Ivan Nardini
@ivnardini.bsky.social
DevRel Engineer @googlecloud in 🌉
In love with minds, souls, Rock 🤟🏻 and Photography 📷
My religion is LARMATS.
In love with minds, souls, Rock 🤟🏻 and Photography 📷
My religion is LARMATS.
I’m skipping this event, but you're in good hands.
Yemi Falokun, a Global AI/ML Partner SA, will lead a workshop on AI agent engineering challenges with Meta and Arize AI.
If you're in the Bay Area, check it out: luma.com/gcpmetaariz...
Yemi Falokun, a Global AI/ML Partner SA, will lead a workshop on AI agent engineering challenges with Meta and Arize AI.
If you're in the Bay Area, check it out: luma.com/gcpmetaariz...
Agents in Action: Hands-on Workshop with Google Cloud, Meta & Arize AI · Luma
Join Google Cloud, Meta, and Arize AI for an advanced hands-on workshop exploring how to build, evaluate, and optimize agents and applications. In this…
luma.com
November 12, 2025 at 5:00 PM
I’m skipping this event, but you're in good hands.
Yemi Falokun, a Global AI/ML Partner SA, will lead a workshop on AI agent engineering challenges with Meta and Arize AI.
If you're in the Bay Area, check it out: luma.com/gcpmetaariz...
Yemi Falokun, a Global AI/ML Partner SA, will lead a workshop on AI agent engineering challenges with Meta and Arize AI.
If you're in the Bay Area, check it out: luma.com/gcpmetaariz...
Many have asked about agent memory and its differences from RAG.
We just released a whitepaper, "Context Engineering: Sessions and Memory," detailing how memory evolves from raw conversations to curated agent knowledge.
You can find the paper here: lnkd.in/euud4BUB
We just released a whitepaper, "Context Engineering: Sessions and Memory," detailing how memory evolves from raw conversations to curated agent knowledge.
You can find the paper here: lnkd.in/euud4BUB
November 12, 2025 at 10:11 AM
Many have asked about agent memory and its differences from RAG.
We just released a whitepaper, "Context Engineering: Sessions and Memory," detailing how memory evolves from raw conversations to curated agent knowledge.
You can find the paper here: lnkd.in/euud4BUB
We just released a whitepaper, "Context Engineering: Sessions and Memory," detailing how memory evolves from raw conversations to curated agent knowledge.
You can find the paper here: lnkd.in/euud4BUB
TIME to upgrade: ADK introduces Visual Agent Builder 🚀
Last week, in the latest ADK release (v1.18.0), the team introduced a low-code Visual Agent Builder, along with new observability and testing features.
Release notes and a blog from Thomas Chong about the visual builder in the 🧵
Last week, in the latest ADK release (v1.18.0), the team introduced a low-code Visual Agent Builder, along with new observability and testing features.
Release notes and a blog from Thomas Chong about the visual builder in the 🧵
November 10, 2025 at 7:00 PM
TIME to upgrade: ADK introduces Visual Agent Builder 🚀
Last week, in the latest ADK release (v1.18.0), the team introduced a low-code Visual Agent Builder, along with new observability and testing features.
Release notes and a blog from Thomas Chong about the visual builder in the 🧵
Last week, in the latest ADK release (v1.18.0), the team introduced a low-code Visual Agent Builder, along with new observability and testing features.
Release notes and a blog from Thomas Chong about the visual builder in the 🧵
Vertex AI Agent Engine adds Memory Revisions!
Trusting an agent's memory is tricky. Is chat info verified? Without history, it's guess. Memory Revisions (preview) helps with version control through snapshots for each change.
Code & doc in 🧵
Trusting an agent's memory is tricky. Is chat info verified? Without history, it's guess. Memory Revisions (preview) helps with version control through snapshots for each change.
Code & doc in 🧵
November 7, 2025 at 4:00 PM
Vertex AI Agent Engine adds Memory Revisions!
Trusting an agent's memory is tricky. Is chat info verified? Without history, it's guess. Memory Revisions (preview) helps with version control through snapshots for each change.
