Best GPU for Local AI Enterprise assistant
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 7 października 2026
Ranked for a private company assistant: A shared internal assistant over company knowledge, serving several people from one deployment.
Best overall: NVIDIA GeForce RTX 5090
32 GB VRAM at 1792 GB/s. It runs 130 of the models that qualify for this workload; the strongest is Gemma 4 31B at an estimated 59.4 tokens/sec.
The picks
| GPU | VRAM | MSRP | Models that fit | Best model it runs | Est. speed | |
|---|---|---|---|---|---|---|
| Best overall | NVIDIA GeForce RTX 5090 | 32 GB | $1,999 | 130 | Gemma 4 31B | ~59.4 tok/s |
| Best value | AMD Radeon RX 7900 XT | 20 GB | $899 | 118 | Gemma 4 31B | ~28.6 tok/s |
| Budget pick | Intel Arc B570 | 10 GB | $219 | 93 | Ternary Bonsai 27B | ~16 tok/s |
| Most memory | NVIDIA DGX Spark | 128 GB | $4,699 | 145 | Gemma 4 31B | ~10.2 tok/s |
Full ranking for a private company assistant
| GPU | Score | VRAM | MSRP | Models fit | Est. speed | Tok/s per watt | Cost per model |
|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 5090 | 79 | 32 GB | $1,999 | 130 | ~59.4 | 0.1 | $15 |
| AMD Radeon RX 7900 XTX | 76.1 | 24 GB | $999 | 130 | ~33.9 | 0.1 | $8 |
| NVIDIA GeForce RTX 4090 | 75.4 | 24 GB | $1,599 | 130 | ~35.5 | 0.08 | $12 |
| NVIDIA GeForce RTX 3090 Ti | 74.8 | 24 GB | $1,999 | 130 | ~35.5 | 0.08 | $15 |
| NVIDIA GeForce RTX 3090 | 73.7 | 24 GB | $1,499 | 130 | ~33.1 | 0.09 | $12 |
| NVIDIA RTX 6000 Ada Generation | 72.6 | 48 GB | $6,799 | 134 | ~33.9 | 0.11 | $51 |
| AMD Radeon RX 7900 XT | 71.2 | 20 GB | $899 | 118 | ~28.6 | 0.09 | $8 |
| NVIDIA L40S | 68.5 | 48 GB | $7,499 | 134 | ~30.7 | 0.09 | $56 |
| NVIDIA RTX A6000 | 65.8 | 48 GB | $4,649 | 134 | ~27.5 | 0.09 | $35 |
| Intel Arc Pro B70 | 64.6 | 32 GB | $949 | 130 | ~22.1 | 0.1 | $7 |
| AMD Radeon AI PRO R9700 | 63.7 | 32 GB | $1,299 | 130 | ~23.2 | 0.08 | $10 |
| NVIDIA DGX Spark | 47.6 | 128 GB | $4,699 | 145 | ~10.2 | 0.07 | $32 |
How these numbers are calculated
- GPUs are scored on four axes: capability (45%), speed (30%), value (20%) and efficiency (5%), each normalised across the whole ranking.
- Capability means the intrinsic strength of the best model the card can hold — not how many models fit, and not how fast it streams a small one.
- Speed is capped at 40 tok/s: past that, more throughput does not change how the model feels to use.
- Apple Silicon is excluded from this ranking. Those entries price a whole computer and rate a chip's package power, so on price-per-capability and performance-per-watt they would beat every add-in card by construction. Apple hardware is covered on the macOS platform page instead.
- Licence importance is set to the maximum (1.0) — this is the one workload where a non-commercial or restricted licence is disqualifying in practice regardless of capability, so it is weighted as heavily as the model's own quality.
FAQ
What is the best GPU for a private company assistant?
The NVIDIA GeForce RTX 5090 — 32 GB of VRAM runs 130 qualifying models, the strongest being Gemma 4.
What is the cheapest GPU that works for a private company assistant?
The Intel Arc B570 at $219, which runs 93 qualifying models.
How much VRAM do I need for a private company assistant?
8 GB is the entry point at which a model for this workload will run at all. More memory buys a stronger model, not just a faster one.
What These GPUs Run
- Best models for the NVIDIA GeForce RTX 5090
- Best models for the AMD Radeon RX 7900 XT
- Best models for the Intel Arc B570
- Best models for the NVIDIA DGX Spark
GPU Reviews
- NVIDIA GeForce RTX 5090 review
- AMD Radeon RX 7900 XTX review
- NVIDIA GeForce RTX 4090 review
- NVIDIA GeForce RTX 3090 Ti review