Bring the operational simplicity of public cloud to your own bare-metal infrastructure. Akasha automates your hardware, accelerates your AI lifecycles, and manages your facility footprint under one unified platform.
Reduce time to deploy ML models.
Lower infrastructure spend by eliminating idle resource waste.
Better performance than public cloud.
Akasha bridges the gap between raw hardware efficiency and cloud-native agility. Our production-ready architecture integrates industry-standard building blocks — seamlessly, from the physical layer up to orchestration, secured end-to-end.
Shared · AI/ML · Intelligent scheduling
Dedicated · Apps · Auto-scaled
Virtualization · Networking · Storage
Cluster lifecycle · Console · Auth
NVIDIAKubernetes
KVM
PostgreSQL
Authentik
MLflowFrom public-cloud self-service to autonomous AI clusters to full facility operations — Akasha covers the entire bare-metal lifecycle.
Get the self-service developer velocity of the public cloud without the virtualization tax or unpredictable egress fees.
Stop fighting infrastructure bottlenecks. Go from bare-metal hardware to running training and inference workloads in minutes, not months.
Free your engineering teams from facility management. Akasha assumes operational responsibility for your physical data center footprint.
The same primitives that power public clouds — instances, clusters, storage, networking and accelerators — under a single, unified API and console.
Launch VMs and system containers in seconds with flexible CPU and RAM shapes, snapshots and live migration.
Production clusters with autoscaling, ingress and GitOps-ready workflows across data centers and edge.
Resilient block storage, S3-compatible object storage and managed databases with snapshots and replication.
AI-driven threat detection and zero-trust segmentation powered by Akasha Sec.
Dedicated or fractional NVIDIA accelerators scheduled to workloads, with integrated MLOps and utilization metering.
Org and project hierarchy, RBAC, quotas and transparent usage-based invoicing out of the box.
Public-cloud agility, enterprise-grade security, and bare-metal economics — without giving up control of your infrastructure.
Self-service velocity and an API-first console, on infrastructure you own and control.
Operationalize compute and GPU the same week the hardware arrives, with templated provisioning.
Tailored infrastructure optimization keeps expensive accelerators busy across training and inference.
AI-driven threat intelligence and zero-trust security powered by Akasha Sec.
Run in your own facility or region to meet data residency, compliance and sovereignty needs.
Usage-based metering with no virtualization tax or surprise egress fees — every tenant sees exactly what it consumes.
Everything a hyperscaler charges extra for ships in the platform — at bare-metal performance, without the virtualization tax or unpredictable egress fees.
Price your workload — GPU, compute, storage and egress — against a blended AWS + GCP bill. Teams typically run up to 70% lower than public cloud.
Blended AWS + GCP on-demand list prices vs Akasha rates, as of June 2026. Estimates use published AWS and GCP on-demand list prices (blended as a simple average) versus representative Akasha rates. Actual costs vary with commitments, region and usage — this is an estimate, not a quote.
Trusted by enterprise leaders across the United States, Singapore, Australia and Indonesia — deploying high-availability infrastructure where resilience and latency matter most.
In strategic partnership with ICON+ (PLN), Indonesia’s largest power-supply and premium connectivity provider — ensuring unmatched power resilience and low-latency networking.
Engineering notes, product updates and deep dives on cloud and AI infrastructure.
Run a public-cloud-grade experience on your own metal and in your own region, without hyperscaler lock-in. How Akasha's open foundations and on-prem-capable design keep data, hardware, and exit under your control.
Read more
Dedicated, single-tenant allocation leaves CPU, GPU, RAM, and storage paid for but idle. A multi-tenant control plane with quotas and usage-based billing is how you turn stranded capacity into billable, self-service product.
Read more
Raw accelerators in a rack underdeliver ROI. See how Managed GPU uses MIG partitioning, scheduling, and usage-based billing to turn H100/H200/Blackwell fleets into a productive AI cloud for your teams or to sell.
Read moreTell us about your data center and your workloads. We’ll map your path to hyperscale — a migration plan or an AI-cluster strategy — and follow up within two business days.