RTX A6000 for local LLMs — what fits in 48 GB & the real cost

Rent a RTX A6000 from $0.49/hr ($0 markup, as of 2026-07-02). 344 of the 421 models in our catalog fit its 48 GB — plus the honest own-vs-rent-vs-API math, electricity and amortization included.

Three honest ways to run AI on a RTX A6000

Own it: buy the card and pay electricity + amortization — local is real money, not "$0".
Rent it: from $0.49/GPU-hr on your own vendor account (as of 2026-07-02, $0 markup — we never resell compute).
Skip it: run a comparable open model through your own API key, paying per million tokens (prices as of 2026-06-29).

Rent a RTX A6000 — real vendor rates, $0 markup

RunPod: $0.49/GPU-hr — vendor's own price as of 2026-07-02; you pay them directly.
Hyperstack: $0.50/GPU-hr — vendor's own price as of 2026-07-02; you pay them directly.

What fits in 48 GB

344 of the 421 models in the Spanvero catalog fit on one RTX A6000 at a sensible quant (context capped at 16k for the estimate). Most capable first:
StableBeluga2 (petals-team, 69B) — ~48 GB at Q4_K_M; own-key API alternative ≈ $0.65/1M tokens (size estimate).
NVIDIA Nemotron 3 Super 120B A12B NVFP4 (nvidia, 67.2B) — ~47 GB at Q4_K_M; own-key API alternative ≈ $0.64/1M tokens (size estimate).
Kimi Linear 48B A3B Instruct (moonshotai, 49.1B) — ~36 GB at Q4_K_M; own-key API alternative ≈ $0.49/1M tokens (size estimate).
Mixtral 8x7B Instruct (Mistral AI, 46.7B) — ~34 GB at Q4_K_M; own-key API alternative ≈ $0.24/1M tokens (last-known).
Phi 3.5 MoE instruct (microsoft, 41.9B) — ~31 GB at Q4_K_M; own-key API alternative ≈ $0.44/1M tokens (size estimate).
Karnak 40B v1.0 (Applied-Innovation-Center, 40.7B) — ~29 GB at Q4_K_M; own-key API alternative ≈ $0.43/1M tokens (size estimate).
Seed OSS 36B Instruct (ByteDance-Seed, 36.2B) — ~27 GB at Q4_K_M; own-key API alternative ≈ $0.39/1M tokens (size estimate).
Hermes 4.3 36B (NousResearch, 36.2B) — ~27 GB at Q4_K_M; own-key API alternative ≈ $0.39/1M tokens (size estimate).
Qwen AgentWorld 35B A3B (Qwen, 34.7B) — ~40 GB at Q4_K_M; own-key API alternative ≈ $0.38/1M tokens (size estimate).
Yi-1.5-34B-Chat (01.AI, 34.4B) — ~25 GB at Q4_K_M; own-key API alternative ≈ $0.38/1M tokens (size estimate).
Laguna XS.2 (poolside, 33.4B) — ~24 GB at Q4_K_M; own-key API alternative ≈ $0.15/1M tokens.
HyperCLOVAX SEED Think 32B (naver-hyperclovax, 33.3B) — ~39 GB at Q4_K_M; own-key API alternative ≈ $0.37/1M tokens (size estimate).
Qwen3-32B (Alibaba, 32.8B) — ~25 GB at Q4_K_M; own-key API alternative ≈ $0.18/1M tokens.
Qwen2.5 32B Instruct (Qwen, 32.8B) — ~27 GB at Q4_K_M; own-key API alternative ≈ $0.36/1M tokens (size estimate).
cogito v1 preview qwen 32B (deepcogito, 32.8B) — ~27 GB at Q4_K_M; own-key API alternative ≈ $0.36/1M tokens (size estimate).

Why no own-it math for the RTX A6000?

We only publish own-it economics where we have a sourced, dated street price — none for this card yet, and we don't invent numbers.

Rent-price history (append-only daily log)

RunPod: $0.49/hr on 2026-06-20 → $0.49/hr on 2026-07-02 (+0.0%). Logged daily; never back-filled.

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