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Voltarum Local LLM Hardware Guide

NVIDIA · NVIDIA GPUs · 2025

NVIDIA GeForce RTX 5070 Ti

Recommended

Nearly RTX 5080 bandwidth for less. Still 16 GB, so speed rather than size.

Memory
16 GB
Bandwidth
896 GB/s
Power
300 W
Largest popular model at 4-bit
gpt-oss-20b

from $1,190 (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 / 16 GB · with 16 GB
≤ 807 tok/s
Qwen3.5 9BRuns
8.3 GB / 16 GB · with 16 GB
≤ 158 tok/s
Gemma 4 12BRuns
9.5 GB / 16 GB · with 16 GB
≤ 126 tok/s
gpt-oss-20bRuns
14 GB / 16 GB · with 16 GB
≤ 448 tok/s
Qwen3.6 27BNot enough memory
20 GB / 16 GB · with 16 GB
—
Qwen3.6 35B A3BPartly in system RAM
24 GB / 16 GB · with 16 GB
—
Llama 3.3 70BNot enough memory
55 GB / 16 GB · with 16 GB
—
gpt-oss-120bPartly in system RAM
65 GB / 16 GB · with 16 GB
—
Qwen3.5 122B A10BPartly in system RAM
79 GB / 16 GB · with 16 GB
—
Qwen3.5 397B A17BPartly in system RAM
247 GB / 16 GB · with 16 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: Fast answers from 8–14B models and MoE models that fit in 16 GB.

Editorial opinionWould we buy it today?

A good fast card for small models; for more memory per euro look at 24–32 GB options.

Pros and cons

Editorial opinion

Pros

  • 896 GB/s: quick token generation
  • Same memory as the RTX 5080 for less money

Cons

  • 16 GB is the ceiling
  • Prices well above launch in 2026

Specifications

Factual data
Manufacturer
NVIDIA
Chip
GB203
Architecture
Blackwell
Type
Graphics card
Form factor
PCIe card
Released
2025
Availability
On sale
Memory options
16 GB
Memory type
GDDR7
Memory bus
256-bit
Memory bandwidth
896 GB/s
Usable for models (default)
16 GB / 16 GB
Board / max power
300 W
Interface
PCIe 5.0 x16
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

AMD GPUs

AMD Radeon RX 7900 XTX

Memory
24 GB
Bandwidth
960 GB/s

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

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

from $1,358 (typical price)Recommended

AMD GPUs

AMD Radeon RX 9070 XT

Memory
16 GB
Bandwidth
645 GB/s

Largest popular model at 4-bit: gpt-oss-20b

AMD's best gaming card is a solid 16 GB AI card too, with ROCm and Vulkan.

from $759 (typical price)Recommended

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