diff --git a/index.md b/index.md
index ab1fca4863407ca3318958b7eebfbeb181b3c249..42d81d33ed66940f5356174e6fcacd7c5978bf57 100644
--- a/index.md
+++ b/index.md
@@ -1,13 +1,23 @@
 ---
 author: Alexandre Strube
 title: BLABLADOR ![](images/blablador.png){ width=550px }
-subtitle: JSC's experimental Large Language Model server
+subtitle: JSC's Inference Infrastructure
 date: December 4th, 2024
 ---
 
-# Take the slides with you
+## Website
 
-![https://go.fzj.de/2024-12-jsc-colloquium](images/talk-jsc-colloquium.png){ width=500px }
+![https://helmholtz-blablador.fz-juelich.de](images/blablador-qrcode.png){width=450px}
+
+- Play around! 🐶
+
+---
+
+## OUTLINE
+
+- Past
+- Present
+- Future
 
 ---
 
@@ -22,13 +32,17 @@ date: December 4th, 2024
 
 ---
 
+![](images/IMG_6426.mov)
+
+---
+
 # Blablador
 
 ![](images/blablador-screenshot.png)
 
 ---
 
-# Why?
+# Past: Why?
 
 - AI is becoming basic infrastructure
 - Which historically is Open Source
@@ -45,6 +59,10 @@ date: December 4th, 2024
 
 ---
 
+![](images/IMG_6549.jpg)
+
+---
+
 # Why, part 2
 
 - Projects like OpenGPT-X, TrustLLM need a place to run
@@ -54,7 +72,7 @@ date: December 4th, 2024
 
 ---
 
-## Some facts
+## Privacy is our selling point
 
 - No data collection at all. I don't keep ***ANY*** data whatsoever!
     - You can use it AND keep your data private
@@ -75,12 +93,7 @@ date: December 4th, 2024
 
 ---
 
-## usage
-![](images/usage_blablador_web.svg)
-
-- Web UI only
-- API usage wasn't recorded until we moved to a new host, devs still migrating
-- Some healthy usage by tools e.g. B2DROP assistant: Around 400 requests/day (count as a single ip from B2DROP's server)
+![](images/IMG_6579.jpg)
 
 ---
 
@@ -92,14 +105,35 @@ date: December 4th, 2024
 
 ---
 
-# The LLM open ecosystem
+![](images/IMG_6562.jpg)
 
-- If it isn't on huggingface, it doesn't exist
+---
+
+# PRESENT
+
+---
+
+## Usage
+![](images/usage_blablador_web.svg)
+
+- Web UI only
+- API usage wasn't recorded until we moved to a new host, devs still migrating
+- Some healthy usage by tools e.g. B2DROP assistant: Around 400 requests/day (count as a single ip from B2DROP's server)
+
+---
+
+
+# The LLM ecosystem
+
+- For open models: If it isn't on huggingface, it doesn't exist
 - The "open" ecosystem is dominated by a few big players: Meta, Mistral.AI, Google
+- Meta has the best open frontier-level models; but no training data
+- Mistral is a close second - also no training data
+- Google is catching up FAST on closed models (and leaving open behind)
+- AllenAI is catching up and it's open
 - Microsoft has tiny, bad ones (but I wouldn't bet against them)
 - Apple is going their own way + using ChatGPT
 - Twitter/X has Grok-2 for paying customers, Grok-1 is enormous and "old" (from march)
-- Google is catching up FAST on closed models
 - Anthropic is receiving billions from Amazon but Claude is completely closed
 
 ---
@@ -176,10 +210,16 @@ date: December 4th, 2024
 
 # EU AI Act
 
+- "GPAI models present systemic risks when the cumulative amount of compute used for its training is greater than 10^25 floating point operations (FLOPs)"
+- Moore's law has something to say about this
 - TrustLLM and OpenGPT-X will have to comply
     - To be used commercially
 - Research-only models are exempt
-- Bureaucratic shot in the foot: the EU AI Act will make it harder for EU models to compete with US ones
+- Bureaucratic shot in the foot: the EU AI Act will make it harder for EU models to compete internationally
+
+---
+
+![](images/IMG_6553.jpg)
 
 ---
 
@@ -193,6 +233,7 @@ date: December 4th, 2024
 
 - Small cluster inherited from other projects
 - Started small, with three nodes
+- Runs Slurm, has a parallel FS/Storage, uses EasyBuild
 
