Blazing CoreBLAZINGCORE

Lightning-FastReal-Time Processing.

Burst capacity in seconds, coordinate retries intelligently, and ship reliable automation that keeps pace with your ideas.

How It Works

Explore the key features that make Blazing Core the fastest way to ship production-ready code

YAML Config

Define your entire infrastructure in a single compose.yaml file. Simple, readable, and version-controlled.

Infrastructure as Code
YAML

One YAML file to rule them all. Deploy across multiple cloud providers with a single configuration.

Multi-Cloud

Deploy to GCP, Akash Network, or your own infrastructure. No vendor lock-in, full portability.

Cloud Agnostic
YAML

Choose your cloud provider. Define geographic regions for data residency. Stay compliant.

GPU Scaling

Spin up thousands of GPUs in seconds, pay only for what you use. Scale down to zero automatically.

GPU On-Demand
YAML
Supported:A10GA100H100

Observability

Monitoring, logging, and tracing out of the box. Debug production issues with real-time insights.

Complete Visibility
YAML

Track every deployment with comprehensive logging, metrics, and distributed tracing.

Blazing Core vs The Competition

Blazing CoreBLAZINGCORE

Configuration

Single YAML File

Define your entire infrastructure - services, networking, storage, and multi-cloud deployment - in one simple compose.yaml file.

Multiple YAML Files

Requires separate files for Deployments, Services, ConfigMaps, Secrets, Ingress, PersistentVolumes, and more.

Multi-Cloud

Native Multi-Cloud

Deploy to GCP, Akash Network, or multiple providers with the same YAML. Choose geographic regions and data residency requirements.

Cloud-Specific Setup

Kubernetes runs anywhere, but each cloud requires different setup, load balancers, storage classes, and cluster configuration.

Networking

Built-in Service Mesh

Automatic mTLS, service discovery, and secure communication across services and regions with HashiCorp Consul.

Separate Service Mesh

Requires installing and configuring Istio, Linkerd, or similar. Complex setup with separate YAML files and CRDs.

GPU Support

Simple GPU Config

Specify GPU type and count in YAML. Automatic scheduling across providers with different GPU availability.

Node Selectors + Tolerations

Requires node labels, selectors, resource limits, and GPU device plugins. Complex configuration for multi-cloud GPU scheduling.

Learning Curve

Simplified YAML

Single file with intuitive structure. Most developers productive in hours. No new concepts beyond basic container knowledge.

Steep Learning Curve

Complex ecosystem with Pods, Deployments, StatefulSets, DaemonSets, Jobs, CronJobs, Services, Ingress, PVs, PVCs, ConfigMaps, Secrets, RBAC, NetworkPolicies, and more.

Ready to get started?