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Cloud-like flexibility. On-Prem Control. 

Cloud changed how businesses expect to buy infrastructure. Flexible, scalable, consumption-based. But when it comes to on-prem, the model often falls behind. Hammer Stack changes that. We bring cloud-style financial models to on-prem infrastructure, giving customers the flexibility of cloud without losing control of data or costs.

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Cloud costs are rising. Sovereignty requirements are tightening.

Cloud is great for fast experimentation, but as AI workloads scale, costs often become unpredictable. At the same time, many organisations face growing pressure around sovereignty, governance, and where sensitive data and models should run.

That creates a common tension. Customers want on-prem control for sovereignty and cost management, but they do not want to return to rigid buying cycles and large upfront investment.

On-prem control, cloud-style flexibility

Hammer Stack bridges the gap between how customers want to run workloads and how they want to pay for them. Instead of large upfront investment or unpredictable monthly bills, Hammer Stack supports subscription and leasing options aligned to usage and project timelines.

The result is a practical route to move AI workloads on-prem, retain control of data and performance, and keep long-term cost predictable.

 

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MiTAC

MiTAC delivers the rack-mounted server platforms that form the core physical compute foundation, providing a stable, scalable foundation for consistent deployment and future expansion.

It matters because predictable operations and serviceability become critical once sovereignty-driven workloads move on-prem and need to scale without disruption.

Western Digital

Western Digital provides the storage layer for datasets and model artefacts, engineered for consistent throughput and low latency rather than raw capacity alone.

This delivers predictable costs and stable performance, especially for customers moving away from variable cloud‑storage and egress fees.

VDURA

VDURA is a fully software designed storage platform that combines the speed of a parallel file system whilst simultaneously removing economic risk by combining NVMe flash with high-capacity HDD 

V12 Hydra provides 20x acceleration for GPU native workloads, scales from petabyte to exabytes and provides the highest level of TCO for todays demanding workflows  

AMD

AMD powers the CPU layer within the compute nodes, supporting the host processing that drives the platform and keeps AI pipelines running smoothly.

The CPU layer sustains consistent performance and helps prevent bottlenecks as customers shift more workloads on‑prem for greater cost efficiency and control.

Nvidia

NVIDIA delivers the GPU‑acceleration layer that powers training and high‑throughput inference. The GPUs are the performance engine behind real AI workloads.

It also drives key rack‑level considerations such as power density and cooling, which is why Hammer Stack is built as a validated, rack‑level system rather than a collection of ad‑hoc components.

APC

APC provides the rack‑level power and protection layer, ensuring stable, monitored power delivery in GPU‑dense environments where electrical integrity is non‑negotiable.

This strengthens reliability and uptime, which are critical advantages for organisations choosing on‑prem infrastructure for sovereignty, predictability, and tighter cost control.

A better conversation than just technology

For partners, Hammer Stack opens a different conversation. It is not only about performance or specs, but about how customers want to consume infrastructure, manage sovereignty risk, and control costs over time.

Hammer Stack is built to bridge that gap and bring cloud economics on-prem.

 

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