 ---
 
@@ -215,15 +256,15 @@ date: December 4th, 2024
 
 ---
 
-![Jureca-DC](images/jureca-dc.png)
+## Big models need big hardware
 
----
+- Llama 3.1 405b runs on WestAI nodes
+    - Launched with UNICORE
+- QwQ runs there experimentally
 
-## Website
-
-![https://helmholtz-blablador.fz-juelich.de](images/blablador-qrcode.png){width=450px}
+---
 
-- Play around! 🐶
+![Jureca-DC](images/jureca-dc.png)
 
 ---
 
@@ -318,30 +359,73 @@ date: December 4th, 2024
 
 ---
 
+# FUTURE
+
+---
+
+![Pickle is hungry](images/IMG_6573.jpg)
+
+---
+
 ## Vision for the (near) future
 
-- Blablador as an umbrella for inference
-- Use cases:
-    - LLMs for science
-    - Nasa's Prithvi 3 (currently being trained here)
-    - ESA's upcomping model
-    - Health: Radiology with Aachen Uniklinik
-    - ...
-    - With privacy!
+---
+
+# Blablador, the brand, as an umbrella for *ALL* inference at JSC
+
+---
+
+## JSC Inference umbrella
+
+- Blablador as LLM is the first step
+- Grow to include other types of models for Science and Industry
+
+---
+
+## Use cases so far
+
+- LLMs for science (e.g. OpenGPT-X, TrustLLM, CosmoSage)
+- Ancillary models stemming from [Prithvi-EO-2.0](https://www.earthdata.nasa.gov/dashboard/labs/earthinsights/explore) (300M and 600M), EO foundation model jointly developed by IBM, NASA, and JSC: Release tomorrow, Dec. 5th.
+  - Weather (big) and geospatial downstreams tasks
+- NASA's [Helio](https://arxiv.org/abs/2410.10841) (downstream tasks in Heliophysics)
+- JSC/ESA/DLR's upcomping model [FAST-EO](https://eo4society.esa.int/projects/fast-eo/)
+- Health: Radiology with Aachen Uniklinik
+- JSC/Cern/ECMWF's [Atmorep](https://www.atmorep.org)
+- Open models:
+    - Pango weather
+    - Graphcast
+- With privacy!
+
+---
+
+![What do we have to do?](images/IMG_6551.jpg)
 
 ---
 
 ## Todo
 
-- Multi-modal models (text+image, text+audio, etc)
+- Multi-modality: video, audio, text, images
 - Auto-RAG with privacy:
     - Easy to do badly. Hard to do securely.
+- Everything from the previous slide
+
+---
+
+## Potato
+
+![](images/IMG_6561.jpg){ width=350px }
+
+---
+
+# Take the slides with you
+
+![https://go.fzj.de/2024-12-jsc-colloquium](images/talk-jsc-colloquium.png){ width=500px }
 
 ---
 
 ## Questions?
 
-![](images/blablador-questions.jpg)
+![No dogs have been harmed for this presentation](images/blablador-questions.jpg){ width=500px }
 
 ---
 
@@ -349,6 +433,14 @@ date: December 4th, 2024
 
 ---
 
+
+## LLMOps resource
+
+A No-BS Database of How Companies Actually Deploy LLMs in Production: 300+ Technical Case Studies, Including Self-Hosted LLMs in [https://www.zenml.io/llmops-database](https://www.zenml.io/llmops-database)
+
+---
+
+
 > "I think the complexity of Python package management holds down AI application development more than is widely appreciated. AI faces multiple bottlenecks — we need more GPUs, better algorithms, cleaner data in large quantities. But when I look at the day-to-day work of application builders, there’s one additional bottleneck that I think is underappreciated: The time spent wrestling with version management is an inefficiency I hope we can reduce. "
 
 Andrew Ng, 28.02.2024
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diff --git a/public/index.html b/public/index.html
index f8fb30aa8d870a475c58ec6e3a101e7e8d4a43e8..a046cd1bc965424a7bb09ab89537e0c2bac700c4 100644
--- a/public/index.html
+++ b/public/index.html
@@ -226,19 +226,32 @@
 <section id="title-slide">
   <h1 class="title">BLABLADOR <img data-src="images/blablador.png"
 width="550" /></h1>
-  <p class="subtitle">JSC’s experimental Large Language Model server</p>
+  <p class="subtitle">JSC’s Inference Infrastructure</p>
   <p class="author">Alexandre Strube</p>
   <p class="date">December 4th, 2024</p>
 </section>
 
