50+ AI Models
Ready-to-use models across LLM, image, speech, and multimodal workloads.
Enterprise AI Computing & Model Services Platform
Aether AI Cloud
Aether AI Cloud brings GPU compute, AI model deployment, training, inference, billing, and secure operations into one enterprise-ready platform.
Overview
Built for teams that need AI infrastructure ready to use
Flexible GPU Compute
Support for enterprise AI training and inference workloads with elastic resource planning.
Enterprise Controls
Multi-tenant workspace controls, RBAC, encryption, audit logging, and usage governance.
Capabilities
One platform from model access to production operations
Model as a Service
Access a marketplace of production-ready AI models through a unified API gateway with API key management and token metering.
AI Training
Run fine-tuning, distributed training, GPU-enabled notebooks, dataset workflows, and training job monitoring from one platform.
Elastic GPU Cloud
Schedule heterogeneous GPU resources for training and inference, with flexible allocation, auto scaling, and multi-tenant isolation.
Smart Usage Management
Track token, GPU, storage, and workspace usage with dashboards, cost analytics, alerts, and exportable reports.
Enterprise Security
Support multi-tenancy, RBAC access control, encryption, secrets management, audit logs, and license controls.
Monitoring & Support
Monitor model services, GPU resources, API usage, alerts, and platform health with 24 x 7 technical support options.
Model Ecosystem
Deploy common AI workloads without rebuilding the stack
Aether supports a broad model marketplace and model-serving stack, including popular inference engines for high-throughput enterprise deployments.
Large language modelsMultimodal AIImage generationSpeech recognitionOpen-source model servingCustom enterprise models
Commercial Model
Usage-based, quoted for your workload
Pricing is generally based on selected models, GPU resources, token usage, storage, service level, and deployment requirements. Detailed rates are not published here because every enterprise workload can vary significantly.
Contact Axcova for a suitable configuration, pilot plan, or custom quotation.
Engagement
From requirement review to managed deployment
- 01
Share your AI workload, model, security, and GPU requirements.
- 02
Axcova proposes the suitable cloud, GPU, model, and support configuration.
- 03
Deploy models, API access, billing controls, and operational monitoring.
- 04
Scale usage as demand grows, with support for optimization and governance.