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IBMGraniteGraniteSwitchForCausalLM

Granite Switch 4.1 30B Preview — Hardware Requirements & GPU Compatibility

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Granite Switch 4.1 30B Preview is a 32.2B-parameter open language model from IBM in the Granite family. It supports a context window of up to 131,072 tokens. At BF16 it needs about 65.32 GB of VRAM — see which GPUs and Macs can run it below.

32.2B params · dense131K contextApache 2.0339 downloads25 likes

Granite Switch 4.1 30B Preview runs on a 96 GB+ Mac or a workstation GPU

Best local pick → Mac Studio (M3 Ultra, 96GB) · BF16 · 69.1 GB · ~9 tok/s

Macs from96 GB BF16 · ~9 tok/s

Apache 2.0

Not set up for it?

Reference GPU · RTX 4090 24 GB

Estimates, ±20% · how we estimate

Run Granite Switch 4.1 30B Preview

One recommended way. Every other method, OS and quant is in the step-by-step guide.

Recommended

vLLM
one command · needs vLLM installed
$vllm serve ibm-granite/granite-switch-4.1-30b-preview --max-model-len 16384 --tensor-parallel-size 8

vLLM repo with its own quantisation

Download: Weights on Hugging Face

install, OS, other quants

Other ways

each opens step-by-step

Run in cloud

Fits on RTX PRO 6000 (96 GB) (26 GB headroom) · BF16

Generation speed
~16 tok/s
generation speed
Cost per 1M output tokens
$26.83
per 1M output tokens

How Much VRAM Does Granite Switch 4.1 30B Preview Need?

Select a quantization level; the listed hardware adheres to it.

QuantizationVRAM+32KRuns on
65.3 GB73.5 GB16-bit · bfloat — Brain floating point 16 — preferred for trainingRuns on RTX PRO 5000 Blackwell 72 GB
est.calculated, no published file yet

Selected BF16

Brain floating point 16

69.1GBat 16K context

Weights
64.5 GB
KV cache
4.4 GB
Overhead
0.3 GB

Server-class: ~69.1 GB at 16K context · one RTX PRO 5000 Blackwell 72 GB

Or rent RTX PRO 6000 from $1.54/hr.

Which Hardware Can Run Granite Switch 4.1 30B Preview?

BF16 · 65.3 GB

Granite Switch 4.1 30B Preview (BF16) requires 65.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 85+ GB is recommended. Using the full 131K context window can add up to 34.4 GB, bringing total usage to 99.7 GB. No consumer GPU has enough memory. 30 devices with unified memory can run Granite Switch 4.1 30B Preview, including Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Studio (M3 Ultra, 96GB).

By VRAM tier · typical GPUs and Macs at BF16

Consumer GPUs (up to 32 GB) and Macs up to 64 GB: too small for this model (needs ≥ 69.1 GB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →

Alternatives to Granite Switch 4.1 30B Preview

Granite family · 26 models →

Similar models

6
ModelScoreVRAMWhy it is similar
Hy Memory 30B A3BTencent—19.1 GBsame size
Llm Jp 4.1 32B A3b Thinkingllm-jp—20.1 GBsame size
Llm Jp 4.1 33B Thinkingllm-jp—22.5 GBsame size
Agnes 3.0 FlashAgnes-AI—22.1 GBsame size
NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA—19.3 GBsame size
Hy MT2 30B A3BTencent—19.1 GBsame size

Specifications

Publisher
IBM
Family
Granite
Parameters
32.2B
Architecture
GraniteSwitchForCausalLM
Context Length
131,072 tokens
Vocabulary Size
100,364
Release Date
2026-05-01
License
Apache 2.0

Frequently Asked Questions

How much VRAM does Granite Switch 4.1 30B Preview need?

Granite Switch 4.1 30B Preview requires 65.3 GB of VRAM at BF16. Full 131K context adds up to 34.4 GB (99.7 GB total).

VRAM = Weights + KV Cache + Overhead

Weights = 32.2B × 16 bits ÷ 8 = 64.5 GB

KV Cache + Overhead ≈ 0.8 GB (at 2K context + ~0.3 GB framework)

Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.

KV Cache + Overhead ≈ 35.2 GB (at full 131K context)

VRAM usage by quantization

65.3 GB
99.7 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 5090 run Granite Switch 4.1 30B Preview?

No — Granite Switch 4.1 30B Preview requires at least 65.3 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.

Can I run Granite Switch 4.1 30B Preview on a Mac?

Yes — Mac Studio (M3 Ultra, 96GB) and 20 other Macs can run Granite Switch 4.1 30B Preview. Apple Silicon uses unified memory, so the model shares RAM with the system. At BF16 you need at least 65.3 GB of usable unified memory (RAM minus macOS overhead).

Can I run Granite Switch 4.1 30B Preview locally?

Yes — Granite Switch 4.1 30B Preview can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is Granite Switch 4.1 30B Preview?

At BF16, Granite Switch 4.1 30B Preview can reach ~74 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.

tok/s = (bandwidth GB/s ÷ model GB) × efficiency

Example: NVIDIA B200 → 8000 ÷ 65.3 × 0.65 = ~80 tok/s

Estimated speed at BF16 (65.3 GB)

~80 tok/s
~80 tok/s
~74 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of Granite Switch 4.1 30B Preview?

At BF16, the download is about 64.48 GB.

Which GPUs can run Granite Switch 4.1 30B Preview?

No single consumer GPU has enough VRAM to run Granite Switch 4.1 30B Preview at BF16 (65.3 GB). Multi-GPU or professional hardware is required.

Which devices can run Granite Switch 4.1 30B Preview?

30 devices with unified memory can run Granite Switch 4.1 30B Preview at BF16 (65.3 GB), including ASUS Ascent GX10, Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB), GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.