● Covered by 1 source · 1 reportMedium impact1 positive
Google Cloud announces general availability of M4N VM family for I/O and memory-bound workloads
Key points
- M4N VMs are now generally available in Google Compute Engine.
- They offer high per-core IOPS and throughput for memory-bound workloads.
- M4N instances provide up to 26:1 memory-to-vCPU ratio and 6TB size.
- Powered by 5th Gen Intel Xeon Scalable processors and Titanium offload architecture.
New VM Family for Demanding Workloads
Google Cloud has announced the general availability of the M4N machine series in Google Compute Engine. This new VM family is specifically built for I/O intensive and high-memory workloads, addressing operational bottlenecks in storage I/O and memory access for enterprise applications.
The M4N series is the second offering in Google Cloud's network- and block-storage optimized VM family. It is designed to complement existing memory-optimized families by solving specific storage and network bottlenecks for high-throughput enterprise applications.
Performance and Specifications
M4N instances are powered by 5th Gen Intel Xeon Scalable processors and built on Google Cloud's custom Titanium offload architecture. They deliver up to 25,000 MiB/s (25 GiB/s) of aggregate host storage performance and up to 1 million IOPS when paired with Hyperdisk Extreme, doubling the block storage performance of current M4 instances.
The M4N family offers higher memory ratios, up to 26:1, and sizes up to 6TB. Google Cloud states that M4N provides the highest per-core IOPS and throughput for high-memory instances compared to similar offerings from other hyperscalers.
Optimizing Licensing Costs
A key benefit of the M4N series is its potential to reduce total cost of ownership (TCO) and software licensing fees, particularly for core-based software like Oracle databases. By offering an industry-leading high memory-to-vCPU ratio, M4N allows database administrators to obtain necessary RAM and storage performance without over-provisioning compute cores.
This approach aims to mitigate the historical trade-off where enterprises paid for more vCPUs than needed to meet memory and storage requirements, thereby reducing associated third-party software licensing costs.
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Reporting from
Google Cloud has announced the general availability of its M4N virtual machine series, designed for I/O-intensive and high-memory workloads. This new VM family offers higher per-core IOPS and throughput, aiming to reduce total cost of ownership for applications like Oracle databases by optimizing memory-to-vCPU ratios.