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Voltarum Local LLM Hardware Guide

NVIDIA · NVIDIA GPUs · 2025

NVIDIA GeForce RTX 5090

NVIDIA GeForce RTX 5090

Photo: PantheraLeo1359531 · CC BY 4.0

Recommended

The fastest consumer card for local AI: 32 GB and 1.8 TB/s make 30B-class models fly.

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)

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 / 32 GB · with 32 GB
≤ 1,614 tok/s
Qwen3.5 9BRuns
8.3 GB / 32 GB · with 32 GB
≤ 315 tok/s
Gemma 4 12BRuns
9.5 GB / 32 GB · with 32 GB
≤ 252 tok/s
gpt-oss-20bRuns
14 GB / 32 GB · with 32 GB
≤ 895 tok/s
Qwen3.6 27BRuns
20 GB / 32 GB · with 32 GB
≤ 107 tok/s
Qwen3.6 35B A3BRuns
24 GB / 32 GB · with 32 GB
≤ 972 tok/s
Llama 3.3 70BNot enough memory
55 GB / 32 GB · with 32 GB
—
gpt-oss-120bPartly in system RAM
65 GB / 32 GB · with 32 GB
—
Qwen3.5 122B A10BPartly in system RAM
79 GB / 32 GB · with 32 GB
—
Qwen3.5 397B A17BPartly in system RAM
247 GB / 32 GB · with 32 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: Speed with 27–32B models and image or video generation, if the budget allows.

Editorial opinionWould we buy it today?

Only if speed matters more than size. For bigger models, 128 GB unified-memory machines cost less per GB.

Pros and cons

Editorial opinion

Pros

  • Highest memory bandwidth of any consumer card
  • CUDA: every tool and runtime works on day one
  • 32 GB fits the best 27–31B models with long contexts

Cons

  • Street prices in 2026 are about double the $1,999 launch price
  • 575 W: needs a big power supply and good airflow
  • 32 GB is not enough for 70B+ models on its own

Specifications

Factual data
Manufacturer
NVIDIA
Chip
GB202
Architecture
Blackwell
Type
Graphics card
Form factor
PCIe card
Released
2025
Availability
On sale
Memory options
32 GB
Memory type
GDDR7
Memory bus
512-bit
Memory bandwidth
1.79 TB/s
Usable for models (default)
32 GB / 32 GB
Board / max power
575 W
Interface
PCIe 5.0 x16
Slots
2
Power connector
16-pin 12V-2x6
Compute stack
CUDA
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.cppExcellent
  • OllamaExcellent
  • LM StudioExcellent
  • vLLMExcellent
  • 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 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

Two used cards give 48 GB for less

AMD GPUs

AMD Radeon AI PRO R9700

Memory
32 GB
Bandwidth
645 GB/s

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

32 GB for about a third of an RTX 5090: the cheapest new 32 GB card.

from $1,550 (typical price)Recommended

Same 32 GB for about a third of the price

Apple silicon

Apple Mac Studio (M5 Max)

Memory
128 GB
Bandwidth
614 GB/s

Largest popular model at 4-bit: Qwen3.5 122B A10B

128 GB at 614 GB/s: gpt-oss-120b and 122B MoE models at a good pace, almost silently.

from $2,499 (launch price)Highly recommended

Four times the memory, quieter, slower

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