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Voltarum Local LLM Hardware Guide

AMD · AMD GPUs · 2022

AMD Radeon RX 7900 XTX

AMD Radeon RX 7900 XTX

Photo: Geni · CC BY-SA 4.0

Recommended

24 GB and 960 GB/s: RTX 3090-class memory, bought new.

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

from $1,358 (typical price)

Researched from manufacturer data and public sources; not tested by us.· Last reviewed Oct 11, 2026

What it can run

Estimate

Popular models at Q4_K_M with a 32K-token context. Memory needed from real model files; speed is the theoretical ceiling.

Change model size or context

Model weightsContext cache (KV)RuntimeUsable limit (colour = verdict)

ModelVerdictMemorySpeed ceiling
Qwen3 1.7BRuns
6.4 GB / 24 GB · with 24 GB
≤ 865 tok/s
Qwen3.5 9BRuns
8.3 GB / 24 GB · with 24 GB
≤ 169 tok/s
Gemma 4 12BRuns
9.5 GB / 24 GB · with 24 GB
≤ 135 tok/s
gpt-oss-20bRuns
14 GB / 24 GB · with 24 GB
≤ 480 tok/s
Qwen3.6 27BRuns
20 GB / 24 GB · with 24 GB
≤ 57 tok/s
Qwen3.6 35B A3BPartly in system RAM
24 GB / 24 GB · with 24 GB
—
Llama 3.3 70BNot enough memory
55 GB / 24 GB · with 24 GB
—
gpt-oss-120bPartly in system RAM
65 GB / 24 GB · with 24 GB
—
Qwen3.5 122B A10BPartly in system RAM
79 GB / 24 GB · with 24 GB
—
Qwen3.5 397B A17BPartly in system RAM
247 GB / 24 GB · with 24 GB
—

Theoretical maximum for generating text: memory bandwidth divided by the bytes read per token. Real runs usually reach about half to three quarters of it.

Where to buy

Prices are editorial references (launch price and a typical street price on the date shown), not live prices. In 2026 the memory shortage has pushed many prices well above launch.

Prices are shown only if updated in the last 24 hours and may change; the retailer’s price at checkout applies. We may earn a commission from these links at no cost to you. Affiliate disclosure

Overview

Editorial opinion

Best for: A new 24 GB card for Linux users who do not need CUDA.

Editorial opinionWould we buy it today?

Good if you want 24 GB new and avoid the used market.

Pros and cons

Editorial opinion

Pros

  • 24 GB new with warranty
  • Fast memory

Cons

  • 355 W
  • ROCm support for RDNA 3 is good but not CUDA-level

Specifications

Factual data
Manufacturer
AMD
Chip
Navi 31
Architecture
RDNA 3
Type
Graphics card
Form factor
PCIe card
Released
2022
Availability
On sale
Memory options
24 GB
Memory type
GDDR6
Memory bus
384-bit
Memory bandwidth
960 GB/s
Usable for models (default)
24 GB / 24 GB
Board / max power
355 W
Interface
PCIe 4.0 x16
Power connector
2× 8-pin
Compute stack
ROCm / Vulkan
Models
Any model that fits
Several units for one model
Yes

Source: Manufacturer specifications

Software support

Editorial opinion

How well the popular local-AI tools run on it today (editorial assessment).

  • llama.cppGood
  • OllamaGood
  • LM StudioGood
  • vLLMWorks with effort
  • MLXNot supported

Measured speeds

Factual data

Measured results with their source. We never invent speeds.

No measured results yet. The table above shows the theoretical ceiling instead.

Alternatives

NVIDIA GPUs

NVIDIA RTX PRO 4000 Blackwell

Memory
24 GB
Bandwidth
672 GB/s

Largest popular model at 4-bit: Qwen3.6 27B

24 GB in a single-slot, 140 W card: the homelab-friendly way to get 24 GB new.

from $1,500 (typical price)Recommended

Intel GPUs

Intel Arc Pro B70

Memory
32 GB
Bandwidth
608 GB/s

Largest popular model at 4-bit: Qwen3.6 35B A3B

Intel's big Battlemage: 32 GB and 608 GB/s for less than AMD's R9700.

from $1,268 (typical price)Recommended

NVIDIA GPUs

NVIDIA GeForce RTX 3090

Memory
24 GB
Bandwidth
936 GB/s

Largest popular model at 4-bit: Qwen3.6 27B

The homelab classic: 24 GB and 936 GB/s, bought used. Two of them make 48 GB.

from $1,340 (typical price)Good budget option