Can A100 80GB SXM4 run Inkling?

NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth · Thinking Machines · 975.0B (active 41.0B) · MoE · model ctx up to 1024K

No — Inkling at Q4 needs ≈ 541.35 GB even at 4K context, beyond the A100 80GB SXM4's 80 GB HBM2e. It would only run with heavy CPU/disk offload. FP16 needs ≈ 1959.2 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	541.35 GB	No	—
Q4	8K default	545.45 GB	No	—
Q4	32K	570.05 GB	No	—
FP16	4K	1955.1 GB	No	—
FP16	8K default	1959.2 GB	No	—
FP16	32K	1983.8 GB	No	—

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	A100 80GB SXM4 VRAM
Q4	536.25 GB	8.2 GB	1 GB	545.45 GB	80 GB
FP16	1950.0 GB	8.2 GB	1 GB	1959.2 GB	80 GB

Other GPUs that run Inkling

No catalog GPU fully fits Inkling at Q4/8K — see the model page for offload estimates.

All GPUs for Inkling →

Other models for the A100 80GB SXM4

• MiniCPM5-1B — ≈1201.4 tok/s Q4 est.
• Qwen3.5-2B — ≈648.8 tok/s Q4 est.
• GLM-4.7-Flash — ≈432.5 tok/s Q4 est.
• Qwen3-30B-A3B-Instruct-2507 — ≈432.5 tok/s Q4 est.
• Qwen3-Next-80B-A3B-Instruct — ≈432.5 tok/s Q4 est.
• Qwen3-Coder-Next — ≈432.5 tok/s Q4 est.
• Qwen3.5-35B-A3B — ≈432.5 tok/s Q4 est.
• Qwen3.6-35B-A3B — ≈432.5 tok/s Q4 est.

All models on the A100 80GB SXM4 →