Highest performance

AI Servers

GPU-accelerated platforms purpose-built for artificial intelligence, generative AI and high performance computing.

AI Servers deployment

Accelerated

GPU-ready platforms

Multiple PCIe Gen5 GPU slots for training and inference.

Scalable

Node to rack

Start with one server and grow into a GPU cluster.

Efficient

Matched cooling

Power and cooling sized to rack power density.

Why AI Servers

Performance That Fits Your Business

Advanced processing power

Latest multi-core server CPUs paired with data center GPUs to speed up training, fine-tuning and inference.

Innovative cooling and power

High-efficiency redundant power supplies and cooling designed to run dense GPU nodes reliably.

Simple scalability

High-speed networking and flexible storage make it easy to expand from one node to a cluster.

Optimized for your workloads

Choose GPU count, memory and storage to match model size and user demand.

Use Cases

Where AI Servers Excel

Generative AI

Fine-tune and serve LLMs on-premises

Keep proprietary data in-house while delivering AI assistants to employees and customers.

Research & HPC

Simulation and scientific computing

Run compute-heavy research workloads with GPU acceleration.

Computer vision

Train vision models at scale

Process image and video datasets for inspection, safety and analytics.

Product Lineup

Shop AI Servers

ABS Advanced 2U Server
ABS

ABS Advanced 2U Server

AMD EPYC 9355P 32-core, 128GB, RAID6, NVIDIA RTX PRO 2000, redundant PSU

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ABS Optimized 2U HPC Server
ABS

ABS Optimized 2U HPC Server

2x AMD EPYC 9575F 64-core, 256GB RAM, 960GB SSD, NVIDIA T4

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ASUS RS720-E12 2U AI GPU Server
ASUS

ASUS RS720-E12 2U AI GPU Server

Dual Intel Xeon 6, 32x DDR5 ECC, 8x hot-swap bays

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Gigabyte R283-SF0 Rack Server
Gigabyte

Gigabyte R283-SF0 Rack Server

Dual Intel Xeon Scalable, 2U with 4x PCIe Gen5 GPUs

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Typical Configurations

Exact specifications vary by model and brand.

TierWorkloadsForm factorProcessorMax memoryGPU / accelerators
InferenceAI inference, fine-tuning, VDI2U rack1–2 server CPUsUp to 2 TBUp to 4 GPUs
TrainingModel training, GenAI, HPC4U rack2 server CPUsUp to 4 TBUp to 8 GPUs
ClusterLarge-scale training, multi-node HPCMulti-node rack2 CPUs per nodeUp to 4 TB per node8 GPUs per node

Ready to Deploy?

Buy online, or request a volume quote through Newegg Business.

Frequently Asked Questions

How many GPUs do I need?

It depends on model size and the number of concurrent users. Inference for mid-size models often fits on 2–4 GPUs; training larger models typically needs 8 GPUs per node or more.

Should I start with a server or a workstation?

Many teams prototype on an AI workstation and move to AI servers for production. Both use the same software stack.

What power and cooling do AI servers need?

Multi-GPU servers draw significantly more power than general-purpose servers. Check rack power and cooling capacity before deployment.