HARDWARE BENCHMARK & VRAM ENVELOPE โข APPLE SILICON WORKSTATION144 GB VRAM โข 800 GB/s
What Models Can Run on Apple Mac Studio M2 Ultra (192GB Unified Memory)?
144 GB VRAM800 GB/s Bandwidth120W TDPMSRP: $6,999Cloud: $2.1/hr on RunPod
Apple Mac Studio M2 Ultra (192GB Unified Memory) provides 144 GB of usable memory with 800 GB/s memory bandwidth at 120W TDP. Silent 144GB usable unified VRAM running 70B FP16 & 405B Q3.
โ FITS IN VRAM21.93 GB (15%)~30 t/s
Qwen 3.8 27B Instruct on Apple Mac Studio M2 Ultra (192GB Unified Memory)
โ Fits Comfortably in VRAM
โ FITS IN VRAM
Required VRAM
21.93 GB
15% of hardware capacity (144 GB)Est. Decode Speed
~30 tok/s
Dense model @ 800 GB/sAvailable Headroom
+122.07 GB
Safe for OS display & full contextMemory Allocation & Headroom
21.93 GB allocated of 144 GB capacity
15% utilized
Weights: 16.32 GB
KV: (32K): 4.29 GB
Overhead: 1.32 GB
Free Headroom: +122.07 GB
โก Architecture & Throughput Transparency: Single-user decode speed (~30 tok/s) is memory-bandwidth bound at batch size = 1 on Apple Mac Studio M2 Ultra (192GB Unified Memory) (800 GB/s). Prompt prefill / TTFT (~435 tok/s) is compute-bound and utilizes GPU Tensor cores. Actual latency varies with FlashAttention-2 and runtime engine (Ollama/vLLM/llama.cpp).
OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run qwen3.8:27bCloud Instance Options for Qwen 3.8 27B Instruct
On-DemandDeploy this model on an on-demand cloud GPU without local hardware constraints or power usage:
RunPod Cloud GPUsBest 1-Click Ollama & vLLM
$0.34/hr (RTX 4070 Ti) โ $2.39/hr (H100)Vast.ai GPU MarketplaceCheapest Dual RTX 3090 / 4090
$0.18/hr (RTX 3060) โ $0.55/hr (RTX 4090)Lambda GPU CloudEnterprise 8x H100 Clusters
$1.99/hr (GH200 / H100)Quantization Precision Matrix
32K ctx โข KV: Q8_0| Quantization | Weights | KV Cache | Total VRAM | Est. Speed | Fit Status |
|---|---|---|---|---|---|
| FP1616 bpw | 54.4 GB | 4.29 GB | 61.34 GB (43%) | ~9 t/s | FITS |
| Q8_08.5 bpw | 28.83 GB | 4.29 GB | 34.88 GB (24%) | ~17 t/s | FITS |
| Q6_K6.56 bpw | 22.3 GB | 4.29 GB | 28.12 GB (20%) | ~22 t/s | FITS |
| Q5_K_M5.68 bpw | 19.31 GB | 4.29 GB | 25.03 GB (17%) | ~26 t/s | FITS |
| Q4_K_M4.8 bpw | 16.32 GB | 4.29 GB | 21.93 GB (15%) | ~30 t/s | FITS |
| FP44.25 bpw | 14.42 GB | 4.29 GB | 19.96 GB (14%) | ~34 t/s | FITS |
| IQ3_XS3.3 bpw | 11.15 GB | 4.29 GB | 16.58 GB (12%) | ~43 t/s | FITS |
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All Open-Weights Models Tested on Apple Mac Studio M2 Ultra (192GB Unified Memory) (Q4_K_M @ 32K Context)
Standard Q4_K_M precision with 32K context window and Q8_0 KV cache
| Model | Architecture | Total VRAM Needed | Headroom | Est. Decode Speed | Compatibility | Detailed Config |
|---|---|---|---|---|---|---|
| Qwen 3.8 27B Instruct Alibaba Cloud | 27.2B Dense | 21.93 GB(15%) | +122.07 GB | ~30 tok/s | โ FITS | Configure CLI โ |
| Qwen 3.6 35B-A3B MoE Alibaba Cloud | 35B MoE | 24.1 GB(17%) | +119.9 GB | ~236 tok/s | โ FITS | Configure CLI โ |
| DeepSeek-V4.1-Flash (552B Engram MoE) DeepSeek | 552B MoE | 345.59 GB(240%) | -201.59 GB | 0 (OOM) | โ OOM | Configure CLI โ |
| Meta Muse Spark Open (816B-A42B MoE) Meta AI | 816B MoE | 512.86 GB(356%) | -368.86 GB | 0 (OOM) | โ OOM | Configure CLI โ |
| Google Gemma 4 26B MoE Google | 26.4B MoE | 20.23 GB(14%) | +123.77 GB | ~158 tok/s | โ FITS | Configure CLI โ |
| Google Gemma 4 E4B (Edge 4B) Google | 4.1B Dense | 4.24 GB(3%) | +139.76 GB | ~193 tok/s | โ FITS | Configure CLI โ |
| DeepSeek-R1 Distill Qwen 32B DeepSeek | 32.8B Dense | 25.41 GB(18%) | +118.59 GB | ~25 tok/s | โ FITS | Configure CLI โ |
| DeepSeek-R1 Distill Qwen 14B DeepSeek | 14.8B Dense | 13.16 GB(9%) | +130.84 GB | ~54 tok/s | โ FITS | Configure CLI โ |
| Meta Llama 4 Scout (109B-A17B MoE) Meta AI | 109B MoE | 71.66 GB(50%) | +72.34 GB | ~47 tok/s | โ FITS | Configure CLI โ |
| Meta Llama 3.3 70B Instruct Meta AI | 70.6B Dense | 49.96 GB(35%) | +94.04 GB | ~12 tok/s | โ FITS | Configure CLI โ |
| Meta Llama 3.1 8B Instruct Meta AI | 8B Dense | 7.87 GB(5%) | +136.13 GB | ~97 tok/s | โ FITS | Configure CLI โ |
| Microsoft Phi-4 Mini 3.8B Microsoft | 3.8B Dense | 3.92 GB(3%) | +140.08 GB | ~209 tok/s | โ FITS | Configure CLI โ |
| Qwen 2.5 Coder 32B Instruct Alibaba Cloud | 32.5B Dense | 25.22 GB(18%) | +118.78 GB | ~25 tok/s | โ FITS | Configure CLI โ |
| DeepSeek Coder V2 236B MoE DeepSeek | 236B MoE | 151.34 GB(105%) | -7.34 GB | ~11 tok/s | โก PARTIAL | Configure CLI โ |
| Meta Llama 3.1 405B Instruct Meta AI | 405B Dense | 260.72 GB(181%) | -116.72 GB | 0 (OOM) | โ OOM | Configure CLI โ |
| Mistral Large 2 (123B Instruct) Mistral AI | 123B Dense | 83.04 GB(58%) | +60.96 GB | ~7 tok/s | โ FITS | Configure CLI โ |
| Google Gemma 2 27B Instruct Google | 27.2B Dense | 23.81 GB(17%) | +120.19 GB | ~30 tok/s | โ FITS | Configure CLI โ |
| Google Gemma 2 9B Instruct Google | 9.2B Dense | 12.1 GB(8%) | +131.9 GB | ~80 tok/s | โ FITS | Configure CLI โ |