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Voltarum Local LLM Hardware Guide

NVIDIA · NVIDIA GPUs · 2025

NVIDIA GeForce RTX 5060 Ti 16 GB

NVIDIA GeForce RTX 5060 Ti 16 GB

Photo: FreeMediaKid! · CC BY-SA 4.0

Good budget option

The cheapest new NVIDIA card with 16 GB. Low power and CUDA make it the easy starter card.

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

from $789 (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
≤ 404 tok/s
Qwen3.5 9BRuns
8.3 GB / 16 GB · with 16 GB
≤ 79 tok/s
Gemma 4 12BRuns
9.5 GB / 16 GB · with 16 GB
≤ 63 tok/s
gpt-oss-20bRuns
14 GB / 16 GB · with 16 GB
≤ 224 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: A first AI card for a home server: 8–14B models and MoE models up to about 16 GB.

Editorial opinionWould we buy it today?

Yes, as a starter or second card. Check that the listing says 16 GB.

Pros and cons

Editorial opinion

Pros

  • 16 GB with CUDA at the lowest price
  • 180 W: fine in most cases and power supplies
  • Two of them make a 32 GB setup

Cons

  • 448 GB/s: slower than bigger cards
  • PCIe x8 slows multi-card setups on old boards
  • Easy to confuse with the 8 GB version

Specifications

Factual data
Manufacturer
NVIDIA
Chip
GB206
Architecture
Blackwell
Type
Graphics card
Form factor
PCIe card
Released
2025
Availability
On sale
Memory options
16 GB
Memory type
GDDR7
Memory bus
128-bit
Memory bandwidth
448 GB/s
Usable for models (default)
16 GB / 16 GB
Board / max power
180 W
Interface
PCIe 5.0 x8
Power connector
8-pin or 16-pin (varies by card)
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 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 GeForce RTX 5070 Ti

Memory
16 GB
Bandwidth
896 GB/s

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

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

from $1,190 (typical price)Recommended

Intel GPUs

Intel Arc Pro B60

Memory
24 GB
Bandwidth
456 GB/s

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

The cheapest new 24 GB card, if you can live with Intel's software.

from $599 (typical price)For advanced users