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Nexus Compute

Nexus Compute L4 24-GPU Scale-Out Inference & Video Server

Twenty-four 72W L4 GPUs for power-efficient inference at scale.

Full manufacturer warrantyAuthorized channel48-hour quote

We help you choose, configure, and deliver the right system — no obligation.

Nexus Compute L4 24-GPU Scale-Out Inference & Video Server — Nexus Compute enterprise hardware
Nexus Compute L4 24-GPU Scale-Out Inference & Video Server hardware detail 1
Nexus Compute L4 24-GPU Scale-Out Inference & Video Server hardware detail 2
Nexus Compute L4 24-GPU Scale-Out Inference & Video Server hardware detail 3

Configuration at a Glance

GPUUp to 24x NVIDIA L4 24GB GDDR6 (72W, single-slot)
GPU InterconnectPCIe Gen4 x16 across multiple root complexes
CPUDual AMD EPYC or Intel Xeon
MemoryUp to 3TB DDR5 ECC

Tailored per engagement. Full technical overview below.

Configuration Options

Core specifications for this system. Every component is configurable to your workload — request a quote for a tailored build.

GPU / Accelerator

Up to 24x NVIDIA L4 24GB GDDR6 (72W, single-slot)

Processor

Dual AMD EPYC or Intel Xeon

Memory

Up to 3TB DDR5 ECC

Storage

Hot-swap NVMe (configurable capacity)

Overview

This 2U platform packs up to 24 single-slot NVIDIA L4 24GB GPUs to maximize parallel inference and video throughput per rack-unit at low power. Nexus Compute specifies, assembles, and tests the system around the target serving stack and delivers it warranty-backed through authorized channels.

Who This Solution Is For

Inference platforms maximizing requests per watt
Video AI and streaming transcoding services
Edge and colocation deployments with power limits
Teams running many lightweight concurrent models

Business Benefits

Best inference per watt

At 72W each, L4 GPUs deliver high aggregate FP8 throughput within constrained power and cooling envelopes.

Massive request parallelism

Up to 24 independent accelerators serve large numbers of concurrent small-model and video streams.

Deploys anywhere

Single-slot passive cards fit standard infrastructure without specialized cooling, easing edge and colo rollout.

Typical Business Use Cases

1

High-concurrency small-model inference

2

AI video encode, decode, and analytics

3

Speech, vision, and embedding microservices

4

Power-constrained edge inference nodes

Industry Applications

AI & Machine LearningTelecomMedia & EntertainmentSaaS & Software

Technical Overview

A 2U dual-socket AMD EPYC or Intel Xeon platform provisioned with up to 24 NVIDIA L4 GPUs over PCIe Gen4 x16 across multiple host bridges. The L4's Ada Lovelace architecture provides native FP8 and integrated NVENC/NVDEC for combined inference and video pipelines.

GPUUp to 24x NVIDIA L4 24GB GDDR6 (72W, single-slot)
GPU InterconnectPCIe Gen4 x16 across multiple root complexes
CPUDual AMD EPYC or Intel Xeon
MemoryUp to 3TB DDR5 ECC
StorageHot-swap NVMe (configurable capacity)
NetworkingDual 25/100GbE; OCP 3.0
Form Factor2U rackmount
PowerRedundant N+1 PSUs

Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.

Warranty, Support & Fulfillment

Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need — backed by warranty and a dedicated account team.

Enterprise Warranty

Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.

Authorized Channel

Sourced through Tier-1 distribution and OEM partners — never grey market. Asset & warranty records included.

Lead Time & Deployment

48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.

Nationwide Fulfillment

Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.

Frequently Asked Questions

When should I choose L4 over L40S for inference?

The L4 wins for high-concurrency small models, video pipelines, and power-limited sites where throughput-per-watt matters most; the L40S is better for larger models and graphics. We map your workload to the right card.

Does 24GB per GPU limit which models I can serve?

It suits small to mid-size and quantized models served per-GPU; very large models are better placed on higher-memory accelerators. We confirm per-GPU model fit during sizing.

Can this server handle video transcoding as well as AI?

Yes. Each L4 includes dedicated NVENC/NVDEC engines, so the node can combine AI inference with high-density video encode and decode in one deployment.

Hardware Assistance

Configure the Nexus Compute L4 24-GPU Scale-Out Inference & Video Server with Nexus Compute

Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system — typically within two business days. No obligation.