---
title: "Operating Distributed Inference Systems at Scale"
category: "talks"
date: "2026-07-01"
time: "10:45am-11:05am"
track: "Inference"
room: "Track 9"
speakers: ["Nishant Gupta", "Naman Ahuja"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Inference"
scheduleRoom: "Track 9"
scheduleLabels: ["Inference", "Track 9", "session", "confirmed"]
---
# Operating Distributed Inference Systems at Scale

## Conference Context
- Date/time: 2026-07-01 · 10:45am-11:05am
- Track/room: Inference · Track 9
- Speaker(s): Nishant Gupta, Naman Ahuja
- Session type/status: session · confirmed

- Track: Inference
- Room: Track 9
- Session type: session
- Status: confirmed

## Session Description
Inference has rapidly become one of the most important infrastructure problems in modern computing. As AI systems evolve into autonomous agents with persistent memory, tool usage, and multi-step reasoning, traditional inference architectures struggle under growing demands for latency, throughput, cost efficiency, and reliability. In this talk, I’ll share lessons from building large-scale elastic compute and AI infrastructure systems powering production workloads. We’ll explore the modern inference stack and the architectural patterns emerging to support next-generation agentic AI systems. Topics include distributed inference architectures for large-scale AI systems, GPU scheduling and elastic compute for inference workloads, multi-tenant inference infrastructure, caching, batching, latency optimization strategies, reliability and fault isolation for inference systems, observability and control loops for AI serving platforms, balancing cost, throughput, and user experience, and why inference is becoming an infrastructure orchestration problem. Attendees will gain practical insights into designing scalable, resilient, and cost-efficient inference platforms for modern AI workloads.

## Media Evidence
[Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs](https://www.youtube.com/watch?v=APh1Vx0oLmQ) (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

- Source video: `youtube-APh1Vx0oLmQ`
- Slide deck: [[youtube-APh1Vx0oLmQ-dense-slides|Dense Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs]] — 14 visible slide image(s); 14 HTML recreation(s).
![[assets/dense-slides/APh1Vx0oLmQ/slide-001.jpg]]
![[assets/dense-slides/APh1Vx0oLmQ/slide-002.jpg]]
![[assets/dense-slides/APh1Vx0oLmQ/slide-003.jpg]]
- Additional slide evidence: [[youtube-APh1Vx0oLmQ-slides|Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs]], [[youtube-APh1Vx0oLmQ-reconstructed-slides|Reconstructed Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs]]
- Slide-derived themes for `youtube-APh1Vx0oLmQ`: systems, deterministic, infrastructure, emerging, control, plane, autonomous, reliability.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
- `youtube-APh1Vx0oLmQ` — 4 slide-derived text signals
- Slide-derived themes for `youtube-APh1Vx0oLmQ`: systems, deterministic, infrastructure, emerging, control, plane, autonomous, reliability.
- Evidence links for `youtube-APh1Vx0oLmQ`: [[youtube-APh1Vx0oLmQ]], [[youtube-APh1Vx0oLmQ-slides]], [[youtube-APh1Vx0oLmQ-dense-slides]], [[youtube-APh1Vx0oLmQ-reconstructed-slides]]

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

## People
- [[nishant-gupta]]
- [[naman-ahuja]]

## Supporting Slides
- [[youtube-APh1Vx0oLmQ-slides]] — extracted from the related public AI Engineer video.

## Slide Evidence
- Slide-only cropped deck: [[youtube-APh1Vx0oLmQ-dense-slides]] (14 viable slide images).
- Related slide/OCR pages:
- [[youtube-APh1Vx0oLmQ-dense-slides]]
- [[youtube-APh1Vx0oLmQ-reconstructed-slides]]
- [[youtube-APh1Vx0oLmQ-slides]]
- Slide-derived terms: `step`, `reliability`, `infrastructure`, `path`, `time`, `systems`, `state`, `production`, `core`, `model`, `reasoning`, `invalid`, `analysis`, `memory`, `pattern`, `deterministic`, `microservices`, `autonomous`

## Synthesis
### Synthesized Breakdown
# Operating Distributed Inference Systems at Scale ## Conference Context - Date/time: 2026-07-01 · 10:45am-11:05am - Track/room: Inference · Track 9 - Speaker(s): Nishant Gupta, Naman Ahuja - Session type/status: session · confirmed - Track: Inference - Room: Track 9 - Session type: session - Status: confirmed ## Session Description Inference has rapidly become one of the most important infrastructure problems in modern computing. As AI systems evolve into autonomous agents with persistent memory, tool usage, and multi-step reasoning, traditional inference architectures struggle under growing demands for latency, throughput, cost efficiency, and reliability. In this talk, I’ll share lessons from building large-scale elastic compute and AI infrastructure systems powering production workloads. We’ll explore the modern inference stack and the architectural patterns emerging to support next-generation agentic AI systems.

### Speaker And Company Context
- [[nishant-gupta|Nishant Gupta]] — Software Engineer, Tech Lead at [[meta|Meta]].
- [[naman-ahuja|Naman Ahuja]] — Senior Software Engineer at [[meta|Meta]].

### Topics Covered
- [[agent-security]]

### Derived Links And Source Material
- [[youtube-APh1Vx0oLmQ]] — related YouTube source page.
- [[youtube-APh1Vx0oLmQ-slides]] — slide evidence.
- [[youtube-APh1Vx0oLmQ-reconstructed-slides]] — slide evidence.
- [[youtube-APh1Vx0oLmQ-dense-slides]] — slide evidence.

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.