Rekaz | On-Prem AI Development Platform

YourGPUsActually used On-prem training, fine-tuning, and fleet orchestration. One control plane.

Stop hoarding GPUs. Departments hoard because sharing is broken. Rekaz fixes sharing. One fleet. Strict isolation between teams. Every card accounted for.

14x Efficiency Gain

50% Hardware Reduction

Everything you need to run AI infrastructure

One fleet. Every team. 01

Your entire GPU cluster. Visible. Allocated. Isolated. No team steps on another.

01 Cluster health

Real-time GPU temps, utilization, and memory. One dashboard.

02 Multi-tenancy

Quotas per team. Hard limits. No one over-provisions.

03 Bare metal

Direct hardware access when workloads demand it.

04 External Clusters

Federate remote clusters into your control plane. Manage from one place.

Train. Version. Ship. 02

One workflow. Training to deployment. Kubernetes-native. CI/CD built in.

01 Job scheduling

Queue training jobs. Priority-based. No manual GPU allocation.

02 Experiment tracking

Every run logged. Every hyperparameter recorded. Repeat what works.

03 Model versioning

Tag, compare, rollback. Every model traceable to the commit that built it.

Squeeze more from every card 03

Run multiple workloads on a single GPU. Dynamic allocation. Fractional scheduling.

01 Deployment lifecycle

Stage, canary, promote. Full rollback if something breaks.

02 Auto-scaling

Scale with demand. API keys per consumer. Usage tracked.

03 Inference monitoring

Latency, throughput, error rates. Per model. Per endpoint.

Four ways to run it

Isolated Clusters Separate environments per department. Different data. Different rules. Same fleet.

Private Training Data ingestion to model output. Everything inside your perimeter.

Utilization Recovery Idle GPUs get reassigned automatically. No tickets. No waiting.

Production MLOps Standardized rollout. Canary. Blue-green. Rollback in minutes.

Fleet Intelligence

Know Every Card. Waste Nothing Enterprises waste 60-70% of GPU budgets on idle resources. Rekaz shows you what's running, what's overheating, and what's sitting dark. One dashboard. No blind spots.

Operational Observability

Utilization per GPU

Memory load and throughput

Workload distribution

Cost attribution across agents

Hardware Health

Thermal monitoring

Power consumption

Error rates and failures

Driver stability

Between your hardware and your teams

Deployment Modes

On-Prem Cloud experience. Local control.

Private Cloud Your VPC. Your security rules.

Air-Gapped Zero external connectivity.

Works With Your Stack

Frequently Asked Questions

An on-prem AI platform. Training, fine-tuning, deployment, and GPU fleet management. One control plane.

Platform teams at government, semi-gov, and large enterprises running AI under compliance, control, and multi-team constraints.

Yes. Isolated environments per team. Role-based access. Quota enforcement. Hard limits.

On-prem and private cloud. Including air-gapped. No internet required.

Centralized scheduling. Quotas per team. Idle GPUs get reassigned. No manual allocation.

Rekaz is to build AI. Bunyan is to use AI. Independent products. Work together or standalone.

See Rekaz In Action

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