Engineering
better
GPU clouds.

Extraordinary hardware.
A cloud that lives up to it.Performance, security and reliability engineering for neoclouds.

Engineer what comes next
01 — THE HARDWARE IS ONLY THE BEGINNINGExplore the infrastructure ↓
Experience across projects, platforms & open source
01 / The gaps behind the hardware

Your customers rent a cloud.
Not a debugging project.

Assess the service customers actually receive: how it performs, what it exposes and what happens when something fails.

Cluster performance

Fast GPUs. A slow cluster.

Benchmark the complete workload path. Inspect GPU health, interconnects, storage and scheduling to find constraints that single-device benchmarks miss.

ComputeNetworkingStorage
02 / Engineering, not just advice

Get into the stack.
Get it working.

A hands-on assessment and remediation engagement, scoped around your architecture, customer requirements and most urgent gaps.

[ 01 ]

Cluster
performance

Establish a reproducible baseline across the systems your workloads depend on. Find the limiting layer and validate changes under load.

  • Slurm & Kubernetes configuration
  • GPU, network & storage benchmarks
  • Training & inference workload validation
[ 02 ]

Security &
tenant isolation

Review the boundaries between customers and provider systems. Prioritise configuration gaps and validate the fixes within an agreed scope.

  • Tenant boundaries & access controls
  • Network, storage & telemetry isolation
  • Software lifecycle & patch processes
[ 03 ]

Production
reliability

Test how the cluster behaves when components degrade or fail. Give operators actionable signals and a repeatable recovery path.

  • Health checks & actionable monitoring
  • Failure detection & recovery validation
  • Provisioning, runbooks & handover
03 / A clear path to better operations

Find it. Fix it. Prove it.

Start with an agreed scope and acceptance criteria. Leave with prioritised findings, implemented fixes and evidence your team can use.

01 / DIAGNOSE

Establish the ground truth.

Review the customer environment and management stack. Establish baselines and document performance, security and reliability gaps.

WHAT YOU GETA gap assessment with severity, evidence and priorities.
02 / IMPLEMENT

Work alongside your team.

Agree the remediation scope with your engineers. Address configurations, system boundaries and operating procedures with a controlled rollout.

WHAT YOU GETA remediation backlog and reviewed implementation.
03 / VALIDATE

Measure. Then hand over.

Repeat the agreed checks, benchmark changes and exercise recovery. Record remaining gaps and ownership for ongoing operations.

WHAT YOU GETBefore-and-after evidence and operating guidance.

Hazor Systems

Independent engineering
GPU infrastructure & AI systems

Hands-on project experience spanning NVIDIA, SGLang, vLLM, Baseten and Corvex. Working across the infrastructure and inference stack to close the gap between available hardware and a dependable managed service.

04 / Let’s get specific

Is your cluster
customer-ready?

Bring your architecture, your customer requirements and the gaps you need to close. Start with a scoped assessment and a practical remediation plan.