A16 vs A30

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Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.

Verdict

A30 has 8 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, A30 delivers 9.4× higher FP16 throughput. A30 supports a broader range of models (566 vs 502 from this catalog), giving more flexibility.

Specifications

A16A30
VRAM16 GB24 GB
VRAM TypeGDDR6HBM2
Memory Bandwidth0.4 TB/s0.9 TB/s
FP16 Performance18 TFLOPS165 TFLOPS
ManufacturerNVIDIANVIDIA
FP8 SupportNoNo
FP4 SupportNoNo

Price / Performance

Based on cheapest single-GPU on-demand pricing. Lower $/TFLOP = better compute value; lower $/GB = better memory value.

A16A30
$/hr (cheapest)
$/TFLOP (compute value)
$/GB VRAM (memory value)

Cloud Pricing

Cheapest on-demand price per provider (single GPU).

A16

No cloud pricing available.

A30

No cloud pricing available.

Model Compatibility

Models from the catalog that fit on each GPU, grouped by required precision.

A16 (502 models)

A30 (566 models)

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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons