Coming soon: fast, cost-effective inference on your infrastructure

Coming soon: fast, cost-effective inference on your infrastructure

We’re building an AI inference solution for platform teams that prioritizes open-source, data privacy, full control, and easy deployment into existing infrastructure

Empowering Platform Teams to Drive GenAI adoption in production (early access)

Maximize Cost Efficiency (In development)

Unify all available cost optimizations—across hardware, inference frameworks, and model-level techniques—into a fully automated, ready-to-use platform.

Best in class performance (In development)

Define your performance goals, such as latency and throughput, and our system automatically adjusts and maintains the optimal inference setup

Integration with existing infrastructure (In development)

Integrate deeply with your existing cloud-native infrastructure, acting as a natural extension with minimal need for re-architecting

Cost Efficiency

Maximize GPU Utilization, Minimize AI Costs (Coming Soon)

Maximize GPU Utilization, Minimize AI Costs (Coming Soon)

Maximize GPU Utilization, Minimize AI Costs (Coming Soon)

Leverage GPU sharing, dynamic provisioning, and spot instance integration to unlock efficient, scalable AI infrastructure with zero waste

GPU Sharing Techniques

Optimize GPU use with dynamic partitioning and fractional GPUs for efficient containerized inference.

GPU Sharing Techniques

Optimize GPU use with dynamic partitioning and fractional GPUs for efficient containerized inference.

GPU Sharing Techniques

Optimize GPU use with dynamic partitioning and fractional GPUs for efficient containerized inference.

Spot Instance Integration

Use spot instances with automated recovery, fallback, and autoscaling for cost savings

Spot Instance Integration

Use spot instances with automated recovery, fallback, and autoscaling for cost savings

Spot Instance Integration

Use spot instances with automated recovery, fallback, and autoscaling for cost savings

Expanded GPU Pool

Access diverse GPU instances for flexible, cost-effective inference

Expanded GPU Pool

Access diverse GPU instances for flexible, cost-effective inference

Expanded GPU Pool

Access diverse GPU instances for flexible, cost-effective inference

Intelligent GPU Provisioning

Dynamically provision GPUs based on real-time workload needs across clouds

Intelligent GPU Provisioning

Dynamically provision GPUs based on real-time workload needs across clouds

Intelligent GPU Provisioning

Dynamically provision GPUs based on real-time workload needs across clouds

Performance optimization

Optimized Performance Tailored to Your Workload (Coming Soon)

Optimized Performance Tailored to Your Workload (Coming Soon)

Optimized Performance Tailored to Your Workload (Coming Soon)

Achieve best-in-class inference performance with goal-based optimization, intelligent autoscaling, and automated profiles for latency, throughput, and resource utilization

Performance Profiles

Automatically optimize configurations for hardware and workload performance

Performance Profiles

Automatically optimize configurations for hardware and workload performance

Performance Profiles

Automatically optimize configurations for hardware and workload performance

Goal-Based Optimization

Set performance or cost targets; the system adjusts settings to meet them

Goal-Based Optimization

Set performance or cost targets; the system adjusts settings to meet them

Goal-Based Optimization

Set performance or cost targets; the system adjusts settings to meet them

Inference Autoscaling

Scale inference with GPU autoscaling, model caching, and stream-based loading

Inference Autoscaling

Scale inference with GPU autoscaling, model caching, and stream-based loading

Inference Autoscaling

Scale inference with GPU autoscaling, model caching, and stream-based loading

Integration

Effortless Integration with Your Cloud-Native Stack (Coming Soon)

Effortless Integration with Your Cloud-Native Stack (Coming Soon)

Effortless Integration with Your Cloud-Native Stack (Coming Soon)

Extend your AI capabilities seamlessly within your Kubernetes, CI/CD, and IaC ecosystems, without re-architecting or disrupting existing workflows

Kubernetes Native

Integrate into Kubernetes with Operators, YAML, and CRDs, enhancing workflows

Kubernetes Native

Integrate into Kubernetes with Operators, YAML, and CRDs, enhancing workflows

Kubernetes Native

Integrate into Kubernetes with Operators, YAML, and CRDs, enhancing workflows

IaC Support

Use Terraform/OpenTofu for automated, compliant AI deployments

IaC Support

Use Terraform/OpenTofu for automated, compliant AI deployments

IaC Support

Use Terraform/OpenTofu for automated, compliant AI deployments

Karpenter Integration

Add GPU autoscaling to Karpenter, enabling AI workload scaling

Karpenter Integration

Add GPU autoscaling to Karpenter, enabling AI workload scaling

Karpenter Integration

Add GPU autoscaling to Karpenter, enabling AI workload scaling

Ready to Transform Your AI Capabilities?

Experience unmatched efficiency, performance, and integration with Revving.ai