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Practice 05 ยท Cybersecurity & Cloud

GPU capacity without buying the hardware.

Cloud GPU instances and HPC clusters for AI training, inference, rendering and simulation, connected to your data.

01What we deliver

Cloud GPU and HPC

  • GPU instances. Capacity sized to training and inference workloads.
  • HPC clusters. Compute for simulation and research.
  • Rendering. Burst capacity for media and design rendering.
  • Data staging. Datasets moved from archive to GPU storage.
  • Cost control. Capacity turned off when jobs finish.
  • Hybrid. Cloud GPU alongside on-premises clusters.

02How it connects

From start to finish.

The path we design around. Every project starts from your own version of it.

01 Prepare

Data

Staging
02 Run

GPU jobs

Instances
03 Store

Results

Object
04 Archive

Long term

Tape
05 Review

Costs

Reports

05Questions

Questions about cloud gpu and hpc.

Is cloud GPU cheaper than buying GPUs?
For intermittent workloads, usually yes. For constant, heavy use, owned hardware can cost less over time. We model both.
How do large datasets reach cloud GPUs?
Through planned staging from your storage or archive, sized to the bandwidth available.

06Cybersecurity & Cloud enquiries

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Cloud and security enquiry