Model fit guide / A100 40GBBenchmark-first pickUpdated June 3, 2026
40 GB VRAM - Cloud 40GB

Best local AI model for A100 40GB.

This is the clean "high-quality 35B" tier, not a clean 70B tier. Qwen3.6-35B-A3B has stronger 2026 benchmark evidence than older 70B compatibility models, and 40GB lets you run it at high quant or BF16 with moderate batch and context.

01 / Recommendation

Run this size class.

Recommended default

Qwen3.6-35B-A3B (BF16/FP8/INT8 or high quant)

Use BF16, FP8, INT8, or high-quality 4-bit. This is the highest-scoring current open-weight model that fits this card cleanly, selected by benchmark then fit then freshness, not by parameter count.

Benchmark anchor

MMLU-Pro 85.6 BF16 / 85.0 NVFP4 · GPQA Diamond 84.9 / 84.8 · AIME 2025 89.2 / 88.8.

Evidence

Qwen3.6-35B-A3B benchmark evidence outranks legacy 70B baselines; 40GB is comfortable for high-quality 35B serving.

02 / Alternates

Other realistic picks.

Qwen3.6-35B-A3B FP8 for throughput

Qwen3-32B dense BF16

Modern 70B only if it wins your eval

03 / More GPUs

Compare another card.

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