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MiniMaxDense

MiniMax-01 RAM Calculator

For MiniMax-01, plan about 384GB system RAM at Q4_K_M / 8K context for this 456B dense frontier model (1M-token window). MiniMax-01 weights are available for local runtimes (llama.cpp / Ollama / vLLM class stacks) — buy kits you can fill with dual-channel DDR5 (or ECC RDIMM on true workstations).

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

Standard Recommendation

384GB RAM

Calculated for 4-bit (Q4_K_M) @ 8K Context

1. Workload

Inference sizes run-time memory. Training adds optimizer/activation headroom and steers toward ECC.

2. Hardware path

CPU + RAM offload path: full model weights reside in system RAM (llama.cpp / similar). Dual-channel DDR5 bandwidth is the speed bottleneck.

3. Quantization

GGUF-style bit widths for planning. Native FP4/FP8 trainer footprints can differ.

4. Context length

Grows KV cache (inference) or activation scratch (training ballpark).

8,192 tokens

Inference bandwidth snapshot

DDR4 ~45 GB/s

0.5 t/s

DDR5 ~96 GB/s

1.0 t/s

Unified ~300 GB/s

3.0 t/s

VRAM ~1008 GB/s

5.0 t/s

Host RAM target

384GB

Inference · CPU offload · Q4 K_M

384GB512GB
Model weights:256.5 GB
KV cache:1.12 GB
OS / runtime:8 GB
Host total:265.6 GB

Kit picks (384GB)

Disclosure: As an Amazon Associate I earn from qualifying purchases. Rankings use price and spec data only — not paid placement. How we rank products

NEMIX RAM 384GB (12X32GB) DDR4 3200MHz PC4-25600 2Rx4 1.2V CL22 288-PIN ECC RDIMM Registered Server Memory KIT

Registered ECC
$4473.89$11.65/GBIn stock

Registered ECC usually needs a workstation/server board — not typical AM5/LGA consumer boards.

Confirm motherboard QVL / max capacity per slot before buying.

DetailsBuy on Amazon →

NEMIX RAM 384GB (6X64GB) DDR5 4800MHz PC5-38400 2Rx4 1.1V CL40 288-PIN ECC RDIMM Registered Server Memory

Registered ECC
$12199.99$31.77/GBIn stock

Registered ECC usually needs a workstation/server board — not typical AM5/LGA consumer boards.

Confirm motherboard QVL / max capacity per slot before buying.

DetailsBuy on Amazon →

NEMIX RAM 384GB (6X64GB) DDR5 4800MHZ PC5-38400 2Rx4 1.1V CL40 288-PIN ECC RDIMM Registered Server Memory KIT Compatible with Dell Precision 7960 Rack/Tower Workstation

Registered ECC
$12199.99$31.77/GBIn stock

Registered ECC usually needs a workstation/server board — not typical AM5/LGA consumer boards.

Confirm motherboard QVL / max capacity per slot before buying.

DetailsBuy on Amazon →

NEMIX RAM 384GB (6X64GB) DDR5 4800MHZ PC5-38400 2Rx4 1.1V CL40 288-PIN ECC RDIMM Registered Server Memory KIT Compatible with ASUS 2U Dual-Socket Server Model RS720-E11-RS12U

Registered ECC
$12199.99$31.77/GBIn stock

Registered ECC usually needs a workstation/server board — not typical AM5/LGA consumer boards.

Confirm motherboard QVL / max capacity per slot before buying.

DetailsBuy on Amazon →
All 384GB prices →Check board fit in RAM Finder →

Why MiniMax-01 pressures system RAM

MiniMax-01 is a dense 456B network — every weight participates each token, so quantization choice dominates. Q4_K_M lands near ~256.5GB weights, plus ~1.12GB KV at 8K and ~8GB overhead (~265.6GB → 384GB kit). The 1M-token context ceiling is the sleeper cost: long-doc or agent traces inflate KV while the 456B slab stays fixed. Prefer dual-channel DDR5 bandwidth when CPU offload or mmap is involved.

What RAM kit to buy

Shop 384GB-class capacity for MiniMax-01: workstation DDR5 RDIMM/LRDIMM or multi-kit desktop builds, not a single gamer 2×16GB stick. Use our 128GB+ price hubs and RAM Finder; confirm ECC needs for your board. GPU path: Apple Mac Studio (192GB Unified Memory) or Institutional Node (8x H100 / A100) (268.5GB VRAM class) if you want weights on-device instead of system-RAM offload.

Workload notes

For MiniMax's MiniMax-01, treat published parameter counts as the weight floor and add OS + KV + runtime overhead before shopping kits. At 456B total parameters this is frontier-scale — expect multi-GPU or heavy CPU offload even in Q4; the 384GB kit is a host-memory floor, not a promise of interactive tokens/s. Release window noted as 2025/2026; always re-check the model card before buying hardware for a specific checkpoint.

Next steps:384GB RAM pricesDDR5 RAM pricesCapacity comparisonRAM Finder

Technical Specifications

Total Parameter Count456 Billion
Active Parameters Per TokenDense (All active)
Maximum Context Window1 Million tokens
Primary Framework SupportOllama, llama.cpp, ExLlamaV2, vLLM

GPU & VRAM Sizing Profile

Enterprise GPU Node / Mac Studio 192GB
Est. VRAM Required268.5 GB VRAM
Target GPU HardwareApple Mac Studio (192GB Unified Memory) or Institutional Node (8x H100 / A100)

Hardware Profile: Server-scale deployment. Running this model locally requires extreme unified memory Apple systems or professional multi-GPU servers.

MiniMax-01 Memory FAQs

How much RAM for MiniMax-01 at Q4 vs FP16?

At Q4_K_M with an 8K context we estimate ~384GB system kits for MiniMax-01 (weights ~256.5GB). FP16 jumps to roughly a 1024GB kit class and often wants 268.5GB-class VRAM instead of host RAM alone — use the on-page calculator to retarget context and quant.

Does MiniMax-01 need dual-channel RAM?

Yes for local inference. Dual-channel DDR4/DDR5 (or wide LPDDR/unified memory) keeps prompt eval and CPU offload from hitching. A single stick often halves bandwidth and feels like a slow model even when capacity looks sufficient.

What GPU tier fits MiniMax-01?

Enterprise GPU Node / Mac Studio 192GB: target about 268.5GB VRAM (Apple Mac Studio (192GB Unified Memory) or Institutional Node (8x H100 / A100)). Server-scale deployment. Running this model locally requires extreme unified memory Apple systems or professional multi-GPU servers.

Can I run MiniMax-01 with less than 384GB if I lower context?

Yes — shorter context shrinks KV (~1.12GB at 8K). Dropping to 2K–4K context can fit smaller kits, but keep OS headroom; paging kills tokens/s more than a slightly larger kit costs.

Same VRAM tier

Models that land in the same hardware profile (Enterprise GPU Node / Mac Studio 192GB) at Q4 / 8K context.

Qwen3 Coder 480B A35BMiniMax-M3 (428B MoE)Hermes 4 405BHermes 3 405B InstructLlama 4 Maverick (400B MoE)Qwen3.5 397B A17B

Related Models

MiniMax-M3 (428B MoE)MiniMax M2.1MiniMax M2Qwen3 Coder 480B A35BHermes 4 405BHermes 3 405B InstructLlama 4 Maverick (400B MoE)Qwen3.5 397B A17B