Upscale AI to Exhibit and Speak at OCP Global Summit

WHAT:

Upscale AI’s Srihari Vegesna will present the session “Performance Evaluation of Interconnect Technologies for AI Scale-Up Computing: UAL vs UALoE/SUE vs RoCE” at the upcoming OCP Global Summit. He will also be joined by Srinivas Gangam, Fellow at Upscale AI. Srihari and Srinivas will compare Ultra Accelerator Link (UAL) Ethernet-based (UALoE) Scale Up Ethernet (SUE) to Remote Direct Memory Access (RDMA) over Converged Ethernet (RoCE) for AI-optimized data transfer. The session will evaluate transaction-level load balancing, DMA thread efficiency, and bandwidth utilization for memory-semantic xPU workloads.

Session Details:

Date: Wednesday, Oct. 15
Time: 10:25 – 10:40 a.m. PDT
Location: San Jose Convention Center (SJCC) Concourse Level 210ABEF
Conference Schedule: https://2025ocpglobal.fnvirtual.app/a/schedule/

Upscale AI will also be exhibiting at OCP booth number C27 where attendees can visit to learn more about Upscale AI’s scale-up networking solutions and talk directly with leaders from the company.

In September 2025, Upscale AI officially launched with over $100 million in funding. The company is focused on developing a next-generation AI suite of networking solutions that delivers high-performance connectivity for specialized compute, accelerating AI democratization with open-standard and full-stack turnkey solutions.

WHERE:

SJCC booth No. C27

150 W San Carlos Street

San Jose, CA 95113

WHEN:

Tuesday, Oct. 14 – Thursday, Oct. 25, 2025

For sales inquiries, please reach out to: info@upscaleai.com.

For press inquiries, please contact: upscaleai@racepointglobal.com.

About Upscale AI

Upscale AI is a high-performance AI networking company accelerating AI democratization with open-standard and full-stack turnkey solutions. Upscale AI’s suite of silicon, systems, and software are purpose-built for ultra-low latency networking, enabling breakthrough performance and scalability for AI training, inference, generative AI, edge computing, and cloud-scale deployments. To learn more about Upscale AI, please visit: https://upscaleai.com/.