MODEL TRAINING
Train what comes next.
Dedicated GPU systems and high-speed networking give long training runs room to scale.
Explore AI model trainingABOUT TENSORBAY
Infrastructure for the next era of AI.
TensorBay brings dedicated NVIDIA GPUs, high-speed networking, storage, and data-center operations together, giving AI teams a clear path from their first run to production.
WHO WE ARE
We build the foundation behind ambitious AI.
Training, fine-tuning, and inference place different demands on infrastructure. TensorBay brings compute, data paths, and operations into one dedicated environment, planned around how your team builds and deploys models.
See the TensorBay platformWHO WE SERVE
One foundation for different AI journeys.
From an early experiment to a model in production, plan capacity around the work your team needs to do.
FINE-TUNING & RESEARCH
Make the model your own.
Work on dedicated 8-GPU nodes as you adapt models, test ideas, and improve your next release.
Explore GPU systemsPRODUCTION INFERENCE
Put AI to work.
Plan memory-rich GPU capacity and the data path your production workloads depend on.
Explore AI inferenceTEAMS USING TENSORBAY
Behind the teams turning AI into business impact.
- Bank of America
- Halliburton
- BRF
- PicPay
- BMG Bank
- City of Rio de Janeiro
- CNSesi
- AICUBE
- AirCloud
TENSORBAY AT A GLANCE
The operating details behind the ambition.
Clear infrastructure parameters help teams plan capacity, delivery, and the next step with confidence.
GPU capacity across the TensorBay infrastructure footprint.
Cluster goodput over the last 90 days.
Load, memory, network, and thermal checks before handover.
TensorBay infrastructure locations across four regions.
HOW WE WORK
Built around the details that move AI forward.
The infrastructure plan starts with the workload and makes each important decision visible to your team.
- 01
Dedicated by design
GPU capacity is reserved for your workload, with no virtualization layer between your team and the hardware.
- 02
Every layer in sync
Compute, networking, storage, and facility operations are planned together around the data path.
- 03
Evidence before handover
Review load, memory, network, and thermal readiness results before accepting a cluster.
- 04
Costs in the open
Compare published GPU reservation rates and the terms that shape your infrastructure plan.
WHAT WE BUILD
The platform and the infrastructure, working together.
A connected operating model brings dedicated compute and the systems around it into one plan.
TENSORBAY AIFACTORY
A platform built around the workload.
Explore dedicated GPU compute, high-speed networking, storage, and the operational steps that prepare a cluster for work.
A platform built around the workload.
AI INFRASTRUCTURE
The data center behind every run.
See how GPU capacity, power, cooling, locations, and system checks come together across TensorBay infrastructure.
The data center behind every run.WHERE WE OPERATE
Infrastructure with a global footprint.
TensorBay sites span North America, South America, Europe, and Asia. Explore the locations and facility capabilities behind the platform.
TENSORBAY LOCATIONS
- 01United States
- 02Philippines
- 03Brazil
- 04Norway
- 05Switzerland
PEOPLE WHO KNOW THE STACK
Work alongside people who understand the infrastructure.
Bring your model, capacity goals, and timeline. TensorBay specialists can help shape a configuration, review readiness, and plan the next step with your team.
Meet our expert support teamEXPLORE TENSORBAY
See the systems, places, and people behind the work.
Go deeper into GPU compute, AI infrastructure, and the technical support that helps prepare your cluster.
GPU COMPUTE
NVIDIA GPU systems
Compare dedicated nodes and rack-scale systems for training, fine-tuning, and inference.
NVIDIA GPU systemsDATA CENTERS
AI infrastructure
Explore the data-center footprint, power, cooling, and operations around dedicated GPU clusters.
AI infrastructureEXPERT SUPPORT
Plan with the people behind the system
Discuss workload requirements, system readiness, and the path from capacity planning to handover.
Plan with the people behind the system08Give your idea room to grow
Bring your AI plans. Let’s build the foundation.
Tell us about the model, capacity, and timeline. Our team will help map the infrastructure and next steps.
- A configuration built around your project
- A proposal with a delivery timeline
- Acceptance testing before you start