation and Secure networking

ENGAGEMENT MODEL

Flexible Engagement Models

Whether you need a single GPU or a full training cluster, LucenHub adapts to your workflow and operational model. Start with a dedicated GPU for experimentation or inference, scale to multi-GPU nodes for training, or deploy fully owned hardware with optional management. We support short-term needs and long-term commitments without forcing rigid contracts or oversold capacity.

  • Monthly GPU rental
  • Dedicated cluster contracts
  • Hardware purchase + optional management
  • Custom deployments

Main Highlights

🧠 Dedicated GPU Compute

Exclusive access to physical GPUs with no sharing, no slicing, and no noisy neighbors

⚙️ Multi-GPU Training Nodes

Entire servers reserved for large-scale training, distributed workloads, and production pipelines.

🖥️ AI Server Sales & Deployment

Purchase production-ready AI servers assembled, tested, and optimized for real workloads.

🔒 Predictable Performance

Stable throughput, consistent memory bandwidth, and reliable I/O under sustained load.

🌍 EU-Based Infrastructure

European data centers with transparent specs, compliance-friendly location, and low latency.

🤝 Operator-Level Support

Human engineers who operate the same infrastructure they provide — no reseller layers.

FAQ & Answers

A: No. All GPU resources are dedicated to a single customer. There is no slicing or oversubscription.

A: LucenHub Compute focuses on high-performance NVIDIA GPUs, including RTX 5090 configurations.

A: Yes. Dedicated GPU servers include full root access and environment control.

A: Yes. The infrastructure is designed for sustained workloads running for hours or days without throttling.

A: A dedicated GPU server provides one physical GPU. A training node reserves the entire server with multiple GPUs.

A: Yes. Customers can begin with a single GPU and scale to multi-GPU nodes as workloads grow.

A: Both options are available. Customers can self-manage or request optional management and support.

A: Yes. LucenHub offers AI server sales with optional assembly, testing, and deployment services.

A: LucenHub Compute operates EU and US-based infrastructure in professional data centers.

A: Yes. The platform supports training, inference, video generation, and private AI services.

A: Pricing is based on monthly GPU rental, cluster contracts, or hardware purchase, depending on the engagement model.

A: LucenHub Compute is designed for startups, studios, research teams, and enterprises requiring predictable AI infrastructure.

PRICING PHILOSOPHY

Flexible Engagement Models

LucenHub Compute pricing is built around predictable performance and exclusive resource access. Customers pay for dedicated infrastructure — not shared capacity, oversold GPUs, or abstract compute units.

Compute services are offered through monthly GPU rentals, multi-GPU cluster reservations, or full server purchases, depending on workload requirements. Pricing reflects real hardware allocation, power usage, and operational support, ensuring consistent performance under sustained load.

There are no artificial limits, performance degradation, or surprise reallocations. Customers always know exactly what hardware they are using and how it is allocated.

  • Transparent infrastructure-based pricing
  • Monthly GPU rental or cluster contracts
  • Hardware purchase options
  • Optional management & support
  • Dedicated resources only (no slicing)
  • No hidden throttling or oversubscription

CONTACT US

Send Us Your Questions

OR Book a Consultation

LucenHub Compute is part of LucenHub’s infrastructure division, supporting both internal platforms and external customers with the same production-grade hardware.