FitMyLLM
NVIDIA· BLACKWELL

NVIDIA Jetson T5000

Running LLMs on the Jetson T5000 — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
128 GB
FLAGSHIP
BANDWIDTH
273
GB/S
MODELS Q4
397/449
88%
7B Q4 SPEED
~31
FAST
▸ MODEL COVERAGE @ Q488% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~73
TOK/S
7B
~31
TOK/S
14B
~16
TOK/S
32B
~7
TOK/S
70B
~3
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
128 GB
BANDWIDTH
273 GB/s
FP16 COMPUTE
51.7 TFLOPS
TDP
40W
MEMORY
LPDDR5X
ARCHITECTURE
Blackwell
CUDA CORES
2,560
TENSOR CORES
96
PCIE
Gen 5 x16
177
FAST MODELS · >30 TOK/S
Real-time chat speed
303
USABLE · >10 TOK/S
Comfortable for all tasks
397
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ RENT IT IN THE CLOUD

Buying Jetson T5000 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· 397
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
2427
TOK/S · 0% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
1618
TOK/S · 0% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
1560
TOK/S · 0% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
1560
TOK/S · 0% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
853
TOK/S · 1% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
809
TOK/S · 1% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
716
TOK/S · 1% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
652
TOK/S · 1% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
652
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
652
TOK/S · 1% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
624
TOK/S · 1% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
607
TOK/S · 1% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
575
TOK/S · 1% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
437
TOK/S · 1% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
437
TOK/S · 1% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
420
TOK/S · 1% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
385
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
385
TOK/S · 1% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
364
TOK/S · 1% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
364
TOK/S · 1% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
364
TOK/S · 1% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
352
TOK/S · 1% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
295
TOK/S · 1% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
291
TOK/S · 1% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
270
TOK/S · 1% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
251
TOK/S · 1% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
232
TOK/S · 1% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
202
TOK/S · 1% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
199
TOK/S · 1% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
182
TOK/S · 1% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
182
TOK/S · 1% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
182
TOK/S · 1% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
182
TOK/S · 1% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
168
TOK/S · 1% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
168
TOK/S · 1% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
168
TOK/S · 1% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
162
TOK/S · 1% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
154
TOK/S · 1% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
154
TOK/S · 1% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
146
TOK/S · 4% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Jetson T5000.

WHAT THIS CARD IS WORTH

Jetson T5000 holds 397 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is Step 3.7 Flash at IQ4_XS.

TOKENS/SEC PER $100
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
what memory costs on this card
THE BIGGEST IT TAKES
Step 3.7 Flash201.37B · IQ4_XS115.0 GB25 tok/sEST
Falcon 180B180B · Q4_K_M113.8 GB1 tok/sEST
dots.llm1.inst 142.8B142.8B · Q5_K_M108.1 GB1 tok/sEST
WizardLM 2 8x22B141B · Q5_K_M103.8 GB5 tok/sEST
Mixtral-8x22B140.6B · Q5_K_M103.6 GB5 tok/sEST
DBRX 132B132B · Q6_K111.4 GB5 tok/sEST
Mistral Medium 3.5128B · Q6_K108.8 GB1 tok/sEST
Pixtral Large 124B124B · Q6_K105.6 GB1 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M4 Ultra (192GB)144 GB$7,4991.2 tok/s per $100
M2 Ultra (192GB)144 GB$5,4991.3 tok/s per $100
M3 Ultra (192GB)144 GB$6,9991.0 tok/s per $100
B300144 GB$35,0000.1 tok/s per $100
Jetson T5000128 GB

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 Jetson T5000 — 128 GB VRAM.

JETSON T5000 SPEC
BRAND
NVIDIA
VRAM
128 GB LPDDR5X
BANDWIDTH
273 GB/s
FP16 COMPUTE
51.7 TFLOPS
FP32 COMPUTE
12.9 TFLOPS
CUDA CORES
2,560
TENSOR CORES
96
TDP
40 W
ARCHITECTURE
Blackwell
▸ AI CAPABILITY
397/ 449 models @ Q4

With 128 GB VRAM and 273 GB/s bandwidth, this GPU handles models up to 180B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~31 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR JETSON T5000
397 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Falcon 180B180B110.5 GB151.3
bloom 176.2B176.2B108.2 GB115.0
dots.llm1.inst 142.8B142.8B87.8 GB2
WizardLM 2 8x22B141B86.7 GB642.4
Mixtral-8x22B140.6B86.4 GB631.9
DBRX 132B132B81.2 GB646.3
Mistral Medium 3.5128B78.7 GB246.6
Pixtral Large 124B124B76.3 GB239.3
Nemotron 3 Super 120B-A12B123.61B76.0 GB1853.2
Mistral-Large 123B123B75.7 GB233.5
Devstral 2 123B123B75.7 GB238.1
Qwen 3.5 122B A10B122B75.1 GB2256.8
Nemotron 3 Super 120B120B73.8 GB1857.3
Mistral Small 4 119B119B73.2 GB3450.2
GPT-OSS 120B117B72.0 GB4354.1
Command A 111B111B68.3 GB227.6
GLM 4.5 Air110B67.7 GB1851.0
Qwen 1.5 110B110B67.7 GB233.4
Llama 4 Scout 17B-16E109B67.1 GB1333.9
Cogito v2 109B MoE109B67.1 GB13