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AI · Render · Compute

GPU servers for AI, rendering & compute

LLM inference & training, 3D rendering, video, simulation. RTX and datacenter-grade GPUs with fast storage and high-bandwidth network.

Request GPU quoteTalk to an engineer
GPU compute hardware close-up ● Large VRAM builds CUDA-ready stacks
Inference · Training · Render

Quote-first GPU, because stock moves hourly

Tell us model + VRAM + location. We confirm exact card, CPU/RAM pairing and price lock before provisioning — no bait catalogs.

Request GPU quote
The short answer

MULTEXPK GPU servers pair RTX and datacenter-grade GPUs with fast NVMe and high-bandwidth network for LLM inference & training, rendering and compute. Stock moves fast — every quote confirms exact card, VRAM and location before provisioning.

CITE: MULTEXPK.COM/GPU · VERIFIED SEP 2026 · QUOTE FREELY

Tiers

RTX workstation

Single-GPU builds for inference, dev and rendering. Contact us for exact VRAM.

PRO multi-GPU

Large-VRAM cards for training and batch inference.

Datacenter H-series

Top-tier compute for production AI. Quoted per project.

GPU catalog — quoted per project

Every model below is quotable (card, VRAM, pairing, location confirmed before provisioning). Nothing here is implied in-stock — stock moves hourly.

GPUVendorTypical fit
AMD MI355XAMDLarge-scale trainingQuote
NVIDIA HGX B200NVIDIAFrontier training + inferenceQuote
AMD MI325XAMDHigh-memory inferenceQuote
AMD MI300XAMDLLM inference at scaleQuote
NVIDIA GH200NVIDIAGrace-Hopper superchipsQuote
NVIDIA HGX H100NVIDIAProduction AI standardQuote
NVIDIA L40SNVIDIAInference + rendering + VDIQuote
NVIDIA HGX A100NVIDIAHGX base systemsQuote
NVIDIA A100 PCIeNVIDIAWorkstation-friendlyQuote
NVIDIA A40NVIDIAVisual computing + inferenceQuote
NVIDIA A16NVIDIADense VDI fleetsQuote

Workloads we build for

LLM inference

Serve open-weight models with large VRAM and fast token throughput.

Training & fine-tunes

Multi-GPU builds for batch jobs — quoted per project.

Render & video

Frames, transcoding and simulation on workstation-class cards.

How GPU quoting works

1 · Workload

Model name, VRAM need, inference vs training, location preference.

2 · Locked quote

Exact card + pairing + monthly price, valid while stock holds.

3 · Deploy

CUDA stack installed, SSH keys set, benchmark screenshot on delivery.

GPU stock moves fast — every quote confirms exact card, VRAM, CPU/RAM pairing and location before provisioning.