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Featured Multi-GPU Configurations
These are our most requested compute nodes, tested and ready for deployment. Please note that our standard 8-GPU servers include a 1Gbps network port with 10TB of data transfer. If you require higher throughput for massive datasets, network upgrades are available during checkout.
Almere
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Multi-GPU Servers by Architecture
NVIDIA A100 (2x, 4x, 8x)
The gold standard for AI training. Featuring high-bandwidth HBM2 memory, ECC, and Multi-Instance GPU (MIG) capabilities allowing you to partition a single card into up to seven separate instances.
NVIDIA A40 & RTX A6000
Offering 48GB of VRAM per card, these are the heavy lifters for visual computing, rendering, and large-scale data analytics where ECC reliability is required, but HBM memory isn't strictly necessary.
RTX 4090 & 5090
The undisputed kings of cost-per-VRAM performance. Ideal for smaller-scale fine-tuning, intensive 3D rendering, and local LLM inference.
RTX 3090
Our budget tier. When you need massive compute capacity and a lot of CUDA cores without the premium price tag of current-gen architecture.
L4 / A10 / A30
Highly efficient, single-slot cards optimized for AI inference, video transcoding, and serving models in production.
Primary Use Cases for Multi GPU Servers
LLM Fine-Tuning
Distribute massive datasets across 4x or 8x A100 nodes to train foundational models or fine-tune existing ones efficiently.
AI Inference and Serving
Deploy 2x or 4x RTX 4090 / L4 servers to handle high-concurrency API requests for your AI applications.
Image & Video Generation
Run Stable Diffusion or custom generative video workloads seamlessly across multi-GPU setups.
Rendering & VFX
Drastically reduce frame render times in Blender, Maya, or Octane using 8x A40 or A6000 nodes.
High-Performance Computing (HPC)
Tackle complex computational chemistry, fluid dynamics, and financial simulations.
GPU Models Detailed Comparison
| Specification | NVIDIA A100 | NVIDIA A40 | RTX A6000 | RTX 4090 | RTX 3090 |
|---|---|---|---|---|---|
| VRAM per Card | 40GB / 80GB | 48GB | 48GB | 24GB | 24GB |
| Memory Type | HBM2 / HBM2e | GDDR6 | GDDR6 | GDDR6X | GDDR6X |
| ECC Support | Yes | Yes | Yes | No | No |
| NVLink Support | Yes (Advanced) | Yes (2-Way) | Yes (2-Way) | No | Yes (2-Way) |
| Best Suited For | Heavy AI Training, LLMs | Visual Computing, Rendering | Pro-Workstation, Data Science | Budget Inference, 3D Rendering | Cost-Effective Compute |