FitMyLLM
NVIDIA· BLACKWELL 2.0

NVIDIA RTX PRO 5000 72 GB Blackwell

Running LLMs on the RTX PRO 5000 72 GB Blackwell — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $6,999 buys

VRAM
72 GB
FLAGSHIP
BANDWIDTH
1340
GB/S
MODELS Q4
374/449
83%
7B Q4 SPEED
~153
BLAZING
▸ MODEL COVERAGE @ Q483% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
~357
TOK/S
7B
~153
TOK/S
14B
~77
TOK/S
32B
~34
TOK/S
70B
~15
TOK/S
▸ MEASURED RIG REPORTS

We rent the machine and time every model on it: decode, VRAM peak, concurrency, watts and cost per million tokens. Yours may already be one of them — and two are free to read in full.

SEE THE REPORTS
▸ SPECIFICATIONS
VRAM
72 GB
BANDWIDTH
1340 GB/s
FP16 COMPUTE
66.9 TFLOPS
TDP
300W
MEMORY
GDDR7
ARCHITECTURE
Blackwell 2.0
CUDA CORES
14,080
TENSOR CORES
440
PCIE
Gen 5 x16
MSRP
$6,999
344
FAST MODELS · >30 TOK/S
Real-time chat speed
374
USABLE · >10 TOK/S
Comfortable for all tasks
374
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ RENT IT IN THE CLOUD

Buying RTX PRO 5000 72 GB Blackwell costs $15–$40k and isn’t practical for most teams. Spin one up by the hour instead:

Spin up in ~60s. Pay by the second. Cancel anytime.

Some links are affiliate links — we may earn a small commission at no extra cost to you. This helps keep FitMyLLM free and independent.

▸ COMPATIBLE MODELS· 374
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
11911
TOK/S · 1% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
7941
TOK/S · 1% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
7657
TOK/S · 1% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
7657
TOK/S · 1% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
4188
TOK/S · 1% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
3970
TOK/S · 1% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
3515
TOK/S · 1% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
3200
TOK/S · 1% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
3200
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
3200
TOK/S · 1% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
3063
TOK/S · 1% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
2978
TOK/S · 1% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
2821
TOK/S · 1% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
2144
TOK/S · 1% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
2144
TOK/S · 1% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
2062
TOK/S · 1% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
1887
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1887
TOK/S · 1% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
1787
TOK/S · 1% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
1787
TOK/S · 1% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
1787
TOK/S · 1% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
1729
TOK/S · 1% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
1449
TOK/S · 1% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
1429
TOK/S · 1% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
1323
TOK/S · 1% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
1232
TOK/S · 1% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
1140
TOK/S · 1% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
993
TOK/S · 2% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
975
TOK/S · 2% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
893
TOK/S · 2% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
893
TOK/S · 2% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
893
TOK/S · 2% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
893
TOK/S · 2% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
825
TOK/S · 2% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
825
TOK/S · 2% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
825
TOK/S · 2% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
794
TOK/S · 2% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
755
TOK/S · 2% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
755
TOK/S · 2% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
715
TOK/S · 8% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your RTX PRO 5000 72 GB Blackwell.

WHAT THIS CARD IS WORTH

RTX PRO 5000 72 GB Blackwell holds 374 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is GLM 4.5 Air at IQ4_XS.

TOKENS/SEC PER $100
1.7
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
1.03 GB
what memory costs on this card
THE BIGGEST IT TAKES
GLM 4.5 Air110B · IQ4_XS64.5 GB82 tok/sEST
Llama 4 Scout 17B-16E109B · IQ4_XS64.0 GB58 tok/sEST
Cogito v2 109B MoE109B · IQ4_XS64.0 GB58 tok/sEST
Ling 2.6 Flash107.49B · IQ4_XS62.6 GB133 tok/sEST
Sarvam 105B105B · Q4_K_S63.9 GB9 tok/sEST
Command-R+ 104B104B · Q4_K_S64.2 GB9 tok/sEST
Llama-3.2-90B-Vision-Instruct90B · Q4_K_M58.8 GB10 tok/sEST
Hunyuan A13B80B · Q5_K_M60.0 GB59 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M1 Ultra (128GB)96 GB$4,9991.4 tok/s per $100
M2 Ultra (128GB)96 GB$3,9991.8 tok/s per $100
M4 Max (128GB)96 GB$3,9991.4 tok/s per $100
H100 PCIe 96 GB96 GB$25,0000.1 tok/s per $100
RTX PRO 5000 72 GB Blackwell72 GB$6,9991.7 tok/s per $100

Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.

▸ DEVICE UNDER TEST

NVIDIA RTX PRO 5000 72 GB Blackwell — 72 GB VRAM.

RTX PRO 5000 72 GB BLACKWELL SPEC
BRAND
NVIDIA
VRAM
72 GB GDDR7
BANDWIDTH
1340 GB/s
FP16 COMPUTE
66.9 TFLOPS
FP32 COMPUTE
66.9 TFLOPS
CUDA CORES
14,080
TENSOR CORES
440
TDP
300 W
ARCHITECTURE
Blackwell 2.0
MSRP
$6999
▸ AI CAPABILITY
374/ 449 models @ Q4

With 72 GB VRAM and 1340 GB/s bandwidth, this GPU handles models up to 90B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~153 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR RTX PRO 5000 72 GB BLACKWELL
374 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Llama-3.2-90B-Vision-Instruct90B55.5 GB1248.5
Hunyuan A13B80B49.4 GB8281.1
Qwen3-Coder-Next80B49.4 GB35743.0
Qwen3-Next 80B A3B80B49.4 GB35749.0
NVLM-D 72B79.38B49.0 GB1448.7
InternVL3 78B78B48.2 GB1480.6
Qwen2.5-72B72.7B44.9 GB1539.7
Qwen2-VL 72B72.7B44.9 GB1555.5
Qwen 1.5 72B72B44.5 GB1549.7
Qwen2 Math 72B72B44.5 GB1549.7
Molmo 72B72B44.5 GB1554.1
DeepSeek R1 Distill Llama 70B70.6B43.6 GB1542.4
Llama 3.3 70B70.6B43.6 GB1544.8
Llama 3.1 70B70.6B43.6 GB1533.2
Llama 3 70B70.6B43.6 GB1544.1
Llama-3.1-Nemotron-70B70.6B43.6 GB1543.7
Cogito 70B70B43.3 GB15
Llama 2 70B70B43.3 GB1533.4
CodeLlama 70B70B43.3 GB1545.7
Dolphin Llama 3 70B70B43.3 GB1545.7