Upscale AI
Executive perspectives from Upscale AI across NextGenInfra's event and research showcases.
3 video interviews · 2025–2026
AI Data Centers Need Purpose-Built Networks
- AI workloads need deterministic, AI-specific networking rather than adapted general-purpose gear
- Upscale AI co-designs ASIC, systems, and software while maintaining openness
Full summary
In this director's cut video, Aravind Srikumar, SVP of Product at Upscale AI, presents the company's mission to deliver AI-specific networking solutions. Upscale AI differentiates through co-design optimization of ASIC, systems, and software to deliver deterministic performance for AI workloads while maintaining openness.
AI Data Centers Need Purpose-Built Networks
- AI workloads demand completely lossless, synchronized networks
- Purpose-built silicon, systems, and software for scale-up and scale-out — not adapted general-purpose infrastructure
Full summary
Aravind Srikumar, SVP, Product at Upscale AI, explains how AI workloads require completely lossless, synchronized networks. He shares how Upscale AI delivers AI-specific networking silicon, systems, and software purpose-built for both scale-up and scale-out environments, rather than adapting general-purpose infrastructure.
Open Scale-Up Solutions
- Upscale AI builds open scale-up solutions using ASICs to interconnect GPUs.
- The approach is standards-based, targeting hyperscalers' compute resource challenges.
Full summary
Aravind Srikumar, SVP of Product at Upscale AI, discusses how his company develops open scale-up solutions using ASICs to interconnect GPUs, addressing hyperscalers' compute resource challenges through standards-based approaches.