If vLLM already solved LLM serving, why did SGLang appear?
Neysa is the AI Cloud Partner at Cypher 2026, the 10th edition of India’s AI conference by Analytics India Magazine, held 7 to 9 October 2026 at KTPO, Whitefield, Bengaluru. Find us at Booth 3 on the expo floor all three days, showcasing the all-new Neysa Velocis experience, and catch Ritesh Dhoot’s talk on the real cost of production AI on 7 October at 4:45 PM IST in Hall 1.
At Cypher, we’ll explore what it really takes to run AI in production, from inference economics and infrastructure utilisation to model selection, workload architecture and operational control.
Connect with the Neysa team to see how the right infrastructure decisions can help move AI from experimentation to production.
Experience the full Velocis stack live, from bare-metal silicon to served inference endpoints.
Spin up pre-configured Jupyter or VS Code environments in seconds. Provision runtimes on-demand: bare-metal, VMs, managed K8s, or dedicated inference endpoints.
See how infrastructure decisions such as caching context, matching models to workloads, separating batch and real-time traffic, and choosing dedicated capacity can change the economics of production AI.
Ritesh Dhoot, EVP Engineering at Neysa, addresses a critical question for engineering teams scaling production AI.
Stop counting tokens. Start measuring outcomes.
7 October 2026 | 4:45 PM to 5:05 PM IST | Hall 1 | 20 minutes including Q&A
Speaker: Ritesh Dhoot
The published price per token is easy to compare. The real AI bill is not.
As AI moves from experimentation to production, the way we think about its economics needs to evolve.
Ritesh will explore what really drives the cost of running AI at scale, and why measuring success purely through tokens can miss the bigger picture.
The conversation will look beyond the price sheet to cost per outcome, and the role that inference, infrastructure and workload architecture play in shaping the economics of production AI.
If you’re building, scaling or deploying AI, this is a conversation you won’t want to miss.
Join Ritesh at Cypher to rethink how you measure the true cost of AI.
Whether you’re building AI applications, scaling inference workloads or evaluating where your enterprise AI should run, we’d like to understand what you’re working on.
Book a meeting with Neysa to discuss your AI workload, infrastructure requirements, cost per outcome and the path from experimentation to production.