NVIDIA GTC 2025

NVIDIA GTC 2025 (March 17–21, San Jose) offered a front-row seat to the next wave of AI—and walking the floor, we saw it taking shape. AI is charging to the edge, with on-device processing reducing latency—crucial for real-time AI Ops. Multimodal AI fuses vision with action, and points to a future of more streamlined infrastructure, while robotics demos showcased intelligence in the physical world.

Blackwell’s raw power cast a long shadow, promising to supercharge workloads—though cost remains a looming question. What stood out, however, was a common gap: many prebuilt platforms still lack built-in inference endpoint scaling. It’s a blind spot Avesha tackles head-on with its Smart Scaler—a predictive, reinforcement learning–based solution designed to scale inference endpoints intelligently and efficiently.

Our meetings spanned the AI infrastructure ecosystem, highlighting the diverse needs of the platforms we're engaging with:

• Cloud Innovator: Exploring ways to achieve higher performance in inference endpoint scaling.
• Data Platform Optimizer: Focused on enabling multitenancy and implementing robust chargeback controls.
• Server Manufacturer: Interested in embedding a full-stack inferencing solution with efficient endpoint scaling. 
• Infrastructure Leader: Evaluating hybrid CPU-GPU architectures to support scalable, multitenant environments with chargeback capabilities.
• GPU Compute Specialist: Seeking solutions that support both multitenancy and intelligent inference endpoint scaling.
• Open-Source AI Pioneer: Looking to boost performance for inference workloads through more efficient scaling strategies.

Avesha’s GTC highlight was Smart Scaler (PRWeb, March 19, 2025):
 

We showcased 3x performance gains, 75% reductions in inference latency, and reinforcement learning–driven scaling across GPUs and CPUs- with benchmarks spanning both LLMs (LLaMA 3–8B, DeepSeek) and niche models. Startups and enterprises alike can now get real-time efficiency boost for their AI inference workloads.

This perfectly aligns with GTC’s edge-to-robotics momentum, reinforcing Avesha’s vision for elastic, efficient AIOps. Our Kubernetes-native enterprise dashboard gives ITOps real-time visibility, and team-level chargeback- without throttling AI engineering velocity. And that’s mission-critical as Blackwell’s compute power scales to new heights.

Your Turn

AI scaling is today’s chokehold—over 50% of AI projects fail due to budget overruns. Smart Scaler puts you back in control, high efficiency inference scaling with full visibility into GPU usage.

Let’s talk—share your scaling and cost challenges. We’d love to help and learn more.