MiniMax M2.5 (229B-A10B) on H20 141GB HBM3e (141GB) — VRAM, KV Cache & Throughput
MiniMax M2.5 (229B-A10B) (228.69B total, 10B active, Sparse MoE + GQA) uses 128.84 GiB of 4-bit weights (Q4_K_M), requiring 131.34 GiB total at 8K context and 137.15 GiB at 32K on H20 141GB HBM3e (~206.8 tok/s decode).
Recommended Hardware for Current Configuration
Production Launch Commands
llama-server -hf unsloth/MiniMax-M2.5-GGUF:Q4_K_M \ --ctx-size 8192 -ngl 999 --flash-attn
vllm serve MiniMaxAI/MiniMax-M2.5 \ --max-model-len 8192 --gpu-memory-utilization 0.92
Cloud GPU Comparison & Rent-vs-Buy TCO
Verified public rates across RunPod, Vast.ai, Vultr, and DigitalOcean.
| Provider | Recommended Instance | Total VRAM | Hourly Rate | Monthly at Selected Hours | Billing Mode | Deploy |
|---|---|---|---|---|---|---|
| RunPod | 1x B200 180GB (Community Cloud) | 180 GB | $5.98 / hr | $727.17 / mo | Per-second | Deploy GPU ↗ |
| Vast.ai | 1x B200 180GB (Verified Host) | 180 GB | $7.50 / hr | $912.24 / mo | Spot / On-demand | Deploy GPU ↗ |
| Vultr ($300 Free Credit*) | 4x L40S 48GB (Dedicated Instance · $300 Credit*) | 192 GB | $6.68 / hr | $812.77 / mo | Hourly | Deploy GPU ↗ |
| Vultr Cloud GPU | 4x L40S 48GB (Dedicated Instance) | 192 GB | $6.68 / hr | $812.77 / mo | Hourly | Deploy GPU ↗ |
| DigitalOcean | 1x Instinct MI300X 192GB (Dedicated Instance) | 192 GB | $2.59 / hr | $314.94 / mo | Per-second | Deploy GPU ↗ |
Rates reflect public listings on the verification date and fluctuate with regional inventory.
Fine-Tuning VRAM Requirements (QLoRA / LoRA / Full) — MiniMax M2.5 (229B-A10B)
Engineering Sizing Notes & Optimization Playbook
Quick Hardware Verdict
H20 141GB HBM3e (141GB physical, 133.9 GiB usable) runs 4-bit (Q4_K_M) MiniMax M2.5 (229B-A10B) at 8K context using 131.34 GiB with 2.56 GiB of safe headroom (~206.8 tok/s single-stream decode).
KV Cache & Runtime Tuning
MiniMax M2.5 (229B-A10B) uses Sparse MoE + GQA (228.69B total, 10B active per token). Moving from 8K to 32K context expands FP16 KV cache from 1.94 GiB to 7.75 GiB; enabling 8-bit KV cache (llama.cpp -ctk q8_0 -ctv q8_0 or vLLM --kv-cache-dtype fp8) saves 3.87 GiB at 32K (reducing total VRAM to 133.28 GiB).
VRAM Scaling Across Context Windows (4K to 128K, 4-bit Weights)
Quantization Precision & Memory Matrix — MiniMax M2.5 (229B-A10B) @ 8K
| Quantization Format | Weights (GiB) | KV Cache | Total VRAM (GiB) | Decode Speed | Compatibility (H20 141GB HBM3e) | Recommended GPU | Data Source |
|---|---|---|---|---|---|---|---|
| Native Weights (BF16 / FP8 / MXFP4 — Lossless) (FP8) | 426.07 GiB | 1.94 GiB | 428.57 GiB (460.17 GB) | ~3.9 tok/s | Exceeds Available GPU Memory | Multi-GPU Required | Official checkpoint size |
| FP8 / GGUF Q8_0 (8-bit — Near-Lossless) (Q8_0) | 226.44 GiB | 1.94 GiB | 228.94 GiB (245.82 GB) | ~11.6 tok/s | Exceeds Available GPU Memory | Instinct MI325X 256GB (256GB) | Measured GGUF shard size |
| GGUF Q6_K (6-bit — High Precision) (Q6_K) | 174.87 GiB | 1.94 GiB | 177.37 GiB (190.45 GB) | ~25.3 tok/s | Exceeds Available GPU Memory | Instinct MI325X 256GB (256GB) | Measured GGUF shard size |
| GGUF Q5_K_M (5-bit — Balanced) (Q5_K_M) | 151.16 GiB | 1.94 GiB | 153.66 GiB (164.99 GB) | ~58 tok/s | Exceeds Available GPU Memory | Instinct MI300X 192GB (192GB) | Measured GGUF shard size |
| Q4_K_M / UD-Q4_K_XL / AWQ (4-bit — Recommended) (Q4_K_M) | 128.84 GiB | 1.94 GiB | 131.34 GiB (141.03 GB) | ~206.8 tok/s | Fits with Safe Headroom | Instinct MI300X 192GB (192GB) | Measured GGUF shard size |
| GGUF IQ4_XS (4.25-bit — Compact) (IQ4_XS) | 113.53 GiB | 1.94 GiB | 116.03 GiB (124.59 GB) | ~219.9 tok/s | Fits with Safe Headroom | Instinct MI300X 192GB (192GB) | Measured GGUF shard size |
| GGUF Q3_K_M (3-bit — Low VRAM) (Q3_K_M) | 101.77 GiB | 1.94 GiB | 104.27 GiB (111.96 GB) | ~231.2 tok/s | Fits with Safe Headroom | Instinct MI300X 192GB (192GB) | Measured GGUF shard size |
| GGUF UD-Q2_K_XL (2-bit — Extreme MoE) (UD-Q2_K_XL) | 80.02 GiB | 1.94 GiB | 82.52 GiB (88.61 GB) | ~255.3 tok/s | Fits with Safe Headroom | RTX PRO 6000 Blackwell (96GB) | Measured GGUF shard size |
Technical Specifications & FAQ
Does MiniMax M2.5 (229B-A10B) fit on H20 141GB HBM3e (141GB)?
In 4-bit (Q4_K_M) at 8,192 context, MiniMax M2.5 (229B-A10B) requires 131.34 GiB total GPU memory (128.84 GiB weights + 1.94 GiB KV cache + 0.56 GiB runtime buffers) against 133.9 GiB usable on H20 141GB HBM3e, delivering ~206.8 tok/s decode.
How much VRAM does MiniMax M2.5 (229B-A10B) need at 32K context?
At 32,768 context tokens, MiniMax M2.5 (229B-A10B) (Sparse MoE + GQA) allocates 7.75 GiB for KV cache and state, bringing total 4-bit VRAM to 137.15 GiB (147.26 GB decimal).