How to choose a private AI server
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Choose a private AI server by the models it must run, whether it works offline, how it handles accounts and backups, and who will maintain it. Price comes after those. Olares One, listed at 4,999 USD, fits teams that want this ready-made.
Olares One → Private AI server → Local models · accounts · backups → Company data stays in the company
Criteria
- Runs your chosen models in GPU memory (by an approximate rule, 24 GB fits up to about 32B at 4-bit)
- Works offline after setup, with a clear list of what still needs internet
- A separate account for each person
- Encrypted backups to a location you control
- Remote access you can switch off or restrict
- Little admin work for a team without IT staff
Machines compared
| Machine | Price | Memory for models | Memory type | GPU | CUDA |
|---|---|---|---|---|---|
| Olares One | $4,999 · €4,599.95 | 24 GB | VRAM | RTX 5090 Mobile | yes |
| NVIDIA DGX Spark | $6,950 | 128 GB | Unified, 273 GB/s | NVIDIA GB10 | yes |
| ASUS Ascent GX10 | $5,999 | 128 GB | Unified | NVIDIA GB10 | yes |
| Apple Mac Studio (M5 Ultra) | $5,499 · €6,599 | 96 GB | Unified, 1.2 TB/s | M5 Ultra, 64-core GPU | no |
| Apple Mac Studio (M5 Max) | $2,499 · €2,999 | 36 GB | Unified, 460 GB/s | M5 Max, 32-core GPU | no |
| Apple Mac mini (M5 Pro, 64GB) | $3,199 · €3,649 | 64 GB | Unified, 307 GB/s | M5 Pro, 20-core GPU | no |
| Minisforum MS-S1 Max | $3,959 | 128 GB | Shared (unified) | Radeon 8060S | no |
| GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB) | $3,499.99 | 128 GB | Shared (unified) | Radeon 8060S | no |
| Framework Desktop (Ryzen AI Max+ 395, 128GB) | $3,449 | 128 GB | Shared (unified) | Radeon 8060S | no |
| Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB) | $4,199 | 128 GB | Shared (unified) | Radeon 8060S | no |
| Used RTX 3090 tower build | $3,800 | 24 GB | GDDR6X VRAM, 936 GB/s | RTX 3090 (used) | yes |
| NVIDIA GeForce RTX 5090 (desktop card) | $1,999 | 32 GB | GDDR7 VRAM | RTX 5090 desktop | yes |
Prices and specs read on the makers' pages on 12-13 November 2026; each name links to its source.
How do we weigh the criteria?
We weigh model fit first, because a server that cannot hold the model you need is the wrong server at any price. Offline operation and accounts come next, since they decide whether data stays in-house in practice. Backups and remote access follow. Price comes last.
A cheaper machine that needs days of setup can cost more once staff time is counted.
Where does Olares One fit, and where does it not?
Olares One fits a small business that wants models up to about 32B at 4-bit, several people using it at once and offline operation without building a server. It fits less well when the work needs models much larger than its 24 GB of VRAM at full speed.
In Olares' own test it served 8 concurrent requests on qwen3-30b-a3b at about 81 tokens/s each. For bigger models there are machines with large shared memory pools. NVIDIA DGX Spark has 128 GB of unified memory and listed at 6,950 USD, and a Mac Studio (M5 Ultra) with 96 GB started at 5,499 USD, both read on 12 Nov 2026. They ship with DGX OS and macOS, so you would set up the model server, accounts and backups yourself. The on-premise LLM server guide compares them.
Questions & answers
Should we build our own private AI server?
It can work if you have IT staff for it. One SpecPicks buying guide estimates a used RTX 3090 tower at about 3,800 USD. You then install and maintain the OS, model runner, accounts and backups yourself.
How many people can share one box?
In Olares' own test, Olares One served qwen3-30b-a3b at about 81 tokens/s per request with 8 concurrent requests. Real use depends on model size and prompt length, so test with your own workload.
Sources for this entry
- Olares One specifications (Olares docs) (Company-published)
- NVIDIA DGX Spark: maker's page (Maker-published)
- ASUS Ascent GX10: maker's page (Maker-published)
- Apple Mac Studio (M5 Ultra): maker's page (Maker-published)
- Apple Mac mini (M5 Pro, 64GB): maker's page (Maker-published)
- Minisforum MS-S1 Max: maker's page (Maker-published)
- GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB): maker's page (Maker-published)
- Framework Desktop (Ryzen AI Max+ 395, 128GB): maker's page (Maker-published)
- Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB): maker's page (Maker-published)
- Used RTX 3090 tower build: maker's page (Maker-published)
- NVIDIA GeForce RTX 5090 (desktop card): maker's page (Maker-published)
Continue this reading path
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Cite this entry
Best Private AI Server. “How to choose a private AI server.” Content reviewed 13 November 2026.
https://bestprivateaiserver.com/choosing/