AI-BoM is becoming a bigger discussion topic and we wanted to use @rootconf with specific focus on AI to create a space to have that discussion. I will be facilitating the BOF along with @viveksahu_26
Details :
https://t.co/HCtylZrcYx
- AIBoM is a compliance requirement
- AIBoM is also a technical control that can help us with inventory
- and many more other usecases.
However as much as its prospects are, there is more confusion then clarity around this. Much of it comes from contrasting details. so this BoF hopes to bring people together to discuss and identify common interests and allow like minded folks a space to keep exploring.
1/4
An agent that works in a demo still needs a platform that works under load.
At Rootconf 2026, @phonepe and @razorpay share two perspectives: scaling AI-assisted code review, and operating long-running agents across tenants. 🧵
2/4 More generated code. A growing review bottleneck.
@tushar_knaik, Software Architect at PhonePe, shares how Arnold evolved beyond a simple AI loop into an async, distributed code-review pipeline, with humans still in the loop.
1/4
AI can shorten infrastructure work. How do you check the result?
Two Rootconf talks connect Kubernetes upgrade preparation with incident investigation: Adithya Parthasarthy from @bookingcom and Hemant Kumar from @One2NC
2/4 3 weeks to 3 hours: Adithya Parthasarthy shares @bookingcom's AI co-pilot for Kubernetes upgrade preparation.
Changelogs, dependencies and compatibility checks across 50+ repos and 1,000+ services, with human review in the loop.
We are thrilled to host a special meetup, "Women in Systems", at Microsoft (Bellandur) for our November edition on the 28th, featuring lightning talks as well as a panel discussion.
This meetup is open to everyone, so feel free to register!
https://t.co/X2MgGLfjbH
@rootconf@vivekkalyanaran@AloshDenny 5/5
Training failures and inference bottlenecks: two reasons to look beyond “the GPU is busy”.
Meet your peers at Rootconf 2026. Hang out in the community!
20–21 November · TERI, Domlur, Bengaluru
Also online via livestream.
Programme: https://t.co/ePJbQ4hxgU
@rootconf@vivekkalyanaran 4/5
Vivek’s A100 experiments show 1.38× faster decoding at matched accuracy. Put the index back in GPU memory, and the advantage disappears.
@AloshDenny asks whether training is doing the intended work. Vivek measures what limits inference, and where an optimisation helps.
@rootconf 3/5
At a million tokens, what limits decoding when the KV cache moves to host RAM?
@vivekkalyanaran examines the index scan crossing PCIe, and tests whether reading fewer bits can make the decode step faster.
2/5
48 GPU hours. Just 10% of the intended data.
Alosh Denny traces an LLM training run through shared-state failures and missing checkpoints, and shares the checks he now runs before committing compute.
What would tell you that a running job is doing the wrong work?
1/5
Where is your GPU time going?
A training run repeatedly processes only a tenth of its dataset. A long-context inference step spends its time moving data.
Two ideas/projects at @rootconf examine what happens when you measure the work your system actually does. 🧵
2/3
20 Nov: Platforms for AI Private AI, agent scale and security, evaluation, and reliable model serving.
21 Nov: AI for platforms Code review, SRE agents, Kubernetes upgrades and query performance.
Implementations, failures and engineering trade-offs.
1/3
New dates, talks selected.
Rootconf 2026 moves to 20 & 21 November.
64 submissions, reviewed and developed with community editors and reviewers.
Two days examining how we build platforms for AI, and use AI to operate platforms. 🧵
2/5
10–11 AM IST · Swetha Ashok from @SahajSoftware will speak about how a production assistant’s agents arrived at conflicting answers, and how shared understanding and explicit state helped.
@SahajSoftware@yashgandhi_@OrcaSheets 5/5
Watching online? The live stream is FREE for The Fifth Elephant annual members.
https://t.co/GkS1RIzGZT
Thank you @ravimbalgi and @neosrix for the editorial work behind these sessions.
@SahajSoftware 3/5
1:30–2:30 PM IST · @yashgandhi_ shares about local analytics, a transformation language analysts won't learn, and an agent that turns plain-English requests into validated workflows, in his talk "“Big data, mighty machines”. @OrcaSheets