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AI Development Workstations

Combine compute, memory and storage for local model experiments, creative work and validation.

Hardware and application reference imagery
PRODUCT PLANNING

Workstations suit interactive development, prototypes and local data processing. Configure around the models and workflows you need to run, rather than isolated peak GPU or CPU specifications.

From specifications to configuration

01

Balanced configuration

Allocate GPU, CPU, system RAM and NVMe capacity around workloads to avoid data-loading bottlenecks.

02

Expansion

Review PCIe lane allocation, slot spacing, memory limits and power headroom for future upgrades.

03

Workspace

Sustained compute requires attention to noise, room cooling, power and placement; desktop and data-centre requirements differ.

04

Validation

Define OS, drivers, frameworks and representative models, recording test conditions and software versions.

Brand directions to compare

Compare against product and technical requirements; supply is subject to confirmation.

Prepare for an enquiry

Provide platform and software versions, workload, target capacity or performance, quantity, budget, location and timing, plus any specified part numbers or compatibility lists.

Scope and deliverables

Discuss selection, bills of materials, samples and procurement on a project basis. Model availability, implementation, installation and validation scope require agreement after requirements review.

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Explore solutions and technical guidance

LET’S BUILD YOUR NEXT CONFIGURATION

Your next configuration starts with a brief.

Discuss your requirements ↗