C4D VMs — built by Google Cloud with AMD’s 5th Gen EPYC processors — deliver substantially better performance while consuming fewer resources.
Cloud VMs are easy to spin up, yet many organizations overprovision them, resulting in inefficient utilization and unanticipated costs. Deploying hundreds or thousands of VMs for various workloads can obscure visibility into usage and complicate cloud governance, potentially exacerbating unrecognized security gaps.
C4D transforms how organizations manage and secure their cloud environments. By offloading critical infrastructure services, C4D isolates infrastructure layers, streamlines operations, and delivers predictable performance. When used with Google Cloud observability and telemetry capabilities, IT teams can achieve more efficient VM management, support robust governance frameworks, and maintain clear operational visibility at scale into resource usage, configuration changes, and security events.
Let’s dig more deeply into how C4D VMs deliver these benefits.
1. Greater throughput
With up to 80% higher throughput per virtual CPU (vCPU) on web-serving workloads compared to previous generation products, C4D enables up and down scaling without introducing performance inconsistencies. The AMD processors are paired with Google Cloud’s highly optimized Titanium infrastructure layer, which offloads networking, storage, and security operations. This collaboration also supports the capabilities of the Google Cloud H4D VMs — a companion high-performance computing offering.
By offloading key overhead tasks to Titanium infrastructure, C4D frees up CPU cycles for business-critical applications. With databases, for example, C4D achieves:
- Up to a 55% increase in queries per second on MySQL compared to prior-generation C3D VMs
- a 35% performance improvement for Redis workloads compared to C3D
C4D can also support up to 384 vCPUs and 3,024 Gb of DDR5 memory per virtual machine instance.
Based on the advanced Zen 5 and Zen 5c microarchitectures, AMD’s 5th Generation EPYC processors (code-named Turin) are built with high core counts, robust multi-threading, and superior energy efficiency.
Zen 5 delivers significant gains in instructions per cycle, power efficiency, memory bandwidth, and overall compute performance, making it well-suited for general-purpose and AI inference workloads in the cloud.
Zen 5c is a compact, core-dense variant optimized for cloud-native environments and enables higher core counts and improved energy efficiency.
2. Predictable, high-frequency performance
AMD EPYC processors provide reliable, high-frequency compute performance, which is essential for modern cloud-native applications. The result is a cloud foundation that is faster, more efficient, and easier to manage at scale, allowing organizations to innovate with confidence.
By running foundational workloads more efficiently with C4D, organizations can better utilize their cloud resources for new revenue-generating workloads. Also, C4D can be enhanced with Google Cloud Confidential Computing, leveraging hardware-based trusted execution environments to protect sensitive data and workloads in use — ensuring privacy and security without sacrificing performance.
C4D will also support Google Cloud’s first AMD-based bare metal instances, which offer direct access to all resources on the server without sharing them with other users.
3. Greater scalability
C4D can deliver versatile, high-performance compute that adapts seamlessly to a wide range of applications—from AI inference and real-time analytics to large-scale data processing and cloud-native microservices. And AMD EPYC 5th Gen processors offer consistently low latency and high throughput, even as workloads scale dynamically.
C4D is ideal for industries where variable demand and rapid data processing are essential. Its scalable, efficient VM infrastructure empowers organizations to innovate faster while confidently handling growing and diverse workloads.
Click here to get all the details about C4D.