NVIDIA RTX PRO 2000 Blackwell vs AMD Radeon RX 7900 XTX

For running models locally, priced in the US. At 64k context the first runs 32 models fully in memory, the second 48.

In short

The AMD Radeon RX 7900 XTX has more memory for models: 24 GB against 16 GB. At 64k context the AMD Radeon RX 7900 XTX runs 48 of the models we track fully in memory and the NVIDIA RTX PRO 2000 Blackwell 32; only the AMD Radeon RX 7900 XTX holds Qwen 3.8 27B. On the models both run fully in memory, the AMD Radeon RX 7900 XTX is about 3.0× as fast as the NVIDIA RTX PRO 2000 Blackwell (estimated, median across models). In the US the NVIDIA RTX PRO 2000 Blackwell costs $1,540 at eBay and the AMD Radeon RX 7900 XTX $1,400 at Amazon: the AMD Radeon RX 7900 XTX is $140 cheaper.

Updated . Speeds are estimates; how they are worked out.

Specifications

SpecNVIDIA RTX PRO 2000 BlackwellAMD Radeon RX 7900 XTX
GPURTX PRO 2000 BlackwellRadeon RX 7900 XTX
Memory16 GB GDDR724 GB GDDR6
Memory bus128-bit384-bit
Memory bandwidth288 GB/s960 GB/s
FP16 compute17.03 TFLOPS123 TFLOPS
SoftwareCUDAROCm
Board power70 W355 W
PCIe generationGen 5Gen 4
PCIe lanesx8x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelNVIDIA RTX PRO 2000 BlackwellAMD Radeon RX 7900 XTX
Qwen 3.8 27Boffload24tok/sQ4_K_M
Qwen 3.6 27Boffload25tok/sQ4_K_M
Qwen 3.6 35B-A3Boffload97tok/sUD-Q4_K_M
Qwen 3.5 27Boffload25tok/sQ4_K_M
Gemma 4 26B-A4Boffload66tok/sUD-Q5_K_M
Qwen 3.5 35B-A3Boffload98tok/sQ4_K_M
GLM 4.7 Flashoffload48tok/sQ4_K_M
gpt-oss 20B27tok/sMXFP478tok/sMXFP4
Gemma 4 12B13tok/sQ8_038tok/sQ8_0
Qwen 3.5 9B15tok/sQ8_045tok/sQ8_0
Gemma 3 27Boffload24tok/sQ4_K_M
Ministral 3 14Boffload24tok/sQ6_K
Qwen3 14Boffload23tok/sQ6_K
DeepSeek R1 0528 Qwen3 8B12tok/sQ4_K_M29tok/sQ8_0
Qwen3 8B12tok/sQ4_K_M29tok/sQ8_0
Phi-4 14Boffload24tok/sQ4_K_M
Qwen 3.5 4B27tok/sQ8_079tok/sQ8_0
Ministral 3 8B12tok/sQ5_K_M29tok/sQ8_0
Granite 4.2 8Boffload26tok/sQ8_0
Gemma 4 E4B18tok/sQ8_052tok/sQ8_0
LFM2.5 8B-A1B25tok/sQ8_074tok/sQ8_0
Llama 3.1 8B12tok/sQ6_K35tok/sQ6_K
Qwen2.5 0.5B134tok/sQ8_0395tok/sQ8_0
Qwen3.5 0.8B109tok/sQ8_0323tok/sQ8_0
Qwen3.5 2B79tok/sQ5_K_M234tok/sQ5_K_M
LFM3 1.7B67tok/sQ8_0198tok/sQ8_0
DeepSeek R1 Distill Qwen 1.5B47tok/sQ8_0140tok/sQ8_0
MiniCPM5 2B33tok/sQ8_096tok/sQ8_0
Spark X2.5 4B32tok/smlx-4bit96tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking29tok/sQ8_087tok/sQ8_0
Kimi VL A3B Thinking 250627tok/sQ4_K_M62tok/sQ8_0
FrogNano 4B 260926tok/sQ8_077tok/sQ8_0
LFM2.5 2.6B26tok/sQ8_077tok/sQ8_0
LFM2.5 VL 3B26tok/sQ8_077tok/sQ8_0
Kimi VL A3B26tok/smlx-5bit60tok/smlx-8bit
granite vision 4.1 4b20tok/sQ8_059tok/sQ8_0
granite 4.2 3b19tok/sQ8_057tok/sQ8_0
Ministral 3 3B Instruct 251217tok/sQ8_050tok/sQ8_0
GLM 4 9B 041416tok/smlx-5bit48tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B15tok/sQ8_045tok/sQ8_0
GLM 4.6V Flash14tok/sQ8_042tok/sQ8_0
GLM 4.1V 9B Thinking12tok/smlx-8bit37tok/smlx-8bit
DeepSeek R1 Distill Llama 8B12tok/sQ6_K31tok/sQ8_0
Ministral 3 8B Reasoning 251212tok/sQ5_K_M29tok/sQ8_0
LFM2.5 24B A2Boffload48tok/sQ4_K_M
Muse Glimmer 30Boffload25tok/sQ5_K_M
Ministral 3 14B Reasoning 2512offload24tok/sQ6_K
DeepSeek R1 Distill Qwen 14Boffload23tok/sQ5_K_M
Qwen 3.5 122B-A10Bwon't runoffload
Gemma 4 31Boffloadoffload
Qwen3 Coder Nextwon't runoffload
Mistral Small 4 119Boffloadoffload
Devstral Small 2 24Boffloadoffload
Qwen3 Next 80B-A3Bwon't runoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Qwen3 32Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
Qwen3.8 27B OBLITERATEDoffloadoffload
granite 4.2 30boffloadoffload
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
Nemotron 3 Super 120B-A12Bwon't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Llama 3.3 70Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Distill Llama 70Bwon't runwon't run
DeepSeek R1 Zerowon't runwon't run
DeepSeek V3won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.5won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6won't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi Dev 72Bwon't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run
Mistral Medium 3.5 128Bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA RTX PRO 2000 Blackwell or the AMD Radeon RX 7900 XTX?
Choose the AMD Radeon RX 7900 XTX to run bigger models. Choose the AMD Radeon RX 7900 XTX for speed. Choose the AMD Radeon RX 7900 XTX to spend less.
Which can run bigger models, the NVIDIA RTX PRO 2000 Blackwell or the AMD Radeon RX 7900 XTX?
At 64k context the AMD Radeon RX 7900 XTX runs 48 of the models we track fully in memory and the NVIDIA RTX PRO 2000 Blackwell 32; only the AMD Radeon RX 7900 XTX holds Qwen 3.8 27B.
Which is faster for local AI, the NVIDIA RTX PRO 2000 Blackwell or the AMD Radeon RX 7900 XTX?
On the models both run fully in memory, the AMD Radeon RX 7900 XTX is about 3.0× as fast as the NVIDIA RTX PRO 2000 Blackwell (estimated, median across models).
What is the price difference between the NVIDIA RTX PRO 2000 Blackwell and the AMD Radeon RX 7900 XTX?
In the US the NVIDIA RTX PRO 2000 Blackwell costs $1,540 at eBay and the AMD Radeon RX 7900 XTX $1,400 at Amazon: the AMD Radeon RX 7900 XTX is $140 cheaper.

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