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

Combine compute, memory and storage for local model experiments, creative work and validation.
Hardware and application reference imageryWorkstations 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.
Allocate GPU, CPU, system RAM and NVMe capacity around workloads to avoid data-loading bottlenecks.
Review PCIe lane allocation, slot spacing, memory limits and power headroom for future upgrades.
Sustained compute requires attention to noise, room cooling, power and placement; desktop and data-centre requirements differ.
Define OS, drivers, frameworks and representative models, recording test conditions and software versions.
Compare against product and technical requirements; supply is subject to confirmation.
Provide platform and software versions, workload, target capacity or performance, quantity, budget, location and timing, plus any specified part numbers or compatibility lists.
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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