Intel, RadixArk Collaborate to Advance Open AI Inference on Intel Platforms
Business Wire•12/11/2026•15:30 ET
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Key Highlights
- ➤Intel collaborates with RadixArk to optimize open-source SGLang inference stack
- ➤SGLang optimization targets Intel CPUs, GPUs and accelerators
- ➤Collaboration aims to improve AI deployment efficiency, latency and cost-effectiveness
- ➤Upstream contributions will integrate Intel hardware optimizations into SGLang’s core framework
Expert Statements
Anil Nanduri, Vice president, AI Products & GTM, Intel Data Center Group
“Enterprise AI is moving beyond isolated performance benchmarks to solving full-system production deployments.”
Anil Nanduri, Vice president, AI Products & GTM, Intel Data Center Group
“This collaboration ensures developers have Day-0 readiness and high-performance inference software directly optimized for Intel CPUs, GPUs and accelerators with an open approach and gives them the freedom to choose the tools, frameworks and technologies that best fit their needs.”
Ying Sheng, CEO, RadixArk
“Our collaboration with Intel is a major milestone for open-source AI inference, enabling SGLang optimization directly to Intel’s platforms,”
Ying Sheng, CEO, RadixArk
“By upstreaming deep optimizations into the core framework, we are eliminating constraints and ensuring developers never have to compromise between open standards and high performance.”
Ying Sheng, CEO, RadixArk
“Our mission to make frontier AI infrastructure open and accessible to every builder, and Intel’s enterprise-ready architecture gives development teams the flexibility and compute density they need to scale production AI workloads seamlessly.”
Intel, RadixArk Collaborate to Advance Open AI Inference on Intel Platforms
Intel Corporation today announced a collaboration with RadixArk to optimize SGLang, an open-source AI inference stack, for Intel platforms that aims to help developers and enterprises deploy leading AI models and build AI applications more efficiently and cost-effectively.
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