Best GPU for Local AI Enterprise assistant
Written by Jakub Rusinowski · Last updated October 7, 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 117 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 | 117 | Gemma 4 31B | ~59.4 tok/s |
| Best value | AMD Radeon RX 7800 XT | 16 GB | $499 | 91 | Devstral Small 2 24B | ~28.9 tok/s |
| Budget pick | Intel Arc B570 | 10 GB | $219 | 80 | Qwen 3 14B | ~27.8 tok/s |
| Most memory | NVIDIA DGX Spark | 128 GB | $4,699 | 131 | 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 | 78.1 | 32 GB | $1,999 | 117 | ~59.4 | 0.1 | $17 |
| AMD Radeon RX 7900 XTX | 75 | 24 GB | $999 | 117 | ~33.9 | 0.1 | $9 |
| NVIDIA GeForce RTX 4090 | 74.4 | 24 GB | $1,599 | 117 | ~35.5 | 0.08 | $14 |
| NVIDIA GeForce RTX 3090 Ti | 73.7 | 24 GB | $1,999 | 117 | ~35.5 | 0.08 | $17 |
| NVIDIA GeForce RTX 3090 | 72.4 | 24 GB | $1,499 | 117 | ~33.1 | 0.09 | $13 |
| NVIDIA RTX 6000 Ada Generation | 70.8 | 48 GB | $6,799 | 121 | ~33.9 | 0.11 | $56 |
| AMD Radeon RX 7900 XT | 70.2 | 20 GB | $899 | 106 | ~28.6 | 0.09 | $8 |
| NVIDIA L40S | 67.1 | 48 GB | $7,499 | 121 | ~30.7 | 0.09 | $62 |
| NVIDIA GeForce RTX 5070 Ti | 67 | 16 GB | $749 | 91 | ~40.3 | 0.13 | $8 |
| NVIDIA GeForce RTX 5080 | 65 | 16 GB | $999 | 91 | ~42.9 | 0.12 | $11 |
| NVIDIA RTX A6000 | 64.3 | 48 GB | $4,649 | 121 | ~27.5 | 0.09 | $38 |
| Intel Arc Pro B70 | 63.5 | 32 GB | $949 | 117 | ~22.1 | 0.1 | $8 |
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 117 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 80 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 7800 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