Code & doc in 🧵
Trusting an agent's memory is tricky. Is chat info verified? Without history, it's guess. Memory Revisions (preview) helps with version control through snapshots for each change.
Code & doc in 🧵
🚢 The New Vertex AI Agent Builder is OUT!
Vertex AI launched major updates to Vertex AI Agent Builder for easier deployment and scaling agents in production.
I'm working with the Agent Engine team to release content on our new features, starting today with Memory Bank. Stay tuned!
Vertex AI launched major updates to Vertex AI Agent Builder for easier deployment and scaling agents in production.
I'm working with the Agent Engine team to release content on our new features, starting today with Memory Bank. Stay tuned!
November 6, 2025 at 5:51 PM
🚢 The New Vertex AI Agent Builder is OUT!
Vertex AI launched major updates to Vertex AI Agent Builder for easier deployment and scaling agents in production.
I'm working with the Agent Engine team to release content on our new features, starting today with Memory Bank. Stay tuned!
Vertex AI launched major updates to Vertex AI Agent Builder for easier deployment and scaling agents in production.
I'm working with the Agent Engine team to release content on our new features, starting today with Memory Bank. Stay tuned!
Spent some time last week benchmarking LLMs on Vertex AI. I couldn't find a tutorial on using the @vllm_project bench library with Vertex, so I made one.
It's a walkthrough that compares Llama 4 (baseline vs. EAGLE) on 8x H100s and includes the code patch needed to make vLLM work.
Hope it helps! 👇
It's a walkthrough that compares Llama 4 (baseline vs. EAGLE) on 8x H100s and includes the code patch needed to make vLLM work.
Hope it helps! 👇
November 3, 2025 at 4:30 PM
Spent some time last week benchmarking LLMs on Vertex AI. I couldn't find a tutorial on using the @vllm_project bench library with Vertex, so I made one.
It's a walkthrough that compares Llama 4 (baseline vs. EAGLE) on 8x H100s and includes the code patch needed to make vLLM work.
Hope it helps! 👇
It's a walkthrough that compares Llama 4 (baseline vs. EAGLE) on 8x H100s and includes the code patch needed to make vLLM work.
Hope it helps! 👇
🔥 Benchmarking a new optimization integrated by the Model Garden team for serving LLMs on Vertex AI.
Can't wait to share!
#VertexAI #LLMs #Benchmarking #Optimization #ModelGarden #LLMServing
Can't wait to share!
#VertexAI #LLMs #Benchmarking #Optimization #ModelGarden #LLMServing
October 30, 2025 at 5:41 AM
🔥 Benchmarking a new optimization integrated by the Model Garden team for serving LLMs on Vertex AI.
Can't wait to share!
#VertexAI #LLMs #Benchmarking #Optimization #ModelGarden #LLMServing
Can't wait to share!
#VertexAI #LLMs #Benchmarking #Optimization #ModelGarden #LLMServing
Another week, another episode of the Agent Factory podcast!
This time, Amit and I welcomed a special guest: Ravin Kumar from Google DeepMind. He shared insights on building open models with agentic capabilities.
Stay tuned! The episode will soon be on the Google Cloud Tech YouTube channel👇
This time, Amit and I welcomed a special guest: Ravin Kumar from Google DeepMind. He shared insights on building open models with agentic capabilities.
Stay tuned! The episode will soon be on the Google Cloud Tech YouTube channel👇
October 28, 2025 at 9:00 PM
Another week, another episode of the Agent Factory podcast!
This time, Amit and I welcomed a special guest: Ravin Kumar from Google DeepMind. He shared insights on building open models with agentic capabilities.
Stay tuned! The episode will soon be on the Google Cloud Tech YouTube channel👇
This time, Amit and I welcomed a special guest: Ravin Kumar from Google DeepMind. He shared insights on building open models with agentic capabilities.
