Uploaded November 2025 | Updated September 2026, 2 weeks ago
When you call an LLM from Meta, Google, or OpenAI, it just gives you a response.
But you still have to manage caching, guardrails, observability, and governance on your own.
That means checking every input and output, handling logs, and managing cost — a lot of extra work for developers.
In this clip, Hemant Joshi from FloTorch explains how FloTorch simplifies that entire process.
The code looks almost identical, but behind the scenes, every request goes through the FloTorch Gateway — adding governance, routing, caching, and built-in guardrails automatically.
Build faster, stay secure, and focus on your GenAI application — FloTorch takes care of the rest.
#FloTorch #GenAI #LLM #AItools #HemantJoshi #AIInfrastructure
When you call an LLM from Meta, Google, or OpenAI, it just gives you a response.
But you still have to manage caching, guardrails, observability, and governance on your own.
That means checking every input and output, handling logs, and managing cost — a lot of extra work for developers.
In this clip, Hemant Joshi from FloTorch explains how FloTorch simplifies that entire process.
The code looks almost identical, but behind the scenes, every request goes through the FloTorch Gateway — adding governance, routing, caching, and built-in guardrails automatically.
Build faster, stay secure, and focus on your GenAI application — FloTorch takes care of the rest.
#FloTorch #GenAI #LLM #AItools #HemantJoshi #AIInfrastructure
