MAI DS R1 — Hardware Requirements & GPU Compatibility
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MAI DS R1 is a 671.0B-parameter open language model from Microsoft. It supports a context window of up to 163,840 tokens. At BF16 it needs about 1345.93 GB of VRAM — see which GPUs and Macs can run it below.
181 downloads
296 likesSpecifications
- Publisher
- Microsoft
- Parameters
- 671.0B
- Architecture
- DeepseekV3ForCausalLM
- Context Length
- 163,840 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2025-12-15
- License
- MIT
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HuggingFace
How Much VRAM Does MAI DS R1 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 1345.9 GB | 1628.9 GB | 1342.05 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run MAI DS R1?
BF16 · 1345.9 GBMAI DS R1 (BF16) requires 1345.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1750+ GB is recommended. Using the full 164K context window can add up to 283.0 GB, bringing total usage to 1628.9 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
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Frequently Asked Questions
- How much VRAM does MAI DS R1 need?
MAI DS R1 requires 1345.9 GB of VRAM at BF16. Full 164K context adds up to 283.0 GB (1628.9 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 671.0B × 16 bits ÷ 8 = 1342.1 GB
KV Cache + Overhead ≈ 3.8 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 286.8 GB (at full 164K context)
VRAM usage by quantization
BF161345.9 GBBF16 + full context1628.9 GB- Can NVIDIA GeForce RTX 5090 run MAI DS R1?
No — MAI DS R1 requires at least 1345.9 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run MAI DS R1 on a Mac?
MAI DS R1 requires at least 1345.9 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run MAI DS R1 locally?
Yes — MAI DS R1 can run locally on consumer hardware. At BF16 quantization it needs 1345.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of MAI DS R1?
At BF16, the download is about 1342.05 GB.
- Which GPUs can run MAI DS R1?
No single consumer GPU has enough VRAM to run MAI DS R1 at BF16 (1345.9 GB). Multi-GPU or professional hardware is required.
- Which devices can run MAI DS R1?
MAI DS R1 requires at least 1345.9 GB at BF16, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.