Stay tuned! The episode will soon be on the Google Cloud Tech YouTube channel👇
Since the beginning of the year, I've wanted to dedicate time on some content about LLM inference in a way that was accessible to everyone. Today I'm excited to launch the 1st learning path on LLM inference, built with NVIDIA!
Check out the course and blog in the 🧵 And stay tuned...more is coming!
Check out the course and blog in the 🧵 And stay tuned...more is coming!
October 27, 2025 at 3:33 PM
Since the beginning of the year, I've wanted to dedicate time on some content about LLM inference in a way that was accessible to everyone. Today I'm excited to launch the 1st learning path on LLM inference, built with NVIDIA!
Check out the course and blog in the 🧵 And stay tuned...more is coming!
Check out the course and blog in the 🧵 And stay tuned...more is coming!
ADK just released v1.17.0!
The team rolled out features focused on secure code execution, stateful debugging, and better DevX.
Check out the full release notes in 🧵. And keep an eye on the repo for the next ADK community call!
The team rolled out features focused on secure code execution, stateful debugging, and better DevX.
Check out the full release notes in 🧵. And keep an eye on the repo for the next ADK community call!
October 22, 2025 at 9:35 PM
ADK just released v1.17.0!
The team rolled out features focused on secure code execution, stateful debugging, and better DevX.
Check out the full release notes in 🧵. And keep an eye on the repo for the next ADK community call!
The team rolled out features focused on secure code execution, stateful debugging, and better DevX.
Check out the full release notes in 🧵. And keep an eye on the repo for the next ADK community call!
In the upcoming webinar, together with Alex Notov from @AnthropicAI we're building a complete multi-agent system, exploring the key protocols (MCP & A2A) and how to scale agents using Claude on Vertex AI Agent Engine.
RVSP and tutorial in the 🧵
RVSP and tutorial in the 🧵
October 21, 2025 at 4:30 PM
In the upcoming webinar, together with Alex Notov from @AnthropicAI we're building a complete multi-agent system, exploring the key protocols (MCP & A2A) and how to scale agents using Claude on Vertex AI Agent Engine.
RVSP and tutorial in the 🧵
RVSP and tutorial in the 🧵
Vertex AI Agent Engine is in the Cloud Foundation Fabric!
We launched a Terraform module for agent deployment on Vertex AI, initially needing a local Python script and GCS uploads.
The new blueprint automates agent serialization and packaging during the Terraform apply cycle.
Link in the 🧵
We launched a Terraform module for agent deployment on Vertex AI, initially needing a local Python script and GCS uploads.
The new blueprint automates agent serialization and packaging during the Terraform apply cycle.
Link in the 🧵
October 20, 2025 at 4:19 PM
Vertex AI Agent Engine is in the Cloud Foundation Fabric!
We launched a Terraform module for agent deployment on Vertex AI, initially needing a local Python script and GCS uploads.
The new blueprint automates agent serialization and packaging during the Terraform apply cycle.
Link in the 🧵
We launched a Terraform module for agent deployment on Vertex AI, initially needing a local Python script and GCS uploads.
The new blueprint automates agent serialization and packaging during the Terraform apply cycle.
Link in the 🧵
This is why I'm excited about Google Cloud's agent builder stack!
Building multi-agent systems using various models and frameworks can be challenging. So today I spent some time on what you can build and deploy with ADK, MCP, A2A, Agent Engine, and Vertex AI.
Full tutorial dropping soon!
Building multi-agent systems using various models and frameworks can be challenging. So today I spent some time on what you can build and deploy with ADK, MCP, A2A, Agent Engine, and Vertex AI.
Full tutorial dropping soon!
October 19, 2025 at 6:57 PM
This is why I'm excited about Google Cloud's agent builder stack!
Building multi-agent systems using various models and frameworks can be challenging. So today I spent some time on what you can build and deploy with ADK, MCP, A2A, Agent Engine, and Vertex AI.
Full tutorial dropping soon!
Building multi-agent systems using various models and frameworks can be challenging. So today I spent some time on what you can build and deploy with ADK, MCP, A2A, Agent Engine, and Vertex AI.
