Can RTX 5090 32GB run Ornith-1.0-35B?

NVIDIA · 32 GB GDDR7 · 1792 GB/s bandwidth · DeepReinforce · 35.0B (active 3.0B) · MoE · model ctx up to 256K

Yes — the RTX 5090 32GB (32 GB GDDR7) can run Ornith-1.0-35B. At Q4 with the default 8K context it needs ≈ 20.85 GB VRAM (weights 19.25 GB + KV cache 0.6 GB + 1 GB runtime overhead), which fits within 32 GB. Decode at Q4/8K: ≈ 380.1 tok/s (estimated, batch 1). FP16 needs ≈ 71.6 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	20.55 GB	Yes	380.1 est.
Q4	8K default	20.85 GB	Yes	380.1 est.
Q4	32K	22.65 GB	Yes	380.1 est.
FP16	4K	71.3 GB	No	60.2 est.
FP16	8K default	71.6 GB	No	59.7 est.
FP16	32K	73.4 GB	No	56.8 est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

Quant	Weights	KV cache	Overhead	Total needed	RTX 5090 32GB VRAM
Q4	19.25 GB	0.6 GB	1 GB	20.85 GB	32 GB
FP16	70.0 GB	0.6 GB	1 GB	71.6 GB	32 GB

Other GPUs that run Ornith-1.0-35B

• B200 192GB SXM — ≈1697.0 tok/s Q4 est.
• MI300X 192GB — ≈1124.2 tok/s Q4 est.
• H200 141GB SXM5 — ≈1018.2 tok/s Q4 est.
• H100 80GB SXM5 — ≈710.6 tok/s Q4 est.
• Gaudi 3 128GB — ≈694.9 tok/s Q4 est.
• A100 80GB SXM4 — ≈432.5 tok/s Q4 est.
• RTX 4090 24GB — ≈213.8 tok/s Q4 est.
• RTX 4090D 24GB (China) — ≈213.8 tok/s Q4 est.

All GPUs for Ornith-1.0-35B →

Other models for the RTX 5090 32GB

• MiniCPM5-1B — ≈1055.9 tok/s Q4 est.
• Qwen3.5-2B — ≈570.2 tok/s Q4 est.
• GLM-4.7-Flash — ≈380.1 tok/s Q4 est.
• Qwen3-30B-A3B-Instruct-2507 — ≈380.1 tok/s Q4 est.
• Qwen3.5-35B-A3B — ≈380.1 tok/s Q4 est.
• Qwen3.6-35B-A3B — ≈380.1 tok/s Q4 est.
• Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 — ≈380.1 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈356.4 tok/s Q4 est.

All models on the RTX 5090 32GB →