Add June 2025 Community Update

- Introduced a new blog post detailing the latest updates from the llm-d community, including a call for participation in a performance benchmarks survey, the launch of a new YouTube channel, and ways to get involved with the project.

Signed-off-by: Pete Cheslock <[email protected]>

Author: petecheslock

blog/2025-06-18_community_update.md renamed to blog/2025-06-23_community_update.md

@@ -10,12 +10,38 @@ tags: [community, updates, sig-benchmarking]
 hide_table_of_contents: false
 ---
 
-## June 10, 2025
+## June 23rd, 2025
 
 # **llm-d Community Update**
 
 Hey everyone! We've been making great progress with the llm-d project, and I wanted to share some important updates and opportunities to get involved.
 
+## Help Shape Our Performance Benchmarks
+
+The SIG-Benchmarking team is working on documenting real-world use cases and establishing performance expectations for llm-d deployments. To make this as comprehensive as possible, we need your help!  
+
+This survey is being conducted by researchers within Red Hat AI to better understand how organizations are evaluating, deploying, and monitoring GenAI applications in production environments. Your responses will help inform open research, tooling improvements, and best practices for the broader AI community.
+
+:::tip Share Your Use Case
+We've created a [Use Case Survey Form](https://docs.google.com/forms/d/e/1FAIpQLSefWpxlGNMN0NAj_4TzVLfSwTCyAz0gndNtLwoS9mamg5DtXw/viewform) to gather information about your LLM workloads. This will help us:
+- Document common deployment patterns
+- Establish realistic performance baselines
+- Identify optimization opportunities
+- Guide future development priorities
+:::
+
+Your input is invaluable in helping us understand:
+- What models you're deploying
+- Your workload characteristics (input/output lengths, request patterns)
+- Performance requirements and constraints
+- Current challenges and pain points
+
+The survey takes approximately 10 minutes to complete. All responses are confidential and will be used in aggregated, anonymized form only.
+
+As a thank-you, you'll be entered into a raffle to win a pair of Apple AirPods Pro (2nd Gen) upon submission.
+
+<!-- truncate -->
+
 ## New YouTube Channel
 
 We're excited to announce our new YouTube channel! We've been recording our SIG meetings and creating tutorial content to help you get started with llm-d.
@@ -35,27 +61,6 @@ Subscribe to get notified when new videos are posted, presentations, demos, and
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-
-<!-- truncate -->
-
-## Help Shape Our Performance Benchmarks
-
-The SIG-Benchmarking team is working on documenting real-world use cases and establishing performance expectations for llm-d deployments. To make this as comprehensive as possible, we need your help!
-
-:::tip Share Your Use Case
-We've created a [Use Case Survey Form](https://forms.gle/YOUR_FORM_ID) to gather information about your LLM workloads. This will help us:
-- Document common deployment patterns
-- Establish realistic performance baselines
-- Identify optimization opportunities
-- Guide future development priorities
-:::
-
-Your input is invaluable in helping us understand:
-- What models you're deploying
-- Your workload characteristics (input/output lengths, request patterns)
-- Performance requirements and constraints
-- Current challenges and pain points
-
 ## Reminder: Join Our Google Group to Access Project Docs
 
 :::warning Join our Google Group