HPE and Kamiwaza rethink AI infrastructure for the inference era
The inference era just rewrote the infrastructure playbook. HPE and Kamiwaza are ditching the GPU-only model.
Why it matters
As AI workloads shift from training to inference at scale, enterprise infrastructure vendors are redesigning data center stacks to balance CPU and GPU compute. This signals a fundamental shift in how companies should architect their AI infrastructure capex.
The key facts
10 to knowHPE and Kamiwaza partnership focuses on inference-optimized infrastructure
Shift from 'AI factories' (training) to inference-era data centers
Mixed CPU/GPU platform strategy replacing GPU-centric architectures
Infrastructure must support: application hosting, intelligence generation, static workflows, agentic orchestration
Published Jun 22 2026 — signals emerging vendor positioning on inference infrastructure
HPE partnering with Kamiwaza on inference-optimized infrastructure
Focus on hybrid CPU-GPU platforms for enterprise AI
Infrastructure evolution from 'AI factories' to 'data centers of the future'
Stack supports application hosting, intelligence generation, and agentic orchestration
Inference era positioning as key market inflection point
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: As AI factories evolve into “data centers of the future,” the infrastructure stack must also transform into a mix of CPU and GPU platforms that can deliver a full set of AI computing solutions. This runs the gamut from application hosting to intelligence generation and from static workflows to…