TENSORBAY RESOURCE CENTER

Make your next AI infrastructure decision with clarity.

Explore GPU systems, workload guides, and operational details from TensorBay, then talk with our team about the configuration that fits your work.

Browse the resources Talk to an expert

Rows of GPU server cabinets in an operating data center, photographed from the service aisle. — TENSORBAY AIFACTORY · GPU INFRASTRUCTURE

START WITH THE WORKLOAD

A clearer path from model to production.

Start with the work your team needs to do, then explore the systems and infrastructure around it.

GPU server racks arranged along a real data center aisle.

GPU SYSTEMS

Compare dedicated NVIDIA GPUs.

Review node and rack-scale systems, memory, interconnects, and published reservation rates.

Explore GPU systems

Server cabinets and overhead infrastructure in a TensorBay data center.

MODEL TRAINING

Plan for longer training runs.

Explore the compute, network, data path, and acceptance checks that support a training cluster.

Explore model training

A technician working beside server cabinets in a real data center.

CLUSTER READINESS

Know what happens before handover.

See how load, memory, network, and temperature checks inform the cluster acceptance process.

Review cluster operations

BROWSE TENSORBAY RESOURCES

Find the detail your next decision needs.

Filter by workload or infrastructure layer. Each guide connects to current TensorBay systems, rates, and operating information.

Open GPU server rack with visible components and cabling in a data center.

GPU SYSTEMS

Compare NVIDIA GPU configurations.

Review dedicated 8-GPU nodes and rack-scale systems, with the newest generation first.

Compare GPU systems

GPU server aisle with overhead cable trays.

MODEL TRAINING

Plan a dedicated training cluster.

See how GPU count, high-speed networking, storage, and delivery checks fit together.

Explore training infrastructure

Real GPU server rack photographed inside a data center.

AI INFERENCE

Prepare an inference workload for production.

Plan memory capacity, data movement, and dedicated GPU systems for serving models.

Explore inference infrastructure

Server hardware and organized data cables inside a rack.

FINE-TUNING AND RESEARCH

Make room for model iteration.

Explore dedicated GPU nodes for adaptation, experiments, and repeatable research runs.

Explore fine-tuning systems

Network fabric and server cabinets in a data center aisle.

NETWORK AND STORAGE

Keep data close to compute.

Review InfiniBand, NVMe, shared storage, and data-transfer options for distributed workloads.

Plan the data path

Aerial view of a data center facility and its surrounding site.

AI DATA CENTERS

Understand the systems around the GPUs.

Explore data center capacity, power, cooling, locations, and cluster operations.

Explore AI infrastructure

Data center cabinets along a secured operating aisle.

SECURITY

Review infrastructure security controls.

See the published physical, identity, and data-handling controls for TensorBay infrastructure.

Review security information

PRICING AND RESERVATIONS

Compare published GPU rates.

Review hourly GPU pricing, reservation terms, and the details used to scope a cluster quote.

View pricing and reservations

A data center technician inspecting equipment in the server aisle. — DATA CENTER OPERATIONS · TENSORBAY

PLANNING WITH AN EXPERT

Bring your workload. We will help map the system around it.

Share the model, GPU capacity, data path, and delivery window you have in mind. TensorBay specialists can help you review the options and plan the next step.

Meet the expert support team

08Give your idea room to grow

Have a workload in mind? Let’s plan the infrastructure.

Tell us what you are building, the GPU capacity you need, and your timeline. Our team will help define the system and next steps.

A configuration built around your project
A proposal with a delivery timeline
Acceptance testing before you start

tensorbay@tensorbay.io