Full tutorial dropping soon!
🚀 vLLM on TPU just got a massive upgrade!
Google and vLLM announced a new backend uses tpu-inference for efficient PyTorch and JAX models on TPUs.
Check out the full blog and try it on Vertex AI with the new vLLM TPU container!
Google and vLLM announced a new backend uses tpu-inference for efficient PyTorch and JAX models on TPUs.
Check out the full blog and try it on Vertex AI with the new vLLM TPU container!
October 16, 2025 at 9:00 PM
🚀 vLLM on TPU just got a massive upgrade!
Google and vLLM announced a new backend uses tpu-inference for efficient PyTorch and JAX models on TPUs.
Check out the full blog and try it on Vertex AI with the new vLLM TPU container!
Google and vLLM announced a new backend uses tpu-inference for efficient PyTorch and JAX models on TPUs.
Check out the full blog and try it on Vertex AI with the new vLLM TPU container!
This morning, I checked out Vertex AI docs and was impressed by the open-source models as APIs.
Model as a Service (MaaS) gives access to large open models via a managed, serverless API, removing the need for your infrastructure.
Check the new documentation in 🧵 to learn more
Model as a Service (MaaS) gives access to large open models via a managed, serverless API, removing the need for your infrastructure.
Check the new documentation in 🧵 to learn more
October 16, 2025 at 5:30 PM
This morning, I checked out Vertex AI docs and was impressed by the open-source models as APIs.
Model as a Service (MaaS) gives access to large open models via a managed, serverless API, removing the need for your infrastructure.
Check the new documentation in 🧵 to learn more
Model as a Service (MaaS) gives access to large open models via a managed, serverless API, removing the need for your infrastructure.
Check the new documentation in 🧵 to learn more
Can you use Agent Engine services on GKE or Cloud Run? Yes! You can combine managed services like memory bank with your preferred runtime.
Check out the two new tutorials in 🧵 on building AI agents using the Agent Development Kit (ADK) + Vertex AI Agent Engine for Sessions & Memory.
Check out the two new tutorials in 🧵 on building AI agents using the Agent Development Kit (ADK) + Vertex AI Agent Engine for Sessions & Memory.
October 16, 2025 at 3:00 PM
Can you use Agent Engine services on GKE or Cloud Run? Yes! You can combine managed services like memory bank with your preferred runtime.
Check out the two new tutorials in 🧵 on building AI agents using the Agent Development Kit (ADK) + Vertex AI Agent Engine for Sessions & Memory.
Check out the two new tutorials in 🧵 on building AI agents using the Agent Development Kit (ADK) + Vertex AI Agent Engine for Sessions & Memory.
🚀 Deploying agents on Vertex AI Agent Engine with Terraform!
Vertex AI launched a Terraform resource to deploy agents using custom classes or agentic frameworks like ADK.
Check out the notebook and blog post for the full code and a step-by-step guide in the 🧵
Vertex AI launched a Terraform resource to deploy agents using custom classes or agentic frameworks like ADK.
Check out the notebook and blog post for the full code and a step-by-step guide in the 🧵
October 15, 2025 at 3:00 PM
🚀 Deploying agents on Vertex AI Agent Engine with Terraform!
Vertex AI launched a Terraform resource to deploy agents using custom classes or agentic frameworks like ADK.
Check out the notebook and blog post for the full code and a step-by-step guide in the 🧵
Vertex AI launched a Terraform resource to deploy agents using custom classes or agentic frameworks like ADK.
Check out the notebook and blog post for the full code and a step-by-step guide in the 🧵
We've had many questions about how Vertex AI Memory Bank and ADK create personalized agents.
If you have time today, watch this video for a full guide on building AI agents with memory using Google's ADK and Vertex AI Memory Bank.
Link: www.youtube.com/watch?v=sMt...
If you have time today, watch this video for a full guide on building AI agents with memory using Google's ADK and Vertex AI Memory Bank.
Link: www.youtube.com/watch?v=sMt...
