TENSORBAY AIFACTORY

One platform, every layer in sync.

Dedicated NVIDIA GPUs, high-speed networking, integrated storage, and data-center operations, planned around your workload.

ONE PLATFORM, PLANNED TOGETHER

The infrastructure behind every run.

Compute, networking, storage, and facility operations are considered together, so the system fits the way your team builds and runs AI.

01 / GPU COMPUTE

Compare dedicated NVIDIA 8-GPU nodes and rack-scale systems for training, fine-tuning, and inference.

02 / AI DATA CENTERS

Power delivery, cooling, and rack configuration are considered alongside each GPU system.

THE PLATFORM, BY THE NUMBERS

8 GPUs

Dedicated compute in each HGX node.

72 hours

System checks before cluster handover.

130 kW

Rack power and direct-to-chip cooling planned for dense GPU systems.

THE TENSORBAY PLATFORM

Plan the compute, data path, facility, and handover as parts of one system.

GPU COMPUTE
From the newest GPUs to complete racks
Compare dedicated NVIDIA 8-GPU nodes and rack-scale systems for training, fine-tuning, and inference.
Explore GPU systems
STORAGE
Keep datasets and checkpoints close to compute
Choose NVMe and storage options around dataset size, throughput needs, and checkpoint frequency.
Explore storage options
NETWORKING
Connect GPUs to the data they need
Plan InfiniBand topology and bandwidth around cluster size, communication patterns, and distributed training.
Explore networking
AI DATA CENTERS
Facilities planned for dense GPU systems
Power delivery, cooling, and rack configuration are considered alongside each GPU system.
See the infrastructure
SECURITY
Controls from access through hardware release
Review the physical access, identity, data protection, and media-handling controls in scope for your deployment.
Review security controls
ENGINEERING SUPPORT
From capacity planning to handover
Work with TensorBay engineers to scope a configuration, review validation results, and plan deployment.
Plan your cluster