Ship AI at
scale
Enterprise AI infrastructure. Deploy, monitor, and scale models with GPU-powered pipelines and sub-50ms inference.
POWERING AI-DRIVEN PRODUCTS
AI infrastructure built for
ML teams who ship
GPU-powered inference, real-time monitoring, and enterprise-grade pipelines. Deploy models in minutes, not weeks.
ML Pipeline Builder
Visual pipelines for training, validation, and deployment. One-click rollout.
Learn moreEnterprise Security
SOC2, HIPAA compliant. Model weights encrypted at rest, audit trails for every inference.
Learn morePyTorch & TensorFlow
Native support for PyTorch, TensorFlow, ONNX. Deploy from Hugging Face.
Learn moreBatch & Real-Time
Run batch jobs or real-time inference. Same models, flexible workloads.
Learn moreCustom Model Support
Bring your own models. Fine-tune, quantize, and serve with one platform.
Learn moreDeploy in three steps
Push your model, configure scaling, go live. No DevOps required.
Push your model
Upload from local, S3, or Hugging Face. We support PyTorch, TensorFlow, and ONNX out of the box.
Configure scaling
Set min/max replicas, GPU type, and autoscaling rules. Preview costs before deploy.
Ship & monitor
Get your inference endpoint. Track latency, throughput, and cost in the dashboard.
Built for ML teams who ship fast
Infrastructure that gets out of your way. Focus on models, not servers.
Production-grade SDKs
Python, Node, Go SDKs with type hints. Deploy from CLI or CI/CD in one command.
Model versioning
Version, rollback, and A/B test models. Blue-green deployments with zero downtime.
Cost optimization
Scale to zero when idle. Spot GPU support. Pay only for inference time, not idle.
The Architecture of Infinite Scale
Our platform bridges the gap between raw data and actionable intelligence through a proprietary neural pipeline.
Neural Ingestion
Aggregating multi-source telemetry through our 256-bit encrypted ingestion layer with zero packet loss.
Cognitive Processing
Real-time data transformation using LLM-driven heuristics to filter noise and prioritize critical events.
Global Consensus
Distributed verification across our node network, ensuring 99.99% consistency before deployment.
Instant Propagation
Push updates to the global edge instantly. 24ms average latency across 180+ global lightning nodes.
Works with your stack
PyTorch, TensorFlow, Hugging Face, Weights & Biases. Deploy from your existing pipeline.
Trusted by 2,400+ ML teams
From startups to Fortune 500. Ship models faster with Devanshu infrastructure.
Simple pricing for every stage
Free tier to get started. Scale as you grow. No hidden fees, no lock-in.
Everything about Devanshu
Security, scaling, deployment. Answers to the questions ML teams ask most.
We are SOC2 Type II, GDPR, and HIPAA compliant. All data is encrypted using AES-256 at rest and TLS 1.3 in transit, with automated vulnerability scanning performed every 24 hours.
Our system monitors CPU and memory load in real-time. When thresholds are met, additional nodes are provisioned in under 400ms across 12 global regions to ensure zero latency for your users.
Yes. Our Enterprise plan supports hybrid and private cloud deployments via Kubernetes (EKS, GKE, or AKS) or on-premise hardware using our dedicated CLI tools.
Yes. Upload any PyTorch, TensorFlow, or ONNX model. We support fine-tuned models, custom architectures, and quantized weights. Bring your own weights and we'll serve them.
Still need clarity?
Our engineers are available 24/7 for technical deep-dives and architectural consultations.
- 15-min Response Time
- Dedicated Slack Channel
Built for every AI workflow
Recommendations, search, fraud detection, content moderation. One infrastructure, any use case.
Ship AI at
scale.
Join 2,400+ ML teams. 10K free inferences/month. No credit card. Deploy your first model in 5 minutes.