FitMyLLM
▸ NVIDIA· AMPERE

NVIDIA A30X

Running LLMs on the A30X — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
24 GB
HIGH-END
BANDWIDTH
1220
GB/S
MODELS Q4
293/449
65%
7B Q4 SPEED
~139
BLAZING
▸ MODEL COVERAGE @ Q465% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~325
TOK/S
7B
~139
TOK/S
14B
~70
TOK/S
32B
~30
TOK/S
70B
—
39.4GB NEEDED
▸ 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
24 GB
BANDWIDTH
1220 GB/s
FP16 COMPUTE
10.3 TFLOPS
TDP
230W
MEMORY
HBM2e
ARCHITECTURE
Ampere
CUDA CORES
3,584
TENSOR CORES
224
PCIE
Gen 4 x8
293
FAST MODELS · >30 TOK/S
Real-time chat speed
293
USABLE · >10 TOK/S
Comfortable for all tasks
293
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

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▸ COMPATIBLE MODELS· 293
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
10844
TOK/S · 2% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
7230
TOK/S · 2% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
6971
TOK/S · 2% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
6971
TOK/S · 2% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
3812
TOK/S · 3% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
3615
TOK/S · 3% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
3200
TOK/S · 3% VRAM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
2913
TOK/S · 3% VRAM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
2913
TOK/S · 3% VRAM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
2913
TOK/S · 3% VRAM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
2789
TOK/S · 3% VRAM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
2711
TOK/S · 3% VRAM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
2568
TOK/S · 3% VRAM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
1952
TOK/S · 3% VRAM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
1952
TOK/S · 3% VRAM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
1877
TOK/S · 3% VRAM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
1718
TOK/S · 3% VRAM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1718
TOK/S · 3% VRAM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
1627
TOK/S · 4% VRAM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
1627
TOK/S · 4% VRAM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
1627
TOK/S · 4% VRAM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
1574
TOK/S · 4% VRAM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
1319
TOK/S · 4% VRAM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
1301
TOK/S · 4% VRAM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
1205
TOK/S · 4% VRAM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
1122
TOK/S · 4% VRAM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
1038
TOK/S · 4% VRAM
›
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
904
TOK/S · 5% VRAM
›
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
887
TOK/S · 5% VRAM
›
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
813
TOK/S · 5% VRAM
›
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
813
TOK/S · 5% VRAM
›
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
813
TOK/S · 5% VRAM
›
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
813
TOK/S · 5% VRAM
›
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
751
TOK/S · 5% VRAM
›
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
751
TOK/S · 5% VRAM
›
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
751
TOK/S · 5% VRAM
›
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
723
TOK/S · 5% VRAM
›
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
687
TOK/S · 6% VRAM
›
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
687
TOK/S · 6% VRAM
›
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
651
TOK/S · 23% VRAM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your A30X.

WHAT THIS CARD IS WORTH

A30X holds 293 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is DeepSeek Coder 33B 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
DeepSeek Coder 33B33B · IQ4_XS21.6 GB28 tok/sEST
DeepSeek-R1-Distill-Qwen-32B32.8B · IQ4_XS21.5 GB28 tok/sEST
Qwen3 32B32.8B · IQ4_XS21.5 GB28 tok/sEST
Qwen2.5-32B32.5B · IQ4_XS21.3 GB28 tok/sEST
Qwen 2.5 Coder 32B32.5B · IQ4_XS21.3 GB28 tok/sEST
QwQ-32B32.5B · IQ4_XS21.3 GB28 tok/sEST
Granite Switch 4.1 30B Preview32.24B · IQ4_XS21.1 GB28 tok/sEST
OLMo-2-0325-32B32.2B · IQ4_XS21.1 GB28 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M3 Max (36GB)27 GB$2,4991.5 tok/s per $100
M3 Pro (36GB)27 GB$1,9991.2 tok/s per $100
RTX 509032 GB$1,9997.9 tok/s per $100
RTX 5090 D32 GB$1,9997.9 tok/s per $100
A30X24 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 A30X — 24 GB VRAM.

▸ A30X SPEC
BRAND
NVIDIA
VRAM
24 GB HBM2e
BANDWIDTH
1220 GB/s
FP16 COMPUTE
10.3 TFLOPS
FP32 COMPUTE
10.3 TFLOPS
CUDA CORES
3,584
TENSOR CORES
224
TDP
230 W
ARCHITECTURE
Ampere
▸ AI CAPABILITY
293/ 449 models @ Q4

With 24 GB VRAM and 1220 GB/s bandwidth, this GPU handles models up to 30.5B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~139 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR A30X
293 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Qwen3 30B A3B30.5B19.1 GB32546.7
Qwen3-Coder 30B-A3B30.5B19.1 GB29636.9
Qwen3-30B-A3B Instruct 250730.5B19.1 GB29643.0
MPT-30B30B18.8 GB3326.8
OPT 30B30B18.8 GB336.3
Qwen3-Omni 30B-A3B30B18.8 GB32540.6
Granite 4.1 30B30B18.8 GB3324.7
TranslateGemma 27B28.84B18.1 GB3438.6
PaliGemma 2 28B28B17.6 GB3538.6
ERNIE 4.5 VL 28B A3B Thinking28B17.6 GB325—
Qwen3.5-27B27.8B17.5 GB3559.4
Qwen 3.8 27B27.78B17.5 GB3564.6
gemma-3-27b27.4B17.2 GB3627.2
gemma-2-27b27.2B17.1 GB3634.6
Qwen 3.6 27B27B17.0 GB3641.1
Gemma 4 26B A4B26B16.4 GB24447.9
Aria 25B A3.9B25.3B16.0 GB25064.8
Mistral-Small-24B24B15.2 GB4125.0
Mistral-Small-3.1-24B24B15.2 GB4128.8
Magistral Small 24B24B15.2 GB4147.0