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NVIDIA · Workstation · Blackwell

NVIDIA RTX PRO 5000 Blackwell (48GB)

Also sold as a 72 GB model (separate entry).

VRAM

48 GB

GDDR7 ECC

Memory bandwidth

1,344 GB/s

FP16 compute

not published

Price

No list 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 (48 GB)
Qwen3.5 4B4B · Q4_K_M4.3 GBfits
Llama 3.1 8B Instruct8B · Q4_K_M7.1 GBfits
Qwen3 8B8.2B · Q4_K_M7.3 GB160 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 GB213 tok/smedian of 1 run
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 GBfits
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 GBfits
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 GB24 tok/smedian of 1 run
Qwen3 Coder Next80B, 3B active · Q4_K_M46.9 GBfits

Measured speeds

One card

Single-user runs on 1 card
ModelQuantBackendGenerationPromptContextSource
gpt-oss-20bMXFP4llama.cpp (build not stated)213 tok/s10,340 tok/s4,096-token prompt4,096review2026-03
Llama 3.3 70B InstructQ4_Kllama.cpp (build not stated)24 tok/s1,023 tok/s4,096-token prompt4,096review2026-03
Qwen3 8BQ4_Kllama.cpp (build not stated)160 tok/s8,175 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
gpt-oss-20bMXFP4llama.cpp (build not stated)196 tok/s8,748 tok/s16,384-token prompt16,384RTX PRO 5000 Blackwell (48GB)review2026-03
gpt-oss-20bMXFP4llama.cpp (build not stated)183 tok/s7,258 tok/s32,768-token prompt32,768RTX PRO 5000 Blackwell (48GB)review2026-03
Llama 3.3 70B InstructQ4_Kllama.cpp (build not stated)22 tok/s826 tok/s16,384-token prompt16,384RTX PRO 5000 Blackwell (48GB)review2026-03
Qwen3 8BQ4_Kllama.cpp (build not stated)126 tok/s5,846 tok/s16,384-token prompt16,384RTX PRO 5000 Blackwell (48GB)review2026-03
Qwen3 8BQ4_Kllama.cpp (build not stated)98 tok/s4,006 tok/s32,768-token prompt32,768RTX PRO 5000 Blackwell (48GB)review2026-03

Specifications

Memory
48 GB GDDR7 ECC
FP16 basis
NVIDIA publishes 2,064 AI TOPS (FP4 with sparsity) and 65 TFLOPS FP32; no dense FP16 tensor figure.
Board power
300 W
Slots
2
Length
267 mm
PCIe
Gen 5 x16
NVLink
No
Cooling
Blower
Software
CUDA, Vulkan
Released
2025
Availability
sold new
Price basis
No NVIDIA list price found.
Maker page
nvidia.com

Sources

  • nvidia.com: datasheet: 48 GB or 72 GB GDDR7 ECC 384-bit, 1344 GB/s, PCIe 5.0 x16, 300 W, 4.4 x 10.5 in dual slot, active