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NVIDIA · Workstation · Blackwell (GB202)

NVIDIA RTX PRO 6000 Blackwell Workstation Edition

600 W double-flow-through cooler dumps heat into the case; the Max-Q edition is the one meant for stacking.

VRAM

96 GB

GDDR7 ECC

Memory bandwidth

1,792 GB/s

FP16 compute

not published

Price

~$16,000

new, maker or suggested price

What fits at 4-bit

The 4-bit file plus 8,192 tokens of context and 1.5 GB of overhead, against the VRAM of one card. Speeds are measured medians where someone has published a run at that card count; a blank speed means no run, not a slow one. Machine pages carry estimates for the gaps.

ModelNeeds1 card (96 GB)
Qwen3.5 4B4B · Q4_K_M4.3 GBfits
Llama 3.1 8B Instruct8B · Q4_K_M7.1 GB144 tok/smedian of 2 runs
Qwen3 8B8.2B · Q4_K_M7.3 GB174 tok/smedian of 1 run
Gemma 4 E4B IT8B · Q4_K_M6.5 GBfits
Granite 4.2 8B8.8B · Q4_K_M7.9 GBfits
Qwen3.5 9B9B · Q4_K_M7.0 GBfits
Gemma 4 12B IT11.95B · Q4_K_M8.2 GBfits
Ministral 3 14B Reasoning (2512)13.9B · Q4_K_M10.4 GBfits
Phi-414.7B · Q4_K_M11.3 GBfits
gpt-oss-20b21B, 3.6B active · MXFP4 (native)12.5 GB287 tok/smedian of 3 runs
Devstral Small 2 24B (2512)24B · Q4_K_M16.1 GBfits
Qwen3.6 27B27B · Q4_K_M17.7 GBfits
Gemma 4 26B-A4B IT25.2B, 3.8B active · Q4_K_M17.4 GB197 tok/smedian of 1 run
Qwen3.8 27B27B · Q4_K_M18.2 GBfits
Granite 4.2 30B29.3B · Q4_K_M20.3 GBfits
Gemma 4 31B IT30.7B · Q4_K_M18.9 GB62 tok/smedian of 1 run
Qwen3 Coder 30B-A3B Instruct30.5B, 3.3B active · Q4_K_M19.5 GBfits
Ornith 1.5 35B-A3B35B, 3B active · Q4_K_M21.9 GBfits
Qwen3.6 35B-A3B35B, 3B active · Q4_K_M22.4 GBfits
Nemotron 3.5 Lightning 30B-A3B30B, 3B active · Q4_K_M25.3 GBfits
Llama 3.3 70B Instruct70B · Q4_K_M43.6 GB32 tok/smedian of 1 run
Qwen3 Coder Next80B, 3B active · Q4_K_M46.9 GB91 tok/smedian of 1 run
gpt-oss-120b117B, 5.1B active · MXFP4 (native)60.2 GB202 tok/smedian of 4 runs
Llama 4 Scout 17B-16E Instruct109B, 17B active · Q4_K_M62.4 GBfits
Mistral Small 4 119B (2603)119B, 6.5B active · Q4_K_M69.3 GBfits
GLM-4.5-Air106B, 12B active · Q4_K_M70.9 GB101 tok/smedian of 1 run
Mistral Medium 3.5 128B128B · Q4_K_M74.0 GBfits
Qwen3.5 122B-A10B122B, 10B active · Q4_K_M73.0 GB98 tok/smedian of 1 run
Nemotron 3 Super 120B-A12B120B, 12B active · Q4_K_M82.6 GBfits

Machines built on it

Measured speeds

One card

Single-user runs on 1 card
ModelQuantBackendGenerationPromptContextSource
Gemma 4 26B-A4B ITQ4_Kllama.cpp (build not stated)197 tok/s9,437 tok/s4,096-token prompt4,096review2026-03
Gemma 4 31B ITQ4_Kllama.cpp (build not stated)62 tok/s3,750 tok/s4,096-token prompt4,096review2026-03
GLM-4.5-AirQ4_Kllama.cpp (build not stated)101 tok/s2,795 tok/s4,096-token prompt4,096review2026-03
gpt-oss-120bMXFP4llama.cpp (build not stated)210 tok/s4,579 tok/s4,096-token prompt4,096review2026-03
gpt-oss-120bMXFP4SGLang (lmsysorg/sglang:spark image)208 tok/s949 tok/s2,048-token prompt0review2025-10
gpt-oss-120bMXFP4 MoEllama.cpp b6205 CUDA196 tok/s5,518 tok/s2,048-token prompt0llama.cpp benchmark discussion2025-08
gpt-oss-120bMXFP4Ollama (version not stated)153 tok/s3,409 tok/s0review2025-10
gpt-oss-120bQ8_0llama.cpp b8288221 tok/s6,513 tok/s4,096-token prompt4,096review2026-03
gpt-oss-20bMXFP4SGLang (lmsysorg/sglang:spark image)300 tok/s2,481 tok/s2,048-token prompt0review2025-10
gpt-oss-20bMXFP4 MoEllama.cpp b6205 CUDA287 tok/s11,522 tok/s2,048-token prompt0llama.cpp benchmark discussion2025-08
gpt-oss-20bMXFP4Ollama (version not stated)215 tok/s10,108 tok/s0review2025-10
Llama 3.1 8B InstructQ4_K_MOllama (version not stated)202 tok/s38,864 tok/s0review2025-10
Llama 3.1 8B InstructQ4_K_MLocalScore (llamafile; version not stated on leaderboard)86 tok/s6,346 tok/s0LocalScore2026-10
Llama 3.1 8B InstructQ8_0llama.cpp b7278165 tok/s14,040 tok/s512-token prompt0owner report2025-12
Llama 3.1 8B InstructQ8_0llama.cpp b7278156 tok/s10,093 tok/s512-token prompt0owner report2025-12
Llama 3.1 8B InstructFP8SGLang (lmsysorg/sglang:spark image)144 tok/s38,744 tok/s2,048-token prompt0review2025-10
Llama 3.1 8B InstructQ8_0Ollama (version not stated)144 tok/s40,037 tok/s0review2025-10
Llama 3.3 70B InstructQ4_Kllama.cpp (build not stated)32 tok/s1,689 tok/s4,096-token prompt4,096review2026-03
Llama 3.3 70B InstructQ8_0llama.cpp b727821 tok/s1,735 tok/s512-token prompt0owner report2025-12
Llama 3.3 70B InstructQ8_0llama.cpp b727819 tok/s907 tok/s512-token prompt0owner report2025-12
Qwen3 8BQ4_Kllama.cpp (build not stated)174 tok/s10,964 tok/s4,096-token prompt4,096review2026-03
Qwen3 Coder NextINT4 experts / HQQ4 attention / k4v4 KVKrasis (MoE runtime; version not stated in table)91 tok/s11,211 tok/s0independent benchmark2026-10
Qwen3.5 122B-A10BQ4_Kllama.cpp b828898 tok/s3,055 tok/s4,096-token prompt4,096review2026-03

