Marketplace is now Available on Bridge with Suite of New Partners
New partners help GPU operators move beyond raw infrastructure and deliver production-ready AI services across optimization, agentic AI, computer vision, data governance, and model security.
Armada today made Marketplace available on Bridge, and introduced an initial cohort of validated software vendors to help GPU operators turn raw infrastructure into production-ready AI services.
As AI moves from experimentation to deployment, the bottleneck is no longer access to models or GPUs alone. It is the operational layer around them: orchestration, optimization, security, governance, data management, and application integration.
Bridge already provides the multi-tenant GPU-as-a-Service foundation. The expansion of Armada’s Marketplace adds the validated software layer, helping neoclouds, sovereign clouds, telcos, and enterprise AI teams move faster from GPU capacity to usable AI capability and generate more revenue per GPU.
AI builders and data science teams still spend too much time getting ready for AI instead of the work of building it. Teams are evaluating tools, configuring environments, debugging integrations, and stitching together systems before they can focus on inference, fine tuning, pruning, quantization, distillation, RAG, agentic workflows, multimodal models, computer vision pipelines, and other production workloads.
That friction becomes even more expensive as AI moves into real-world environments where latency, bandwidth limits, data gravity, compliance, and distributed operations all matter. Teams do not want to rebuild the stack every time they deploy. They want software that works with the infrastructure from day one. The expansion of Marketplace is designed to remove that tax. The opportunity for neoclouds, sovereign clouds, telcos, and enterprise AI infrastructure providers is increasingly clear: the margin is not only in selling GPU capacity. It is turning that capacity into services customers can actually use. Operators that offer tenants a pre-validated, ready-to-use AI software stack can deliver more value than those offering undifferentiated compute alone.
Initial Partners
The first independent software vendors signing on to service Bridge clients are as follows:
| Company | Category | Description |
|---|---|---|
| ClearML | GPU Optimization | An open-source, full-stack AI infrastructure platform spanning GPU cluster management, AI workbench, pipeline orchestration, and LLM deployment. ClearML's multi-tenancy, RBAC, and billing features complement Bridge's infrastructure layer, making it a natural pairing for operators offering end-to-end AI factory services. |
| Katonic | Agentic Platforms | Katonic is the sovereign AI factory platform. Enterprises use it to deploy governed AI on their own infrastructure. Service providers use it to launch white-label, multi-tenant sovereign AI services. Already proven at MODON's AI Center of Excellence (Saudi Arabia) and Pilipinas AI (ePLDT's national sovereign AI, 115M served, live in 90 days). Full-stack agents, Brain, Body, and Guardrails, with 2,600+ models, 80+ pre-built agents, and zero data egress. |
| LinkerVision | Computer Vision | Linker Vision is an AI platform company advancing Physical AI and Reasoning AI for smart cities and smart spaces. Its Video Reasoning platform uses Vision-Language Models (VLMs) to turn video streams into actionable insights for traffic, infrastructure, industrial operations, and public safety. Within an AI Grid framework, it enables GPU operators to deliver applications such as traffic analytics and public safety monitoring, turning infrastructure into revenue-generating services. |
| LTM BlueVerse | Agentic Platforms | LTM's full-stack agentic AI platform for enterprise, combining a no-code/pro-code AI Foundry with a governance framework that embeds compliance and business rules directly into agent behavior. Deep integrations with SAP, Salesforce, and ServiceNow, backed by a global consultancy. |
| Multiverse Computing | Model Optimization | Multiverse Computing's CompactifAI is an enterprise-grade LLM compression platform that reduces model size by 40-80% — with less than 3% accuracy degradation and no retraining required. CompactifAI dramatically improves inference throughput, slashes cost-per-token and power draw, enabling GPU cloud operators to run more concurrent model instances per node, offer premium compressed-model tiers as a managed service, and unlock new per-token revenue streams, all without adding hardware. |
| PrimaLabs | Model Optimization | Intelligent layer for AI infra that optimizes GPU throughput, latency, and power. PrimaLabs unlocks the equivalent of one additional rack for every five deployed; pure margin, maximized utilization. |
| PipeShift | Model Optimization | A Y Combinator-backed inference platform whose proprietary MAGIC framework optimizes AI workloads in real time across latency, throughput, and cost dimensions. PipeShift makes open-source LLM deployment production-ready, enabling neoclouds to offer model-as-a-service to their tenants. |
| SecurIn | Model Security | Comprehensive AI security covering model risk, agentic attack surfaces, and policy risk. Securin's AI Nutrition Labels are security report cards for every model in Armada's catalog. They score resilience to jailbreaks, harmful outputs and compliance violations, in a format that CISOs, regulators, and developers can all act on at the moment they choose what to deploy. |
| Secuvy | Data Management | Secuvy is an AI-native platform for data security, privacy, and AI governance, purpose-built for data locality and sovereignty. Secuvy continuously discovers, classifies, and governs sensitive data across centralized and distributed clouds, all the way to the edge, via support for on-premises deployments. With AI- and ML-powered filtering, Secuvy ensures only policy-approved data flows into AI training and inference workflows, improving efficiency, reducing costs, and maintaining compliance. |
Each founding partner has been tested with Bridge so customers can deploy validated software on top of their GPU infrastructure with greater speed and confidence. For builders, that means faster access to the tools needed to build, deploy, secure, and optimize AI workloads. For GPU operators, it creates a path to higher-value services that go beyond bare-metal GPU access.
Bridge already solves the infrastructure layer by turning any GPU cluster into a managed, multi-tenant GPU-as-a-Service platform with cloud-like orchestration, billing, infrastructure services, platform services, select first-party AI services, and scale. In practice, this means GPU clusters can support everything from large-scale model serving and multimodal inference to retrieval pipelines and agentic workflows.
The expansion of Marketplace to encompass Bridge addresses the software layer above it, with hands-on integration validation across an initial set of founding partners spanning six categories: GPU optimization, model optimization, agentic platforms, computer vision, model security, and data management.
Bridge can be used with GPUs hosted in Armada’s Galleon modular data centers or in brick-and-mortar data centers. Armada offers customers pre-validated reference architectures based on Bridge and Galleon that utilize NVIDIA RTX 6000 Pro, H200, B200, B300, GB200, and GB300 GPUs.
For GPU operators and AI teams ready to explore, visit armada.ai/product/bridge or contact your Armada account team.
Bridge by Armada is a GPU-as-a-Service platform for neoclouds, sovereign clouds, and enterprise AI factories. Free 14-day trial available at armada.ai/product/bridge.
