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Voltarum Local LLM Hardware Guide

Apple · Apple silicon · 2026

Apple Mac Studio (M5 Ultra)

Recommended

Up to 512 GB at 1.2 TB/s: the only single box that holds DeepSeek R1 or Qwen3.5 397B at 4-bit.

Memory
96 GB–512 GB
Bandwidth
1.2 TB/s
Power
480 W
Largest popular model at 4-bit
Qwen3.5 397B A17B

from $5,499 (launch 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 / 72 GB · with 96 GB
≤ 1,081 tok/s
Qwen3.5 9BRuns
8.3 GB / 72 GB · with 96 GB
≤ 211 tok/s
Gemma 4 12BRuns
9.5 GB / 72 GB · with 96 GB
≤ 169 tok/s
gpt-oss-20bRuns
14 GB / 72 GB · with 96 GB
≤ 600 tok/s
Qwen3.6 27BRuns
20 GB / 72 GB · with 96 GB
≤ 71 tok/s
Qwen3.6 35B A3BRuns
24 GB / 72 GB · with 96 GB
≤ 651 tok/s
Llama 3.3 70BRuns
55 GB / 72 GB · with 96 GB
≤ 28 tok/s
gpt-oss-120bRuns, tight
65 GB / 72 GB · with 96 GB
≤ 438 tok/s
Qwen3.5 122B A10BRuns
79 GB / 192 GB · with 256 GB
≤ 196 tok/s
Qwen3.5 397B A17BRuns
247 GB / 384 GB · with 512 GB
≤ 117 tok/s

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: Running the largest open models at home without a rack of GPUs.

Editorial opinionWould we buy it today?

If you need 200B+ models locally, nothing else is this simple. Otherwise the M5 Max is better value.

Pros and cons

Editorial opinion

Pros

  • Up to 512 GB of unified memory
  • 1.2 TB/s bandwidth
  • Quiet, under 500 W

Cons

  • Very expensive at 256–512 GB
  • Prompt processing on huge models takes a while

Good to know

macOS lets the GPU use about two thirds of memory on machines with up to 36 GB, and about three quarters above that. The limit can be raised (sudo sysctl iogpu.wired_limit_mb=…), leaving less for macOS and other apps; our figures use the default.

Specifications

Factual data
Manufacturer
Apple
Chip
M5 Ultra
Architecture
Apple silicon
Type
Unified-memory computer
Form factor
Desktop
Released
2026
Availability
On sale
Memory options
96 GB / 256 GB / 512 GB
Memory type
Unified LPDDR
Memory bandwidth
1.2 TB/s
Usable for models (default)
384 GB / 512 GB
Board / max power
480 W
Compute stack
Metal / MLX
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
  • vLLMPoor
  • MLXExcellent

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 5090

Memory
32 GB
Bandwidth
1.79 TB/s

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

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

from $4,329 (typical price)Recommended

DGX Spark / GB10

NVIDIA GB10 Grace Blackwell (DGX Spark and partners)

Memory
128 GB
Bandwidth
273 GB/s

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

128 GB with CUDA in a tiny box: the NVIDIA answer to Strix Halo and the Mac.

from $5,000 (typical price)Recommended

NVIDIA GPUs

NVIDIA RTX PRO 6000 Blackwell

Memory
96 GB
Bandwidth
1.79 TB/s

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

96 GB on one card at RTX 5090 speed: gpt-oss-120b and 122B MoE models entirely in GPU memory.

from $8,565 (typical price)For advanced users