-<section id="take-the-slides-with-you" class="slide level1">
-<h1>Take the slides with you</h1>
+<section class="slide level1">
+
+<h2 id="website">Website</h2>
 <figure>
-<img data-src="images/talk-jsc-colloquium.png" width="500"
-alt="https://go.fzj.de/2024-12-jsc-colloquium" />
+<img data-src="images/blablador-qrcode.png" width="450"
+alt="https://helmholtz-blablador.fz-juelich.de" />
 <figcaption
-aria-hidden="true">https://go.fzj.de/2024-12-jsc-colloquium</figcaption>
+aria-hidden="true">https://helmholtz-blablador.fz-juelich.de</figcaption>
 </figure>
+<ul>
+<li class="fragment">Play around! 🐶</li>
+</ul>
+</section>
+<section class="slide level1">
+
+<h2 id="outline">OUTLINE</h2>
+<ul>
+<li class="fragment">Past</li>
+<li class="fragment">Present</li>
+<li class="fragment">Future</li>
+</ul>
 </section>
 <section id="blablador" class="slide level1">
 <h1>Blablador</h1>
@@ -255,12 +268,17 @@ rank, some good, some awful)</li>
 and training code.</li>
 </ul>
 </section>
+<section class="slide level1">
+
+<p><video data-src="images/IMG_6426.mov" controls=""><a
+href="images/IMG_6426.mov">Video</a></video></p>
+</section>
 <section id="blablador-1" class="slide level1">
 <h1>Blablador</h1>
 <p><img data-src="images/blablador-screenshot.png" /></p>
 </section>
-<section id="why" class="slide level1">
-<h1>Why?</h1>
+<section id="past-why" class="slide level1">
+<h1>Past: Why?</h1>
 <ul>
 <li class="fragment">AI is becoming basic infrastructure</li>
 <li class="fragment">Which historically is Open Source</li>
@@ -280,6 +298,10 @@ target 🎯💨</li>
 </ul></li>
 </ul>
 </section>
+<section class="slide level1">
+
+<p><img data-src="images/IMG_6549.jpg" /></p>
+</section>
 <section id="why-part-2" class="slide level1">
 <h1>Why, part 2</h1>
 <ul>
@@ -294,7 +316,7 @@ run</li>
 </section>
 <section class="slide level1">
 
-<h2 id="some-facts">Some facts</h2>
+<h2 id="privacy-is-our-selling-point">Privacy is our selling point</h2>
 <ul>
 <li class="fragment">No data collection at all. I don’t keep
 <strong><em>ANY</em></strong> data whatsoever!
@@ -324,15 +346,7 @@ it, contact me!</em></strong></li>
 </section>
 <section class="slide level1">
 
-<h2 id="usage">usage</h2>
-<p><img data-src="images/usage_blablador_web.svg" /></p>
-<ul>
-<li class="fragment">Web UI only</li>
-<li class="fragment">API usage wasn’t recorded until we moved to a new
-host, devs still migrating</li>
-<li class="fragment">Some healthy usage by tools e.g. B2DROP assistant:
-Around 400 requests/day (count as a single ip from B2DROP’s server)</li>
-</ul>
+<p><img data-src="images/IMG_6579.jpg" /></p>
 </section>
 <section class="slide level1">
 