How to build AI agents with memory
Join Google's Sita Lakshmi Sangameswaran and Kimberly Milam, the tech lead for Vertex AI Memory Bank, as they walk you through the complete playbook for buil...
www.youtube.com
October 12, 2025 at 7:33 PM
We've had many questions about how Vertex AI Memory Bank and ADK create personalized agents.
If you have time today, watch this video for a full guide on building AI agents with memory using Google's ADK and Vertex AI Memory Bank.
Link: www.youtube.com/watch?v=sMt...
If you have time today, watch this video for a full guide on building AI agents with memory using Google's ADK and Vertex AI Memory Bank.
Link: www.youtube.com/watch?v=sMt...
🗓️ SAVE THE DATE: ADK Community Call #1 is coming!
Join us next week for the 1st ADK community call! In this 1-hour session, we'll share the technical roadmap, address technical questions and discuss contributions.
🗓️ Date: October 15, 2025
⏰ Time: 9:30 AM - 10:30 AM PST
🔗 Virtual (links in 🧵)
Join us next week for the 1st ADK community call! In this 1-hour session, we'll share the technical roadmap, address technical questions and discuss contributions.
🗓️ Date: October 15, 2025
⏰ Time: 9:30 AM - 10:30 AM PST
🔗 Virtual (links in 🧵)
October 10, 2025 at 5:21 PM
🗓️ SAVE THE DATE: ADK Community Call #1 is coming!
Join us next week for the 1st ADK community call! In this 1-hour session, we'll share the technical roadmap, address technical questions and discuss contributions.
🗓️ Date: October 15, 2025
⏰ Time: 9:30 AM - 10:30 AM PST
🔗 Virtual (links in 🧵)
Join us next week for the 1st ADK community call! In this 1-hour session, we'll share the technical roadmap, address technical questions and discuss contributions.
🗓️ Date: October 15, 2025
⏰ Time: 9:30 AM - 10:30 AM PST
🔗 Virtual (links in 🧵)
🚀 Deploying open models with Terraform on Vertex AI!
Vertex AI Model Garden just launched the google_vertex_ai_endpoint_with_model_garden_deployment Terraform resource to manage your open model deployment (Hugging Face or Model Garden) with one unique main.tf.
Docs and code in the 🧵
Vertex AI Model Garden just launched the google_vertex_ai_endpoint_with_model_garden_deployment Terraform resource to manage your open model deployment (Hugging Face or Model Garden) with one unique main.tf.
Docs and code in the 🧵
October 8, 2025 at 3:30 PM
🚀 Deploying open models with Terraform on Vertex AI!
Vertex AI Model Garden just launched the google_vertex_ai_endpoint_with_model_garden_deployment Terraform resource to manage your open model deployment (Hugging Face or Model Garden) with one unique main.tf.
Docs and code in the 🧵
Vertex AI Model Garden just launched the google_vertex_ai_endpoint_with_model_garden_deployment Terraform resource to manage your open model deployment (Hugging Face or Model Garden) with one unique main.tf.
Docs and code in the 🧵
🚀 Managed PEFT Support for Gemma 3 & Qwen 3 is NOW available on Vertex AI!
To adapt Gemma 3 27B or Qwen 3 32B without managing infrastructure, you can use Vertex AI's expanded OSS managed tuning service, now supporting PEFT for these models.
Docs in the 🧵
To adapt Gemma 3 27B or Qwen 3 32B without managing infrastructure, you can use Vertex AI's expanded OSS managed tuning service, now supporting PEFT for these models.
Docs in the 🧵
October 6, 2025 at 10:00 PM
🚀 Managed PEFT Support for Gemma 3 & Qwen 3 is NOW available on Vertex AI!
To adapt Gemma 3 27B or Qwen 3 32B without managing infrastructure, you can use Vertex AI's expanded OSS managed tuning service, now supporting PEFT for these models.
Docs in the 🧵
To adapt Gemma 3 27B or Qwen 3 32B without managing infrastructure, you can use Vertex AI's expanded OSS managed tuning service, now supporting PEFT for these models.
