Strix Halo GMKtec EVO-X2, 128GB vs NVIDIA RTX PRO 6000 Blackwell, 96GB for local AI
Both hold 40 of the 49 current models here. The GMKtec EVO-X2, 128GB costs $14,500 less, though the RTX PRO 6000 Blackwell, 96GB is priced as the card alone, without the PC around it. On Qwen3.8 27B, the strongest model both hold, the RTX PRO 6000 Blackwell, 96GB is about 7.8× faster: 78 tok/s against 10, both estimated from memory bandwidth. The GMKtec EVO-X2, 128GB pays for itself sooner, in 267 years against 1,071 years at 500k tokens a day.
| Strix Halo GMKtec EVO-X2, 128GB | NVIDIA RTX PRO 6000 Blackwell, 96GB | |
|---|---|---|
| Price | $3,500 | $18,000card only |
| Memory | 128 GB | 96 GB |
| Usable by the GPU | 96 GB | 95 GB |
| Memory bandwidth | 256 GB/s | 1792 GB/s |
| Power under load | 150 W | 600 W |
| Models that fit | 40 | 40 |
| Best model it runs | Qwen3.8 27B | Qwen3.8 27B |
| Speed on that model | 10 tok/s estimated | 78 tok/s estimated |
| Pay-back on that model | Pays back in 267 years | Pays back in 1,071 years |
Run the numbers on the Strix Halo GMKtec EVO-X2, 128GB · or the NVIDIA RTX PRO 6000 Blackwell, 96GB
How much use it takes to pay back
Everything above is at 500k tokens a day. Pay-back moves with how much you actually run, so here are both machines on Qwen3.8 27B, the strongest model both hold, at the five levels of use the calculator names. The Strix Halo GMKtec EVO-X2, 128GB pays back sooner at every level of use, so this is not a choice that turns on how hard you work it.
| A day's use | Strix Halo GMKtec EVO-X2, 128GB | NVIDIA RTX PRO 6000 Blackwell, 96GB |
|---|---|---|
| 50ka few chats a day | 2,670 years | 10,715 years |
| 200klight assistant use | 667 years | 2,679 years |
| 1Ma moderate coding-assistant day | 133 years | 536 years |
| 4Mheavy coding with an agent | 33 years | 134 years |
| 20Magents running most of the day | 9.4 yearsits ceiling | 27 years |
On Qwen3.8 27B the Strix Halo GMKtec EVO-X2, 128GB generates at most 14.3M tokens a day, so its figure at 20M tokens a day is for the most it can do, not for the whole of what was asked.
Run the Strix Halo GMKtec EVO-X2, 128GB at 20M tokens a day · or the NVIDIA RTX PRO 6000 Blackwell, 96GB
Memory is not what separates them
Every model on this list that fits one machine fits the other, and not only at 32k of context: across all 49 models the calculator counts, at every context from 4k to 256k, there is no model one holds and the other does not. The gap in what the GPU can use, 96 GB against 95 GB, is not big enough to change a single answer. So the choice between them is speed, price and power, not what they can hold.
The GMKtec EVO-X2, 128GB is also head to head with another computer: Mac mini M5 Pro, 24GB · Mac Studio M5 Max, 128GB · DGX Spark, 128GB · MacBook Air M5 (15-inch), 16GB · MacBook Pro M5 Pro (16-inch), 64GB · Framework Desktop, 128GB · Mac Studio M5 Max, 64GB. With a graphics card: Radeon AI PRO R9700, 32GB. With the same machine at another memory size: 64GB.
The RTX PRO 6000 Blackwell, 96GB is also head to head with another card: Radeon AI PRO R9700, 32GB · GeForce RTX 5090, 32GB · GeForce RTX 4090, 24GB · GeForce RTX 3090, 24GB · GeForce RTX 4080, 16GB · GeForce RTX 3060, 12GB. With a complete computer: Mac mini M5 Pro, 24GB · Mac Studio M5 Max, 128GB · DGX Spark, 128GB · MacBook Air M5 (15-inch), 16GB · MacBook Pro M5 Pro (16-inch), 64GB.
The assumptions behind both columns
Both columns use the same usage: 500k tokens a day at 15:1 input to output, 32k of context, $0.17 per kWh, and today's API prices held flat. Speeds marked estimated are worked out from memory bandwidth rather than measured, and pay-back scales with them. The RTX PRO 6000 Blackwell, 96GB is priced as the card alone, so add the PC around it before comparing it with a complete computer. All seven cards here are ranked by what each one holds. Change any of it in the calculator.
More head to head: everything the Strix Halo GMKtec EVO-X2, 128GB runs · everything the NVIDIA RTX PRO 6000 Blackwell, 96GB runs · every other match-up · the quickest pay-back at each level of use · every model against the frontier