Apple Mac Studio M2/M3 Ultra (192 GB Unified Memory) — Runnable LLMs, Max Context & tok/s Benchmarks

Physical Memory: 192 GB
Default / Tuned Usable: 144.0 / 169.0 GB
Memory Bandwidth: 800 GB/s
FP16 Compute: 54.4 TFLOPS
Typical Cloud $/hr / CapEx: $0.48/hr · $5,999
TDP / Native FP8: 175W · FP16/INT4

Load in VRAM Calculator → Generate vLLM / Ollama Config → Compare Self-Hosted GPU vs API →

Interactive Workload Simulator on Mac Studio 192GB

Open-Weight Model Preset (or Custom)

Multi-Device Count (1× to 8× Mac Studio 192GB)

Weight Quantization (bpw)

KV Cache Precision

Context Length (tokens) 32,768 tokens

Memory Breakdown & Bandwidth Ceiling

Fits Comfortably

Model Weights: 77.4% KV: 19.4% Overhead: 3.2%

Total Required Memory

51.51 GB

Per-Device Allocation: 51.51 / 192 GB

Model Weights

39.86 GB

KV: 10.00 GB

Est. Single-Stream Decode

8.8 tok/s

Est. Batched Throughput: 8.8 tok/s

Max Context Before OOM

417,308

tokens

3. Apple Silicon Unified Memory & Decode Bandwidth Upper Bound

macOS caps GPU wired memory around 144.0 GB (75%) by default; raising iogpu.wired_limit_mb unlocks up to 169.0 GB (88%).

sudo sysctl iogpu.wired_limit_mb=173015

On macOS Apple Silicon systems, default GPU wired allocation stops near 75% of physical unified RAM unless overridden with sysctl iogpu.wired_limit_mb (modeled up to an 88% safe ceiling that preserves OS stability). Autoregressive decode speed is bounded by effective external memory bandwidth divided by active parameter bytes plus active KV cache bytes read per step, verified every 12 hours by the VRAMLab automated architecture verification pipeline.

Open-Weight LLM Compatibility Matrix on 1× Mac Studio 192GB (32K Context)

Fit status and estimated single-stream decode tok/s across FP16, Q8_0, and Q4_K_M on a single device
Model & Family	FP16	Q8_0	Q4_K_M	Best Comfortable Quant	Max Context (Q4_K_M)	Decode Speed (Q4_K_M)
DeepSeek-R1 (671B MoE) 671B · MLA	Out of Memory (OOM)	Out of Memory (OOM)	Out of Memory (OOM)	—	—	—
DeepSeek-V3-0324 (671B MoE) 671B · MLA	Out of Memory (OOM)	Out of Memory (OOM)	Out of Memory (OOM)	—	—	—
DeepSeek-R1-Distill-Llama-70B 70.6B · GQA	Requires sysctl wired_limit	Fits Comfortably	Fits Comfortably	Q8_0	417,308 tokens	8.8 tok/s
DeepSeek-R1-Distill-Qwen-32B 32.8B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	611,676 tokens	16.5 tok/s
Qwen3-235B-A22B (MoE) 235B · GQA	Out of Memory (OOM)	Out of Memory (OOM)	Tight Fit (>90% Usable)	Q5_K_M	177,059 tokens	24.0 tok/s
Qwen3-30B-A3B (MoE) 30.5B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,048,576 tokens	90.2 tok/s
Qwen3-32B 32.8B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	611,676 tokens	16.5 tok/s
Qwen3-14B 14.8B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,047,285 tokens	32.8 tok/s
Qwen3-8B 8.2B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,048,576 tokens	48.1 tok/s
QwQ-32B (Reasoning) 32.8B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	611,676 tokens	16.5 tok/s
Qwen2.5-Coder-32B-Instruct 32.8B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	611,676 tokens	16.5 tok/s
Qwen2.5-72B-Instruct 72.7B · GQA	Requires sysctl wired_limit	Fits Comfortably	Fits Comfortably	Q8_0	413,306 tokens	8.6 tok/s
Llama 4 Maverick (400B / 17B-128E MoE) 402B · GQA	Out of Memory (OOM)	Out of Memory (OOM)	Out of Memory (OOM)	—	—	—
Llama 4 Scout (109B / 17B-16E MoE) 109B · HYBRID_SWA	Out of Memory (OOM)	Fits Comfortably	Fits Comfortably	Q8_0	573,553 tokens	35.6 tok/s
Llama 3.3 70B Instruct 70.6B · GQA	Requires sysctl wired_limit	Fits Comfortably	Fits Comfortably	Q8_0	417,308 tokens	8.8 tok/s
Llama 3.1 405B Instruct 405B · GQA	Out of Memory (OOM)	Out of Memory (OOM)	Out of Memory (OOM)	—	—	—
Llama 3.1 8B Instruct 8.03B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,048,576 tokens	51.4 tok/s
Gemma 3 27B IT (Multimodal) 27.4B · HYBRID_SWA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	322,342 tokens	23.9 tok/s
Gemma 3 12B IT (Multimodal) 12.2B · HYBRID_SWA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	440,497 tokens	47.7 tok/s
Mistral Small 3.1 (24B) 24B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,012,221 tokens	23.6 tok/s
Mistral Large 2411 (123B) 123B · GQA	Out of Memory (OOM)	Tight Fit (>90% Usable)	Fits Comfortably	Q6_K	288,593 tokens	5.5 tok/s
Codestral 22B 22.2B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	727,915 tokens	22.5 tok/s
Devstral Small (24B SWE Agent) 23.6B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,013,745 tokens	23.9 tok/s
GLM-4-32B-0414 32B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,048,576 tokens	22.0 tok/s
GLM-4-9B-0414 9.4B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,048,576 tokens	66.9 tok/s
Microsoft Phi-4 (14B) 14.7B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	838,132 tokens	30.2 tok/s
Microsoft Phi-4-mini-instruct (3.8B) 3.84B · GQA	Fits Comfortably	Fits Comfortably	Fits Comfortably	FP16 / BF16	1,048,576 tokens	71.1 tok/s
Cohere Command A (111B) 111B · HYBRID_SWA	Out of Memory (OOM)	Fits Comfortably	Fits Comfortably	Q8_0	425,400 tokens	6.7 tok/s