Nokia, AI computing specialist Blaize and Indonesia-based IT service provider Datacomm Diangraha recently signed a deal to collaborate on infrastructure to help organisations deploy reliable AI systems in a more cost-effective way.
Starting in Datacomm Diangraha’s home market, the partners have their sights set on accelerating adoption of hybrid AI inference architecture across the wider APAC region.
In a statement, Blaize explained a “central principle” of the collaboration is the belief “no single compute paradigm serves every AI workload” with hybrid architectures claimed to be the most effective for enterprises.
Nokia is to supply the backbone for GPU-intensive workloads where the “economics are justified”, while Blaize provides energy efficient AI inference platforms when “power budgets are constrained, deployments are geographically distributed and the economics of GPU infrastructure are prohibitive”.
Blaize noted its offering is designed for edge and hybrid cloud deployment.
Datacomm Diangraha brings local expertise, its customer base and complementary products.
The partnership builds on a pact Blaize and Nokia signed in January, and a memorandum of understanding between the former and Datacomm Diangraha struck earlier this month.
Blaize stated the collaboration combines the strengths of each into a “single, pre-validated technology and go-to-market stack” for enterprises and public sector organisations.
Nokia head of AI and cloud for Asia Pacific Dion Leung added the “three-way collaboration represents exactly the kind of outcome-driven partnership the market needs right now”.
“Nokia’s role is to make hybrid AI deployable at scale, connecting the cloud to the far edge with a level of reliability, security and automation that enterprise customers can build real businesses on. With Blaize on compute and Datacomm on the ground in Indonesia, we have the complete picture.”
Source: Mobile World Live
Image Credit: Nokia
