M3MonkeyT3chBack to Solutions

Recommended Starting Point

CPUAMD Threadripper PRO, up to 96 cores

GPUUp to 4x RTX PRO 6000 Blackwell

VRAMUp to 384 GB

MemoryUp to 1 TB DDR5 ECC

Configuration Choices

Graphics Card

Choose the GPU class and VRAM profile before finalizing the rest of the build.

NVIDIA RTX 5090Balanced single-card path for local inference and development.+$0NVIDIA RTX PRO 6000 BlackwellProfessional GPU profile for larger VRAM and longer service cycles.+$18,315NVIDIA H100 or H200 class GPUDatacenter accelerator option for larger training and batch inference.+$44,400

Memory

Match system RAM to total GPU VRAM, dataset size, and preprocessing work.

192 GB DDR5Good starting point for one-GPU local model work.+$0512 GB to 1 TB DDR5More host memory for data pipelines, preprocessing, and multi-GPU jobs.+$2,6831 TB DDR5Large host-memory profile for multi-GPU pipelines and heavier datasets.+$3,885

Operating System

Prepare the machine for CUDA, containers, notebooks, and local model tools.

Ubuntu AI stackLinux workstation image with common CUDA and container tooling.+$0Windows 11 ProDesktop path for mixed creative, engineering, and AI applications.+$376No operating systemFor teams that image machines through their own deployment process.+$0

Primary Storage

Keep the operating system, model weights, checkpoints, and active datasets on fast NVMe storage.

2 TB PCIe NVMe SSDFast starting point for the OS, tools, and model cache.+$04 TB PCIe NVMe SSDMore room for local datasets and active experiments.+$4248 TB PCIe NVMe SSDLarger local scratch space for checkpoints and project data.+$1,502

Additional SSD

Add a separate data drive when workloads need more local project storage.

Not includedUse the primary NVMe drive only.+$04 TB SATA SSDSeparate data volume for files that do not need top NVMe speed.+$1,46215.36 TB PCIe NVMe SSDLarge high-speed local storage for datasets and checkpoints.+$13,176

Network

Plan local network bandwidth around shared storage and remote access.

Integrated EthernetUse the base workstation network interface.+$010 Gb EthernetBetter fit for shared NAS and lab environments.+$34425 Gb EthernetHigher throughput for shared datasets and multi-user workflows.+$592

Warranty/Support

Choose the support window for the system lifecycle.

3 year limited warrantyBase service plan for the configured workstation.+$04 year limited warrantyLonger labor and replacement coverage.+$7515 year limited warrantyLongest support window for teams standardizing on one platform.+$1,145

Why this configuration path

Multi-GPU local LLM workstation with up to 384 GB VRAM.

Prepared for CUDA, PyTorch, TensorFlow, vLLM, and container workflows.

Designed for high GPU density without moving to a server room.