Docs in the 🧵
Building an MCP (Model Context Protocol) server for Vertex AI's Memory Bank
Inspired a great request from a Vertex AI user, I've spent some time building an unofficial MCP server for Vertex AI Memory Bank to create context-aware and personalized applications.
Link in the 🧵
Inspired a great request from a Vertex AI user, I've spent some time building an unofficial MCP server for Vertex AI Memory Bank to create context-aware and personalized applications.
Link in the 🧵
October 6, 2025 at 2:58 PM
Building an MCP (Model Context Protocol) server for Vertex AI's Memory Bank
Inspired a great request from a Vertex AI user, I've spent some time building an unofficial MCP server for Vertex AI Memory Bank to create context-aware and personalized applications.
Link in the 🧵
Inspired a great request from a Vertex AI user, I've spent some time building an unofficial MCP server for Vertex AI Memory Bank to create context-aware and personalized applications.
Link in the 🧵
NEW TUTORIAL! Build AI agents with multimodal memory
I've mentioned why agents need memory, but extracting facts from images, videos, and audio requires Gemini-powered memory.
Check the new tutorial in 🧵 on building an agent with Vertex AI Memory Bank for personalized multimodal interactions!
I've mentioned why agents need memory, but extracting facts from images, videos, and audio requires Gemini-powered memory.
Check the new tutorial in 🧵 on building an agent with Vertex AI Memory Bank for personalized multimodal interactions!
September 29, 2025 at 6:59 PM
NEW TUTORIAL! Build AI agents with multimodal memory
I've mentioned why agents need memory, but extracting facts from images, videos, and audio requires Gemini-powered memory.
Check the new tutorial in 🧵 on building an agent with Vertex AI Memory Bank for personalized multimodal interactions!
I've mentioned why agents need memory, but extracting facts from images, videos, and audio requires Gemini-powered memory.
Check the new tutorial in 🧵 on building an agent with Vertex AI Memory Bank for personalized multimodal interactions!
ADK v1.15.0 JUST DROPPED with context caching, new observability feature, and Google Maps integration!
Building AI agents with ADK has been significantly upgraded to reduce latency and costs while grounding with Google Maps data and more.
Release notes:
> github.com/google/adk-...
Building AI agents with ADK has been significantly upgraded to reduce latency and costs while grounding with Google Maps data and more.
Release notes:
> github.com/google/adk-...
September 26, 2025 at 6:17 AM
ADK v1.15.0 JUST DROPPED with context caching, new observability feature, and Google Maps integration!
Building AI agents with ADK has been significantly upgraded to reduce latency and costs while grounding with Google Maps data and more.
Release notes:
> github.com/google/adk-...
Building AI agents with ADK has been significantly upgraded to reduce latency and costs while grounding with Google Maps data and more.
Release notes:
> github.com/google/adk-...
✅ SUPPORTED: One-Line ADK CLI Deployment to Vertex AI Agent Engine!
Many of you asked, and we've simplified the process: transitioning from an ADK agent to a scalable agent on Vertex AI is now just a single CLI command.
Check out the new docs to try!
👉 Docs: google.github.io/adk-docs/de...
Many of you asked, and we've simplified the process: transitioning from an ADK agent to a scalable agent on Vertex AI is now just a single CLI command.
Check out the new docs to try!
👉 Docs: google.github.io/adk-docs/de...
September 18, 2025 at 4:14 PM
✅ SUPPORTED: One-Line ADK CLI Deployment to Vertex AI Agent Engine!
Many of you asked, and we've simplified the process: transitioning from an ADK agent to a scalable agent on Vertex AI is now just a single CLI command.
Check out the new docs to try!
👉 Docs: google.github.io/adk-docs/de...
Many of you asked, and we've simplified the process: transitioning from an ADK agent to a scalable agent on Vertex AI is now just a single CLI command.
Check out the new docs to try!
👉 Docs: google.github.io/adk-docs/de...