Hardware Requirements

Overview

HashCloud is engineered to be GPU-friendly, cross-platform, and scalable, allowing participation from a broad spectrum of hardware configurations from standard consumer GPUs to enterprise-grade compute systems. This inclusivity ensures that both individual miners and institutional contributors can engage with the network efficiently, fostering decentralized distribution and hardware diversity.

By standardizing minimum and recommended requirements, HashCloud guarantees stable performance, verifiable computation, and fairness across all participants.

Minimum Requirements

These specifications represent the baseline configuration required to participate in the network and perform deterministic compute tasks effectively.

Component

Specification

GPU

GTX 1050 / RX 560 or equivalent

VRAM

4 GB

RAM

8 GB

OS

Windows, Linux, or macOS

CPU

Dual-core processor or higher

Purpose: Designed for entry-level miners who wish to participate in Proof-of-Compute validation without requiring specialized hardware. This tier aligns with Free or VIP1 staking levels and allows fair participation using consumer-grade GPUs.

For optimal performance and stable participation, the following configuration is recommended. This setup ensures consistent computation rates and minimizes task verification delays.

Component

Specification

GPU

RTX 3060 or higher

VRAM

12 GB

RAM

16 GB

Storage

Solid-State Drive (SSD)

OS

Linux or Windows (latest builds)

Purpose: This configuration represents the performance sweet spot powerful enough for efficient matrix operations while maintaining affordability. It aligns with VIP2 or VIP3 tiers and balances cost-efficiency with high throughput.

High-End Compute Tier

The high-end configuration supports enterprise-level compute capacity for advanced miners or compute pool operators seeking maximum efficiency and sustained workloads.

Component

Specification

GPU

RTX 4090 / NVIDIA A100 / AMD MI300

VRAM

24 GB or greater

OS

Linux or enterprise-grade operating system

RAM

32 GB or more (recommended for data-intensive tasks)

Purpose: This tier is intended for institutional-grade nodes or advanced miners operating in VIP4 and above tiers. These setups contribute significant compute power and help stabilize overall network performance, particularly during large-scale workload assignments.

Hardware Fairness Policy

HashCloud’s hardware framework is designed to prevent centralization and ensure that performance advantages remain bounded by VIP staking tiers rather than unlimited hardware scaling.

Key Safeguards

  • Tier Alignment: Each VIP level enforces specific GPU and VRAM limits (see Section 9: Hardware Tiering).

  • Verification via UUID & VRAM: The backend authenticates GPU identifiers to prevent spoofing or multi-instance abuse.

  • Normalized Scoring: Compute performance is normalized, ensuring that rewards scale proportionally rather than exponentially with hardware.

These measures guarantee a balanced mining environment where competitiveness is determined by both compute contribution and staking commitment.

Compatibility & Cross-Platform Support

HashCloud supports multiple environments to ensure broad accessibility:

  • Operating Systems: Windows, Linux, and macOS (for non-enterprise nodes).

  • Compute APIs: CUDA, ROCm, and OpenCL for cross-vendor GPU compatibility.

  • Network Efficiency: Optimized task distribution protocol minimizes bandwidth usage, enabling participation even from remote or lower-bandwidth regions.

By maintaining a hardware-agnostic framework, HashCloud lowers the barrier to entry while supporting high-performance scalability for professional operations.

Summary

Tier

Intended User

GPU Range

Alignment

Entry-Level

Hobby / New Miner

GTX 1050–RX 560

Free / VIP1

Mid-Tier

Regular Contributor

RTX 3060–4070

VIP2 / VIP3

High-End

Professional / Enterprise Node

RTX 4090–A100–MI300

VIP4+

This tiered requirement system reflects HashCloud’s philosophy of scalable fairness, ensuring that every GPU regardless of class can contribute productively to the network’s decentralized compute layer.

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