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Furiosa NXT RNGD Server

The most power efficient data center appliance for agentic systems

Name: Furiosa NXT RNGD Server
Brand: FuriosaAI
Availability: InStock
Rating: 5 (1 reviews)

Furiosa NXT RNGD Server

Most data centers have more demand for AI than power to run it. Furiosa NXT RNGD Server adds performant AI capability without a new facility or a new cooling system.

Peak FP8

4 petaFLOPS

Memory

384 GB HBM3

memory BANDWIDTH

12 TB/s

power

3 kW

Furiosa NXT RNGD AI server system featuring multiple red accelerator modules installed in a high-performance rack chassis.

Specifications

Accelerators

8× RNGD Tensor Contraction Processors (TCP)

Accelerator memory

384 GB HBM3 total, 12 TB/s

Performance

4,096 TFLOPS FP8
2,048 TFLOPS BF16
4,096 TOPS INT8
8,192 TOPS INT4

System Power

3,000 W

CPU

2 × AMD EPYC 9354 (Genoa), 64 cores total, 3.25 GHz base / 3.75 GHz boost

System Memory

1 TB DDR5

Networking

2 × 25 GbE dual-port NIC (configurable)

Storage

OS: 960 GB NVMe M.2
Data: 2 × 3.84 TB NVMe U.2

Ubuntu 24.04 LTS

Software

Furiosa SDK

Form Factor

4U rackmount, air-cooled

Customer Stories

Five EXAONE Generations, One Validated Path: at ~2.3× the Power Efficiency of A100

power efficiency vs. A100

2.3×

EXAONE generations validated

5

issue-to-fix response cycle

<24h

Running a domestic foundation model entirely on foreign GPUs leaves the supply chain only half domestic — and for an always-on service, that dependency compounds in power and floor cost every day it stays in production.

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Serving a 100B-Class Model at 128K Context: Production Traffic on One of Korea's Largest Portals

AI — Foundation Models

Korea's First Commercial NPUaaS: From Infrastructure Validation to Production in 10 Months

CSP & IT Services

"Furiosa RNGD provides a compelling combination of benefits: excellent real-world performance, a dramatic reduction in our total cost of ownership, and a surprisingly straightforward integration.”

Kijeong Jeon, Product Unit Lead

"The combination of flexgrid.cloud’s modular infrastructure and FuriosaAI’s RNGD allows us to offer the last mile of high-performance AI compute where businesses need it most. This isn't just a performance win; it’s the blueprint for the future of Sovereign AI."

Sami Kibria, flexgrid.cloud

Built for every layer of the stack

Whether you develop frontier models, operate cloud infrastructure, or build vertical AI applications, Furiosa integrates natively into your operational architecture to deliver sustainable inference economics.

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Foundation Model Provider

Co-optimize quantization and compiler graph execution with our engineering team to deliver sustained model serving across expansive context windows.

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Cloud Service Provider

Cloud Service Provider (CSP)

We help regional cloud providers and data center operators expand AI cloud capacity and maximize compute density per megawatt using standard 180W air cooling.

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Enterprise & Sovereign AI

Keep your proprietary models and inference strictly behind your corporate firewall. We work with financial, industrial, and public institutions to deploy AI.

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AI Application ISVs

Scale your active user base. Deliver real-time agents, search summarization, and RAG at a lower TCO while protecting SLO.

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Neoclouds

Diversify your compute catalog beyond GPU allocations. We integrate RNGD into your virtualized infrastructure.

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MLOps/LLMOps Platforms

Accelerate your customers' models without altering their orchestrators. RNGD integrates seamlessly into existing Kubernetes clusters and serving pipelines.

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Furiosa RNGD PCIe

Powerfully efficient 180W PCIe inference

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Start Your RNGD Evaluation

Test RNGD against your own production SLOs. Get bare-metal access to validate your full stack on real hardware, or an OpenAI-compatible API endpoint to validate your application with nothing to install. Available worldwide.

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Bare metal

Run end-to-end applications on a dedicated NXT RNGD Server and measure throughput, latency and power at the wall under your real user patterns.

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API endpoint

Point your application at an OpenAI-compatible endpoint and validate output quality, latency and compatibility with the code you already have.

PARTNERS

Forwarding this to an engineer?

Furiosa Docs covers the full workflow, from PyTorch model through quantization to serving and deployment.

Blog

White Paper: Benchmarking RNGD on Backend.AI for 1.3–1.5x greater efficiency in enterprise AI inference

Technical Updates

FuriosaAI and Samsung SDS Launch Korea’s First Domestic NPUaaS to Expand Enterprise AI Access

News

LG U+ and FuriosaAI unveil the Sovereign AI Appliance

News