The Oxide founders experienced the challenges of managing on prem cloud infrastructure firsthand – their pains alchemized into Oxide. The team consists of leading technologists specialized across the stack (from companies like Sun, Meta, Amazon, Google, etc.). Oxide Computer Company was founded in 2019 by Steve Tuck and Bryan Cantrill, who previously worked together at […]
Cloud Field Day at Google Cloud Wrap-Up
Wrapping up the Cloud Field Day 20 presentation by Google Cloud, Bobby Allen emphasized the importance of innovation in the realm of cloud computing. He pointed out that innovation happens at the intersection of where the model lives and where the application runs, highlighting the significance of both components. Allen referenced various Google Cloud tools […]
Google Kubernetes Engine – The Container Platform for AI at Scale from Google Cloud
Brandon Royal, a Product Manager at Google Cloud, describes how Kubernetes can be leveraged for AI applications, particularly focusing on model training and serving. He begins by emphasizing the growing importance of generative AI across many organizations, highlighting that Google Kubernetes Engine (GKE) provides a robust platform for integrating AI into products and services. The […]
Google Cloud Run and GenAI Apps
In this presentation, Lisa Shen, a product manager at Google Cloud, introduces Cloud Run, Google Cloud’s serverless runtime platform, and discusses its integration with generative AI (GenAI) applications. Cloud Run simplifies the deployment and scaling of modern workloads by removing the overhead of infrastructure management. Built on container technology, it offers flexibility, portability, and cost-saving […]
Google Cloud Vertex AI Platform
Google Cloud’s Vertex AI platform is built on a rich history of innovation and enterprise readiness, offering an integrated AI-optimized portfolio. The platform leverages Google’s groundbreaking technologies such as TPUs and the transformer architecture, which have been instrumental in the development of large language models (LLMs) like Gemini. Gemini stands out for its multimodal capabilities, […]
Generate Storage Insights with Gemini in Google Cloud
In this presentation, Manjul Sahay, a Group Product Manager at Google Cloud, introduces a new feature designed to provide valuable insights into cloud storage using the Gemini Cloud Assist portfolio. He highlights the unique challenges faced by customers managing vast amounts of data across numerous projects and buckets, often handled by a small team of […]
Gemini Code Assist in Google Cloud
Rakesh Dhoopar, Director of Product Management at Google, presented Gemini Code Assist at Cloud Field Day 20, focusing on enhancing developer productivity and addressing common challenges in the coding world. He discussed how onboarding new developers can be slow due to the time required to get them up to speed on a project, and how […]
Gemini Cloud Assist in Google Cloud
Gemini Cloud Assist, a feature of Google Cloud, serves as an extensible cloud intelligence tool designed to enhance user efficiency by providing actionable insights and recommendations. Bobby Allen emphasizes that Gemini Cloud Assist integrates the intelligence from Google’s Gemini model to supercharge workloads on Google Cloud. This feature is particularly beneficial for users who are […]
Google Cloud Network Infrastructure for AI/ML
Victor Moreno, a product manager at Google Cloud, presented on the network infrastructure Google Cloud has developed to support AI and machine learning (AI/ML) workloads. The exponential growth of AI/ML models necessitates moving vast amounts of data across networks, making it impossible to rely on a single TPU or host. Instead, thousands of nodes must […]
AI Workloads and Hardware Accelerators – Introducing the Google Cloud AI Hypercomputer
Ishan Sharma, a Senior Product Manager for Google Kubernetes Engine (GKE), presented advancements in enhancing AI workloads on Google Cloud during Cloud Field Day 20. He emphasized the rapid evolution of AI research and its practical applications across various sectors, such as content generation, pharmaceutical research, and robotics. Google Cloud’s infrastructure, including its AI hypercomputer, […]
Security in Google Cloud
In his presentation at Cloud Field Day 20, Glenn Messinger, Product Manager for Google’s GKE security team, discussed the complexities and challenges of securing Kubernetes environments. He emphasized that while Kubernetes offers significant power and flexibility, these attributes also introduce substantial complexity, making security a primary concern for users. Many Kubernetes users have experienced security […]
AI/ML Storage Workloads in Google Cloud
Sean Derrington from Google Cloud’s storage group presents advancements in cloud storage, particularly for AI and ML workloads. Google Cloud has focused on optimizing storage solutions to support the unique requirements of AI and ML applications, such as the need for high throughput and low latency. Key innovations include the Anywhere Cache, which allows data […]
Running Modern Workloads in Google Cloud
William Denniss, product manager at Google, introduces GKE Autopilot during his presentation at Cloud Field Day 20. He explained that GKE Autopilot is a simplified way of using Google Kubernetes Engine (GKE) by focusing on Kubernetes as the primary interface, eliminating the need for users to manage the underlying infrastructure. Denniss emphasized that Kubernetes sits […]
Running Enterprise Workloads in Google Cloud
Jeff Welsch, product manager at Google Cloud, discusses the opportunity of running enterprise workloads in the cloud, emphasizing that enterprise use cases are substantial for many customers. He outlines Google’s compute organization, which includes offerings such as virtual machines, TPUs, GPUs, block storage, and enterprise solutions like VMware, SAP, and Microsoft. Welsch explains that Google […]
Google Cloud Overview and Cloud Field Day Introduction
In this presentation, Bobby Allen from Google Cloud provides an overview of the themes and topics to be discussed during their full-day session at Cloud Field Day 20. He begins by acknowledging the vast scope of Google Cloud, noting that this presentation focuses on foundational topics like storage, networking, and security, as well as the […]
Introducing MVM: An Embedded KVM-Based Hypervisor Solution from Morpheus
In addition to enabling self-service provisioning of VMs, Containers, and Application Services, the Morpheus orchestration platform has been extended to enable simple provisioning of Kubernetes, Docker, and KVM clusters. As part of our ongoing effort to simplify IT, we’re introducing an embedded KVM-based hypervisor solution that customers can use to host workloads alongside the dozens […]
Morpheus Platform Architecture: A Force Multiplier for Enterprise IT
For years, the Morpheus platform has enabled rapid integration of third-party technologies with dozens of out-of-the-box codeless integrations into clouds, ITSM, IPAM, Backups, and more. With the general availability of the Morpheus plugin framework in 2023 and updates to the Morpheus distributed worker, we are ushering in another level of extensibility. This session showcases how […]
Morpheus Tech Foundation: Developer Self-Service and Platform Operations
This CFD live demo will show how enterprises and MSPs can enable speed and agility while also improving control, efficiency, and flexibility. The session will cover IaaS, DBaaS, CaaS, PaaS, AIaaS, and other core Morpheus use cases including runbook automation. We’ll show how easy it is to integrate technologies like VMware, Nutanix, AWS, Azure, GCP, […]
Morpheus in 2024: The Criticality of Platform Thinking
With increasing diversity in application formats, workload requirements, hypervisor options, cloud providers, automation approaches, and data locality there is simply not enough IT funding or skilled practitioners to keep up. The only sustainable path is to embrace unified and extensible platform frameworks that accept this divergence while at the same time shrinking the distance between […]
Automated Congestion Management in the AI Data Center with Juniper Networks
To maximize throughput and minimize packet loss, Ethernet uses the DCQCN congestion management protocol, but DCQCN introduces significant operational complexity for human operators. Learn how Juniper Apstra handles this new challenge in stride, automatically optimizing throughput and the “right amount” of packet loss. Juniper Networks’ presentation at Cloud Field Day 20, led by Rajagopalan Subrahmanian […]