The Radian Arc partner ecosystem
Radian Arc partners with independent software vendors (ISVs) to deliver a true "ideation to realization" pathway for organizations carrying an AI mandate - turning owned data into deployed, outcome-generating models rather than handing clients a generic platform and leaving them to bridge the gap.
Where hyperscalers and frontier model providers offer scale but lack precise understanding of the use case, Radian Arc pairs its application developer network with deep sector expertise across education, government, healthcare, smart cities, agriculture and meteorology, co-developing tailored solutions that reflect how each industry actually works.
Underpinning these tie-ups is InferX's intelligent GPU orchestration and AI control plane, which dynamically routes each inference request to the most effective compute destination - edge node, core data center or frontier model - based on latency, data-residency requirements, token economics and the accuracy the application demands.
The result is a credible, sovereign alternative to the hyperscaler default: better token economics and lower cost per useful output, models built around the specifics of the application rather than a one-size-fits-all stack, and measurably higher intelligence per Watt squeezed from every GPU in the network.
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Through InferX, Radian Arc converts its status as an NVIDIA Cloud Partner (NCP) into both credibility and capability: an optimization-led approach with validated GPU reference architecture backed by one of the most trusted names in global infrastructure. NCP status secures access to NVIDIA's latest GPU platforms, but the hardware alone isn’t enough.
One of our core principles is that customers should consume a validated cloud service, where compatibility, compliance and performance engineering are our responsibility. This positions Radian Arc as a genuine partner rather than a passive reseller.
InferX layers deep IT workload expertise on top of NVIDIA silicon, so it can select the right platform for each workload and extract maximum useful output from every GPU. The result is the best of both worlds: the assurance and performance of NVIDIA hardware combined with InferX's intelligent orchestration and AI control plane, delivering more tokens per GPU, lower total cost of ownership, and measurably higher intelligence per Watt than a generic, over-provisioned hyperscaler instance.
AMD chips are often utilized for cloud gaming because they deliver excellent price-to-performance, high core counts for dense server virtualization, and efficient, high-performance RDNA graphics architecture. Their AMD EPYC processors offer exceptional single-threaded speed and scalable PCIe bandwidth, ideal for streaming high-end, low-latency games.
Radian Arc often leverages AMD Radeon GPUs for its telco edge deployments to enable cloud gaming services. This helps telcos and cable firms offer new services to their users over older networks. Our deep understanding and experience of AMD GPU platforms enable us to deliver up to 4x greater token output performance vs. other cloud providers.
However, Radian Arc aren’t locked in to one chip vendor, meaning independent, optimized hardware selections can be made based on the use case and client requirements.
Radian Arc CEO David Cook has often publicly emphasized the strong relationship with AMD, and Radian Arc has exhibited alongside AMD at events like India Mobile Congress. Radian Arc was also the only non-hyperscaler with access to AMD high-performance, enterprise-level GPUs during the global chip shortage of 2022-2023.
Radian Arc, through RadianX, gives cloud game publishers direct access to high-performance GPU compute across the full lifecycle of a title - from development through to delivery. On the build side, publishers gain dedicated development capacity on the latest GPU platforms, with lower cost per token and the low-latency headroom needed to supercharge title development and embed AI-driven features such as smarter, more responsive NPCs.
On the delivery side, the same infrastructure - positioned close to users within telco networks - turns GPU compute into a viable distribution channel, letting publishers stream AAA experiences to hundreds of millions of players who have never owned a console, opening up a genuinely new total addressable market in territories where console penetration is low.
Rather than acting as a raw compute utility, RadianX functions as the technical and commercial link between developers and gamers: the "console in the cloud" where titles are built, powered and played, backed by the GPU infrastructure, network proximity and routing intelligence that make high-fidelity cloud gaming perform.
As compute workloads shift decisively from training to inference, inferencing budgets have become one of the industry's most acute pain points - capacity is unwieldy, costs run over, and developers and chip manufacturers alike are desperately seeking efficiencies.
Radian Arc, through InferX, eases that burden by treating inference not as a fixed cost to be absorbed but as a workload to be intelligently placed. Its federated network - built on an unmatched base of telco operators and data-center partners - aggregates distributed GPU capacity into a single addressable pool, while the AI control plane routes each request across network boundaries to the most efficient compute available at that moment, balancing latency, sovereignty and cost.
Critically, the control plane decides dynamically whether a frontier model or a smaller, tightly scoped model best serves a given request, so expensive capacity is reserved for the work that truly needs it. The effect is to free up stranded inference capacity that would otherwise sit idle, lift the number of useful tokens extracted from every GPU, and lower total cost of ownership - taking pressure off development teams running over budget and under capacity, and relieving the strain on chip manufacturers whose inference demand is outpacing supply.
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