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Voltarum Local LLM Hardware Guide

Best graphics cards for local LLMs

The cards worth buying for running language models at home, from a used RTX 3090 to 96 GB.

Editorial opinionReviewed Oct 11, 2026

For local AI, memory decides which models you can load and memory bandwidth decides how fast they answer. Gaming performance hardly matters. In 2026 the memory shortage has pushed most NVIDIA cards far above their launch prices, which makes 24–32 GB value picks more important than ever.

  1. #1 · Best value for 24 GB

    NVIDIA GeForce RTX 3090

    Good budget option
    Memory
    24 GB
    Bandwidth
    936 GB/s
    Power
    350 W
    Largest popular model at 4-bit
    Qwen3.6 27B

    from $1,340 (typical price)

    Editorial opinionOverall 7.8/10

    Still the cheapest way to 24 GB of fast CUDA memory. Buy renewed, with a warranty.

  2. #2 · Cheapest new 32 GB

    AMD Radeon AI PRO R9700

    Recommended
    Memory
    32 GB
    Bandwidth
    645 GB/s
    Power
    300 W
    Largest popular model at 4-bit
    Qwen3.6 35B A3B

    from $1,550 (typical price)

    Editorial opinionOverall 7.5/10

    32 GB new for a third of an RTX 5090, if you are happy with Linux and llama.cpp.

  3. NVIDIA GeForce RTX 5090

    Photo: PantheraLeo1359531 · CC BY 4.0

    #3 · Fastest

    NVIDIA GeForce RTX 5090

    Recommended
    Memory
    32 GB
    Bandwidth
    1.79 TB/s
    Power
    575 W
    Largest popular model at 4-bit
    Qwen3.6 35B A3B

    from $4,329 (typical price)

    Editorial opinionOverall 8.6/10

    1.8 TB/s and 32 GB: nothing consumer is faster, if you can stomach the 2026 price.

  4. NVIDIA GeForce RTX 5060 Ti 16 GB

    Photo: FreeMediaKid! · CC BY-SA 4.0

    #4 · Best budget card

    NVIDIA GeForce RTX 5060 Ti 16 GB

    Good budget option
    Memory
    16 GB
    Bandwidth
    448 GB/s
    Power
    180 W
    Largest popular model at 4-bit
    gpt-oss-20b

    from $789 (typical price)

    Editorial opinionOverall 7.4/10

    16 GB with CUDA at 180 W: the easy first card for a home server.

  5. #5 · Best for small servers

    NVIDIA RTX PRO 4000 Blackwell

    Recommended
    Memory
    24 GB
    Bandwidth
    672 GB/s
    Power
    140 W
    Largest popular model at 4-bit
    Qwen3.6 27B

    from $1,500 (typical price)

    Editorial opinionOverall 7.3/10

    24 GB in a single slot at 140 W.

  6. #6 · Most memory on one card

    NVIDIA RTX PRO 6000 Blackwell

    For advanced users
    Memory
    96 GB
    Bandwidth
    1.79 TB/s
    Power
    600 W
    Largest popular model at 4-bit
    Qwen3.5 122B A10B

    from $8,565 (typical price)

    Editorial opinionOverall 8.4/10

    96 GB: 100B-class MoE models at full GPU speed.

How we chose

  • Memory first: 16 GB is the minimum we recommend; 24–32 GB opens up the best mid-size models.
  • Bandwidth for speed, from the manufacturer's specifications.
  • Software: CUDA is the easiest path; AMD and Intel need more setup.
  • Real prices in October 2026, not launch prices.

Read the methodology →