Cloud, local & hybrid
What hardware do you need to run AI models locally?
Learn how model size, quantization, VRAM, RAM, storage, runtime, and workload affect local AI hardware planning.
Short answer
Local AI hardware depends on the exact model, quantization, context length, concurrency, and performance target. GPU memory is often a key constraint, but system RAM, storage, runtime compatibility, and measured task quality matter too. Start from the model’s published requirements and validate on the intended machine.
Start with the exact model artifact
Model parameter count alone does not specify runtime memory. Quantization, context size, framework overhead, and concurrent requests change requirements. Find the exact downloadable artifact, its license, runtime format, and vendor-published memory guidance before purchasing hardware.
Check the whole machine
Assess usable GPU VRAM, system memory, free disk for weights and caches, cooling, power, operating system, and network needs. Leave headroom for the OS and other applications. A model that technically loads may still be too slow or produce weak results for the task.[1]
Benchmark the real workflow
Install the intended runtime and model, then test representative prompts at realistic context sizes and concurrent load. Record startup time, latency, failure rate, output quality, and thermal behavior. Repeat after model or runtime upgrades. Do not use theoretical throughput as a substitute for your own measurements.
Treat readiness as multiple checks
Separate hardware suitability from runtime health, model availability, and successful task execution. StaffGPT’s setup guide lists model and machine requirements; use the current guide for specific numbers because model releases and quantizations change.[1]
Frequently asked questions
Can I run a large model on a CPU only?
Some runtimes support CPU inference, but speed and practical context depend on the specific hardware and model. Benchmark the target workflow before relying on it.
Does a GPU with enough VRAM guarantee the model will work?
No. Runtime compatibility, system memory, model format, storage, and task quality must also be tested.
Sources and further reading
For informational purposes—not legal, financial, or security advice. Verify current sources and terms before making decisions.