Why FusionFlow?
Key Features
- Launch GPU-backed JupyterLab environments in seconds.
- Preconfigured with TensorFlow, PyTorch, and Hugging Face transformers.
- Ideal for fast prototyping and training on real hardware.
- Provision dedicated, high-performance bare-metal servers for AI training or HPC.
- Full root access + zero virtualization = maximum performance.
- Auto-integrated with your FusionFlow project for logging and monitoring.
- Native support for Kubeflow to streamline ML workflows.
- Manage distributed training jobs, pipelines, model deployments, and more from within FusionFlow.
- Bring cloud-native power to local environments with edge compute nodes.
- Supports factory floors, hospitals, retail, and remote locations.
- Low-latency, data-local, and air-gapped environments supported.
- Bi-directional sync of data, applications, and state between edge and cloud.
- Continuous, resilient data flow using DeltaSync protocol.
- Manage cloud and edge resources in the same FusionFlow interface.
- Deploy, update, and monitor workloads consistently, regardless of location.
- Block Volumes: Persistent, scalable volumes for VMs, containers, and apps.
- Snapshots & Backups: Instant point-in-time recovery + full volume backups.
- Built-in Lustre support via DataDirect Networks.
- Massive parallel access for ML/AI workloads.
- Petabyte-scale data throughput with sub-millisecond latency.
- Wazuh SIEM/XDR for threat detection, vulnerability scanning, and response.
- ClamAV integration for Linux file protection.
- Identity & Access Management (IAM) with MFA, RBAC, and SSO support.
- Prebuilt compliance profiles: GDPR, HIPAA, PCI-DSS, ISO 27001.
- Run continuous scans, generate reports, and enforce policies.
- End-to-end encryption for data in transit and at rest.
- Key management with cloud-native and BYOK options.
- Unified cost dashboard with provider-level granularity.
- Track spending by service, project, team, or time range.
- Forecasting + anomaly detection to reduce surprise costs.
- Set thresholds by project or team.
- Trigger alerts, auto-scale-down, or resource suspension based on usage.
Seamlessly expand your infrastructure capacity by offloading workloads to public cloud providers when local or private resources are saturated. FusionFlow intelligently triggers burst events based on custom policies, auto-scaling thresholds, or real-time telemetry, ensuring continuous performance during traffic spikes or compute-heavy tasks.
Maintain business continuity with fully automated failover mechanisms across cloud regions or providers. FusionFlow orchestrates backup replication, health checks, and service redirection to ensure minimal downtime and fast recovery from regional outages, system failures, or security breaches.
Access a trusted marketplace of pre-validated third-party applications and open-source tools. With single-click deployment, every integration is automatically configured to comply with FusionFlow’s orchestration, monitoring, and security frameworks—reducing setup time and risk.
Provision and isolate infrastructure environments by team, business unit, customer, or geography. FusionFlow supports full multi-tenancy with resource quotas, delegated admin roles, policy enforcement, and usage tracking—ideal for MSPs, large enterprises, and SaaS vendors.
Gain complete visibility and control over every stage of your infrastructure’s lifecycle—from provisioning and monitoring to scaling and decommissioning. FusionFlow automates compliance checks, patching, cost tracking, and optimization, so your teams can focus on delivery, not maintenance.
Ideal Use Cases
AI/ML platform with distributed training
On-prem healthcare analytics at the edge
Multi-region SaaS application deployment
Scientific research with HPC workloads
Federated hybrid-cloud + edge environments
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