Speculative decoding, several users, or long context

Kept apart because each measures a different workload from one person chatting near the start of a conversation.

Other runs on this card
ModelQuantBackendGenerationPromptContextMeasured onSource
Gemma 4 26B-A4B ITQ4_Kllama.cpp (build not stated)173 tok/s8,454 tok/s16,384-token prompt16,384RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Gemma 4 26B-A4B ITQ4_Kllama.cpp (build not stated)170 tok/s7,108 tok/s32,768-token prompt32,768RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Gemma 4 31B ITQ4_Kllama.cpp (build not stated)60 tok/s3,062 tok/s16,384-token prompt16,384RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Gemma 4 31B ITQ4_Kllama.cpp (build not stated)56 tok/s2,087 tok/s32,768-token prompt32,768RTX PRO 6000 Blackwell Workstation Editionreview2026-03
GLM-4.5-AirQ4_Kllama.cpp (build not stated)83 tok/s2,107 tok/s16,384-token prompt16,384RTX PRO 6000 Blackwell Workstation Editionreview2026-03
GLM-4.5-AirQ4_Kllama.cpp (build not stated)64 tok/s1,450 tok/s32,768-token prompt32,768RTX PRO 6000 Blackwell Workstation Editionreview2026-03
gpt-oss-120bMXFP4llama.cpp (build not stated)182 tok/s4,061 tok/s16,384-token prompt16,384RTX PRO 6000 Blackwell Workstation Editionreview2026-03
gpt-oss-120bMXFP4llama.cpp (build not stated)162 tok/s3,368 tok/s32,768-token prompt32,768RTX PRO 6000 Blackwell Workstation Editionreview2026-03
gpt-oss-120bQ8_0llama.cpp b8288193 tok/s5,722 tok/s16,384-token prompt16,384RTX PRO 6000 Blackwell Workstation Editionreview2026-03
gpt-oss-120bQ8_0llama.cpp b8288179 tok/s5,000 tok/s32,768-token prompt32,768RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Llama 3.3 70B InstructQ4_Kllama.cpp (build not stated)28 tok/s1,355 tok/s16,384-token prompt16,384RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Llama 3.3 70B InstructQ4_Kllama.cpp (build not stated)26 tok/s1,008 tok/s32,768-token prompt32,768RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Qwen3 8BQ4_Kllama.cpp (build not stated)141 tok/s7,588 tok/s16,384-token prompt16,384RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Qwen3 8BQ4_Kllama.cpp (build not stated)111 tok/s5,301 tok/s32,768-token prompt32,768RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Qwen3.5 122B-A10BQ4_Kllama.cpp b828894 tok/s2,836 tok/s16,384-token prompt16,384RTX PRO 6000 Blackwell Workstation Editionreview2026-03
Qwen3.5 122B-A10BQ4_Kllama.cpp b828891 tok/s2,583 tok/s32,768-token prompt32,768RTX PRO 6000 Blackwell Workstation Editionreview2026-03

Specifications

Memory
96 GB GDDR7 ECC
FP16 basis
NVIDIA publishes 4,000 AI TOPS (FP4 with sparsity) and 126 TFLOPS FP32; no dense FP16 tensor figure.
Board power
600 W
Slots
2
Length
305 mm
PCIe
Gen 5 x16
NVLink
No
Cooling
Open-air
Software
CUDA, Vulkan
Released
2025
Availability
sold new
Price basis
NVIDIA US Marketplace listing reported at $16,000 (out of stock) in Aug 2026, up from $13,250 in June 2026 and $8,565 at the March 2025 launch listing; NVIDIA's store itself could not be loaded from our tooling.
Maker page
nvidia.com

Sources

  • nvidia.com: datasheet: 96 GB GDDR7 ECC 512-bit, 1792 GB/s, PCIe 5.0 x16, 600 W, 5.4 x 12 in dual slot, double flow-through, 4000 AI TOPS FP4 sparse
  • letsdatascience.com: $16,000 marketplace listing Aug 2026
  • tomshardware.com: $13,250 June 2026; $8,565 launch price