@@ -345,23 +359,49 @@ Blablador’s API (VSCode’s Continue.dev, LangChain, etc)</li>
 than unique visits/day)</li>
 </ul>
 </section>
-<section id="the-llm-open-ecosystem" class="slide level1">
-<h1>The LLM open ecosystem</h1>
+<section class="slide level1">
+
+<p><img data-src="images/IMG_6562.jpg" /></p>
+</section>
+<section id="present" class="slide level1">
+<h1>PRESENT</h1>
+</section>
+<section class="slide level1">
+
+<h2 id="usage">Usage</h2>
+<p><img data-src="images/usage_blablador_web.svg" /></p>
+<ul>
+<li class="fragment">Web UI only</li>
+<li class="fragment">API usage wasn’t recorded until we moved to a new
+host, devs still migrating</li>
+<li class="fragment">Some healthy usage by tools e.g. B2DROP assistant:
+Around 400 requests/day (count as a single ip from B2DROP’s server)</li>
+</ul>
+</section>
+<section id="the-llm-ecosystem" class="slide level1">
+<h1>The LLM ecosystem</h1>
 <ul>
-<li class="fragment">If it isn’t on huggingface, it doesn’t exist</li>
+<li class="fragment">For open models: If it isn’t on huggingface, it
+doesn’t exist</li>
 <li class="fragment">The “open” ecosystem is dominated by a few big
 players: Meta, Mistral.AI, Google</li>
+<li class="fragment">Meta has the best open frontier-level models; but
+no training data</li>
+<li class="fragment">Mistral is a close second - also no training
+data</li>
+<li class="fragment">Google is catching up FAST on closed models (and
+leaving open behind)</li>
+<li class="fragment">AllenAI is catching up and it’s open</li>
 <li class="fragment">Microsoft has tiny, bad ones (but I wouldn’t bet
 against them)</li>
 <li class="fragment">Apple is going their own way + using ChatGPT</li>
 <li class="fragment">Twitter/X has Grok-2 for paying customers, Grok-1
 is enormous and “old” (from march)</li>
-<li class="fragment">Google is catching up FAST on closed models</li>
 <li class="fragment">Anthropic is receiving billions from Amazon but
 Claude is completely closed</li>
 </ul>
 </section>
-<section id="the-llm-ecosystem" class="slide level1">
+<section id="the-llm-ecosystem-1" class="slide level1">
 <h1>The LLM ecosystem</h1>
 <ul>
 <li class="fragment">Evaluation is HARD
@@ -461,15 +501,23 @@ MIT</li>
 <section id="eu-ai-act" class="slide level1">
 <h1>EU AI Act</h1>
 <ul>
+<li class="fragment">“GPAI models present systemic risks when the
+cumulative amount of compute used for its training is greater than 10^25
+floating point operations (FLOPs)”</li>
+<li class="fragment">Moore’s law has something to say about this</li>
 <li class="fragment">TrustLLM and OpenGPT-X will have to comply
 <ul>
 <li class="fragment">To be used commercially</li>
 </ul></li>
 <li class="fragment">Research-only models are exempt</li>
 <li class="fragment">Bureaucratic shot in the foot: the EU AI Act will
-make it harder for EU models to compete with US ones</li>
+make it harder for EU models to compete internationally</li>
 </ul>
 </section>
+<section class="slide level1">
+
+<p><img data-src="images/IMG_6553.jpg" /></p>
+</section>
 <section id="juelich-supercomputing-centre" class="slide level1">
 <h1>Juelich Supercomputing Centre</h1>
 <figure>
@@ -482,6 +530,8 @@ make it harder for EU models to compete with US ones</li>
 <ul>
 <li class="fragment">Small cluster inherited from other projects</li>
 <li class="fragment">Started small, with three nodes</li>
+<li class="fragment">Runs Slurm, has a parallel FS/Storage, uses
+EasyBuild</li>
 </ul>
 </section>
 <section class="slide level1">
@@ -516,23 +566,21 @@ website</li>
 </section>
 <section class="slide level1">
 
-<figure>
-<img data-src="images/jureca-dc.png" alt="Jureca-DC" />
-<figcaption aria-hidden="true">Jureca-DC</figcaption>
-</figure>
+<h2 id="big-models-need-big-hardware">Big models need big hardware</h2>
+<ul>
+<li class="fragment">Llama 3.1 405b runs on WestAI nodes
+<ul>
+<li class="fragment">Launched with UNICORE</li>
+</ul></li>
+<li class="fragment">QwQ runs there experimentally</li>
+</ul>
 </section>
 <section class="slide level1">
 
-<h2 id="website">Website</h2>
 <figure>
-<img data-src="images/blablador-qrcode.png" width="450"
-alt="https://helmholtz-blablador.fz-juelich.de" />
-<figcaption
-aria-hidden="true">https://helmholtz-blablador.fz-juelich.de</figcaption>
+<img data-src="images/jureca-dc.png" alt="Jureca-DC" />
+<figcaption aria-hidden="true">Jureca-DC</figcaption>
 </figure>
-<ul>
-<li class="fragment">Play around! 🐶</li>
-</ul>
 </section>
 <section class="slide level1">
 
@@ -671,39 +719,106 @@ on their IEK7Cloud</li>
 <p><a
 href="https://github.com/haesleinhuepf/bia-bob/blob/main/README.md">https://github.com/haesleinhuepf/bia-bob</a></p>
 </section>
+<section id="future" class="slide level1">
+<h1>FUTURE</h1>
+</section>
+<section class="slide level1">
+
+<figure>
+<img data-src="images/IMG_6573.jpg" alt="Pickle is hungry" />
+<figcaption aria-hidden="true">Pickle is hungry</figcaption>
+</figure>
+</section>
 <section class="slide level1">
 
