Name: RS-F1SG2042 RISC-V Server
Brand: Firefly
Availability: OutOfStock

RS-F1SG2042 RISC-V Server

$0.00

Taxes included. Shipping calculated at checkout.

ManualWikiDownload

Brand Firefly

Availability

Out of stock

RS-F1SG2042 RISC-V Server

Powered by a single high-performance RISC-V processor SG2042, equipped with 64 64-bit cores. It supports private deployment of mainstream AI large models and a variety of deep learning frameworks. It features 12 drive bays for 3.5-inch / 2.5-inch SAS / SATA hard drives and 2 Gigabit Ethernet ports. It comes with an intelligent management system and supports mainstream privacy computing technologies such as homomorphic encryption and differential privacy. The design adopts a standard 2U rackmount server chassis.

RISC-V Processor SG2042

Powered by a single high-performance RISC-V processor SG2042, equipped with 64 64-bit cores, delivering powerful performance to meet the demands of high-concurrency business scenarios.

Private Deployment

Supports private deployment of mainstream large language models (such as Gemma, Llama, Qwen, etc.), vision large models (such as EfficientVIT, SAM, TAM, etc.), and image generation models (such as Flux, Stable Diffusion, etc.).

Deep Learning Frameworks

Supports traditional network architectures such as CNN, RNN, and LSTM, as well as a variety of deep learning frameworks including TensorFlow, PyTorch, PaddlePaddle, ONNX, etc. It also supports custom operator development and Docker containerization management technology.

Ultra-Large Storage Capacity

Featuring 12 drive bays for 3.5-inch / 2.5-inch SAS / SATA hard drives, supporting SATA3.0 HDD / SSD expansion, allowing the device to easily scale up to TB-level ultra-large capacity, and supports hot-swapping for quick replacement.

Secure Network Communication

Equipped with dual 5G Ethernet ports, providing high-speed and stable network communication to meet the needs of different application scenarios. An independent MGMT management network interface separates the management network from the business network, ensuring the security and reliability of network communication.

Privacy Computing Technologies

Supports mainstream privacy computing technologies such as homomorphic encryption, differential privacy, and secure multi-party computation. Throughout the lifecycle of data usage and analysis, it achieves "data usable but invisible," providing comprehensive protection for data security and user privacy.

Standard 2U Rack Server Size

Features a standard 2U rackmount server chassis design for flexible deployment, fully compatible with most types of data center racks. It is equipped with four high-efficiency cooling fans and two 550W hot-swappable power supplies for easy maintenance.

Multiple Operating Systems

Supports operating systems such as Fedora, Ubuntu, openKylin, openEuler, and deepin, meeting the needs of various scenarios.

Open Source Instruction Set

Based on the international open-source RISC-V instruction set, there is no authorization restriction, and it supports mainstream operating systems, creating a truly open computing platform and making innovation ubiquitous.

Application Scenarios

Widely applicable in industry fields such as private deployment of large models, deep learning, cloud storage, ecosystem development, telecommunications, and privacy computing.

Large Model Localization

Deep Learning

Ecosystem Development

Privacy Computing

Cloud Storage

Operator

Interfaces

Specifications

RS-F1SG2042
Technical Specifications	Server form	2U rackmount computing server
	Architecture	RISC-V architecture
	PCIe expansion slots	4 × GEN4 X16 PCIe Slots, 4 × GEN4 X8 PCIe Slots
	Fan module	4 × Hot-swappable fans, supporting N+1 redundancy
Basic Specifications	CPU	1 × SG2042 64-core RISC-V processor @2.0GHz
	RAM	4 × DDR4 DIMM slots, supporting a maximum frequency of 3200MHz, maximum single module capacity of 64GB, and a maximum total memory capacity of 64×4=256GB
	Storage expansion	12 × 3.5"/2.5" SATA3.0 SSD drive bays (Hot-swappable; BMC enables direct hard drive operation, and computing nodes can access hard drives indirectly via the network sharing provided by BMC)
	Power	2 × 550W Hot-swappable power supplies, supporting 1+1 redundancy (Input: 100V AC ~ 240V AC)
	Dimension	481mm(L) × 677mm(W) × 88mm(H)
	Weight	Net server weight: 15kg, Gross weight with packaging: 17.2kg
	Environment	Operating Temperature: 0ºC ~ 35ºC, Storage Temperature: -40ºC ~ 60ºC, Operating Humidity: 5% ~ 80%RH (Non-condensing)
Software Specifications	BMC	Integrated BMC management system with web-based UI, supporting redfish, VNC, NTP, advanced monitoring and virtual media; the BMC management system supports secondary development
	Large language models	Supports on-premises deployment of ultra-large parameter models based on Transformer architecture, such as Deepseek- R1 Series, Gemma Series, Llama Series, ChatGLM Series, Qwen Series and other LLMs.
	Vision large models	Supports on-premises deployment of vision large models such as ViT, Grounding DINO, SAM.
	AI Painting	Supports on-premises deployment of image generation models including Flux, Stable Diffusion, Stable Diffusion XL.
	Deep learning	Supports traditional network architectures such as CNN, RNN, LSTM; compatible with multiple deep learning frameworks including TensorFlow, PyTorch, PaddlePaddle, ONNX, Caffe; supports custom operator development and Docker containerization management technology.
Interface Specifications	Ethernet	2 × 5Gbps Ethernet (RJ45), 1 × Gigabit Ethernet (RJ45, MGMT for BMC management network)
	Video output	2 × VGA (Maximum resolution 1080P, for BMC management display)
	USB	4 × USB3.0, 1 × Type-C (BMC debug serial port, built-in UART chip, baud rate 115200)
	Button	1 × Reset, 1 × UID, 1 × Power