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IN DEVELOPMENTCloud Compute Marketplace / Next.js 16 + Node.js + WebSockets

Nexa Core

Decentralized GPU Compute Marketplace, Multi-Role Vendor Onboarding & Real-Time WebSocket Telemetry

Role
Full-Stack & Telemetry
Timeline
Started 2025 (In Dev)
Frontend
Next.js 16 App Router
Backend & Stream
Node.js + WebSockets
Database
PostgreSQL
nexa-core.production.view
Dedicated Enterprise GPU Capacity Portal
Click to enlarge full view

Dedicated Enterprise GPU Capacity Portal

Contract-first reserved GPU infrastructure platform engineered for enterprise ML teams.

Verified Asset
Dynamic Multi-Role RBAC
Access Engine
WebSocket Real-Time
Live Telemetry
Vendor & Client Allocation
Marketplace
INTERACTIVE GPU MARKETPLACE & WEBSOCKET TELEMETRY (IN DEVELOPMENT)

Real-Time WebSocket Stream, Vendor Portal & Allocation Plans

Built on Next.js 16 + Node.js + WebSockets
ACTIVE DEVELOPMENT · STARTED 2025
STACK: Next.js 16 + Node.js + WebSockets

Nexa Core GPU Marketplace & WebSocket Telemetry Suite

Next.js 16

Decentralized GPU marketplace for hardware vendor onboarding, client compute allocations, dynamic multi-role RBAC, and sub-second real-time WebSocket telemetry streaming.

GPU Marketplace
H100, A100, 4090
WebSocket Stream
Sub-15msTelemetry
Access System
Dynamic RBAC
Backend Engine
Node.js + PostgreSQL
Interactive Platform Modules· Select View:
Active GPU Node Clusters (Select Node to Stream Telemetry):

Cluster 01 (US-East)

● Active Allocation

Workload: Llama-3.3-70B Fine-Tuning · Location: Ashburn, VA

VRAM: 640 GB
Rate: $24.8/hr
CUDA COMPUTE LOAD89%
Tensor Core Engine Active
VRAM ALLOCATION570 / 640 GB
High Bandwidth Memory (HBM3)
THERMAL STATUS68°C
Fan Speed: 72% · Liquid Cooled
POWER DRAW520 W
TDP Cap: 700W Peak
WebSocket Event Log (Node.js Stream)Heartbeat OK
[ws://telemetry.nexacore.io] > ACK heartbeat id=node-01-us load=89% temp=68C power=520W vram=570GB
[node-agent] > nvmlDeviceGetMemoryInfo() sync 8 GPUs in NVLink mesh · 0 errors

01.System Overview & The Engineering Challenge

Nexa Core is a decentralized GPU cloud computing and hardware marketplace started in 2025 and currently in active development. The platform allows hardware providers to register as vendors and monetize idle GPU clusters (H100, A100, RTX 4090), while AI startups and machine learning researchers can request customized GPU allocation plans, complete payments, and gain immediate secure access. The platform features dynamic multi-role access control, a Super Admin telemetry control plane, and real-time WebSocket streams delivering sub-second GPU metrics including VRAM utilization, temperature, power draw, and compute load.

Core Problem Statement:

Building a high-throughput GPU rental marketplace requires coordinating asynchronous hardware provisioning, multi-role security boundaries with dynamic access permissions, transaction-safe allocation agreements, and high-frequency WebSocket telemetry streams handling live hardware heartbeats without degrading database performance.

02.Ali's Specific Role & Deliverables

Ali is architecting the full-stack system using Next.js 16 for the client application and operator portal, Node.js for backend orchestration, PostgreSQL for multi-tenant state and allocation contracts, and WebSockets for real-time live GPU telemetry. He designed the vendor hardware listing portal, client allocation request workflow, dynamic multi-role permission system, and the live WebSocket hardware monitoring dashboard.

Key Technical Contributions:

Architecting the full-stack platform using Next.js 16 (App Router), Node.js backend services, PostgreSQL database, and WebSocket infrastructure.
Engineered multi-role system with dynamic role creation and fine-grained access policies (Super Admins, GPU Vendors, Clients, Billing Managers).
Built vendor onboarding and hardware listing portal allowing GPU providers to register rigs, set hourly/monthly rates, and monitor node earnings.
Developed client allocation request and payment workflow: plan customization (vCPUs, RAM, GPU count), automated payment reconciliation, and instant access provisioning.
Implemented real-time WebSocket telemetry engine broadcasting live GPU metrics (VRAM usage, temperature, power draw in Watts, compute load %) with sub-second latency.
Constructed Super Admin control plane for comprehensive cluster monitoring, vendor validation, allocation contract tracking, and platform health telemetry.

03.Architectural Highlights & Decisions

Dynamic Multi-Role RBAC & Access Matrix

Constructed flexible authorization layers supporting dynamic role generation, per-resource permission policies, and secure multi-tenant isolation across Super Admins, hardware vendors, and compute clients.

Real-Time WebSocket GPU Telemetry Engine

Engineered high-frequency WebSocket streaming pipelines broadcasting sub-second hardware metrics (VRAM utilization, thermal readings, power draw in Watts, and active container instances) from distributed vendor nodes.

Vendor Hardware Ingestion & Client Allocation Engine

Designed automated capacity scheduling connecting client compute requests with verified vendor GPU nodes, featuring automated billing reconciliation and instant SSH/API key issuance.

Super Admin Global Fleet Monitoring Control Plane

Built full-scale operations dashboards providing unified visibility across total active cluster FLOPS, vendor payout logs, allocation contract health, and infrastructure availability.

04.Technology Stack

Next.js 16Node.jsWebSocketsTypeScriptPostgreSQLTailwind CSSRedisDockerREST APIs