OpenCompute
Hardware advisory for every deployment.
EasyBrain specifies and validates the right compute infrastructure for your needs — from desktop workstations to dedicated servers.
Hardware tiers
| Tier | Example Systems | Ideal For | Description |
|---|---|---|---|
| High-End Mini PCs | NVIDIA RTX 5090 · Apple Mac Mini M4 Pro · AMD Ryzen AI Max+ 395 | Individual power users | Compact, efficient systems for models up to ~35B parameters. 32–48 GB memory at 256–1,792 GB/s. |
| Performance Desktops | NVIDIA DGX Spark GB10 / RTX PRO 6000 · Apple Mac Studio M4 Max · AMD Ryzen AI Max+ 395 (96 GB) | SME offices, team-level | High-bandwidth unified or discrete memory (96–128 GB) for 100–125B class models. |
| Professional Workstations | NVIDIA DGX Station GB300 · Apple Mac Studio M3 Ultra (256–512 GB) · AMD Threadripper Pro + Radeon Pro W7900 | High-throughput inference | Frontier-class hardware for MoE and dense models from 200B to 1T+ parameters. 256–784 GB memory. |
Model capacity tiers
Match your hardware to the model tier your organisation needs.
| Tier | VRAM Required | Supported Models |
|---|---|---|
| Pro | > 128 GB | Kimi K2.5 1T · Qwen 3 Max 1T · DeepSeek V3.2 671B · Llama 4 Maverick 400B · Qwen 3.5 397B · MiniMax M2.5 230B |
| Air | 64–128 GB | GLM 4.5 Air 106B · Qwen 3.5 122B · GPT-OSS 120B · Devstral 2 123B · Command-A 111B |
| Flash | ≤ 48 GB | Qwen 3.5 35B · GLM-4.7-Flash 30B · Mistral-Small-3.2 24B · Devstral-Small-2 24B · Codestral 22B |
Important: EasyBrain does not sell or stock hardware. Customers procure hardware directly from their preferred supplier. EasyBrain provides a signed-off Bill of Materials and procurement guide as part of every engagement.
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Every EasyBrain engagement includes a hardware assessment and a signed-off Bill of Materials tailored to your use case.
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