 <h2 id="vision-for-the-near-future">Vision for the (near) future</h2>
+</section>
+<section
+id="blablador-the-brand-as-an-umbrella-for-all-inference-at-jsc"
+class="slide level1">
+<h1>Blablador, the brand, as an umbrella for <em>ALL</em> inference at
+JSC</h1>
+</section>
+<section class="slide level1">
+
+<h2 id="jsc-inference-umbrella">JSC Inference umbrella</h2>
 <ul>
-<li class="fragment">Blablador as an umbrella for inference</li>
-<li class="fragment">Use cases:
+<li class="fragment">Blablador as LLM is the first step</li>
+<li class="fragment">Grow to include other types of models for Science
+and Industry</li>
+</ul>
+</section>
+<section class="slide level1">
+
+<h2 id="use-cases-so-far">Use cases so far</h2>
+<ul>
+<li class="fragment">LLMs for science (e.g. OpenGPT-X, TrustLLM,
+CosmoSage)</li>
+<li class="fragment">Ancillary models stemming from <a
+href="https://www.earthdata.nasa.gov/dashboard/labs/earthinsights/explore">Prithvi-EO-2.0</a>
+(300M and 600M), EO foundation model jointly developed by IBM, NASA, and
+JSC: Release tomorrow, Dec. 5th.
 <ul>
-<li class="fragment">LLMs for science</li>
-<li class="fragment">Nasa’s Prithvi 3 (currently being trained
-here)</li>
-<li class="fragment">ESA’s upcomping model</li>
+<li class="fragment">Weather (big) and geospatial downstreams tasks</li>
+</ul></li>
+<li class="fragment">NASA’s <a
+href="https://arxiv.org/abs/2410.10841">Helio</a> (downstream tasks in
+Heliophysics)</li>
+<li class="fragment">JSC/ESA/DLR’s upcomping model <a
+href="https://eo4society.esa.int/projects/fast-eo/">FAST-EO</a></li>
 <li class="fragment">Health: Radiology with Aachen Uniklinik</li>
-<li class="fragment">…</li>
-<li class="fragment">With privacy!</li>
+<li class="fragment">JSC/Cern/ECMWF’s <a
+href="https://www.atmorep.org">Atmorep</a></li>
+<li class="fragment">Open models:
+<ul>
+<li class="fragment">Pango weather</li>
+<li class="fragment">Graphcast</li>
 </ul></li>
+<li class="fragment">With privacy!</li>
 </ul>
 </section>
 <section class="slide level1">
 
+<figure>
+<img data-src="images/IMG_6551.jpg" alt="What do we have to do?" />
+<figcaption aria-hidden="true">What do we have to do?</figcaption>
+</figure>
+</section>
+<section class="slide level1">
+
 <h2 id="todo">Todo</h2>
 <ul>
-<li class="fragment">Multi-modal models (text+image, text+audio,
-etc)</li>
+<li class="fragment">Multi-modality: video, audio, text, images</li>
 <li class="fragment">Auto-RAG with privacy:
 <ul>
 <li class="fragment">Easy to do badly. Hard to do securely.</li>
 </ul></li>
+<li class="fragment">Everything from the previous slide</li>
 </ul>
 </section>
 <section class="slide level1">
 
+<h2 id="potato">Potato</h2>
+<p><img data-src="images/IMG_6561.jpg" width="350" /></p>
+</section>
+<section id="take-the-slides-with-you" class="slide level1">
+<h1>Take the slides with you</h1>
+<figure>
+<img data-src="images/talk-jsc-colloquium.png" width="500"
+alt="https://go.fzj.de/2024-12-jsc-colloquium" />
+<figcaption
+aria-hidden="true">https://go.fzj.de/2024-12-jsc-colloquium</figcaption>
+</figure>
+</section>
+<section class="slide level1">
+
 <h2 id="questions">Questions?</h2>
-<p><img data-src="images/blablador-questions.jpg" /></p>
+<figure>
+<img data-src="images/blablador-questions.jpg" width="500"
+alt="No dogs have been harmed for this presentation" />
+<figcaption aria-hidden="true">No dogs have been harmed for this
+presentation</figcaption>
+</figure>
 </section>
 <section class="slide level1">
 
@@ -711,6 +826,13 @@ etc)</li>
 </section>
 <section class="slide level1">
 
+<h2 id="llmops-resource">LLMOps resource</h2>
+<p>A No-BS Database of How Companies Actually Deploy LLMs in Production:
+300+ Technical Case Studies, Including Self-Hosted LLMs in <a
+href="https://www.zenml.io/llmops-database">https://www.zenml.io/llmops-database</a></p>
+</section>
+<section class="slide level1">
+
 <blockquote>
 <p>“I think the complexity of Python package management holds down AI
 application development more than is widely appreciated. AI faces