Google Cloud Launched M4N Virtual Machines
The new instances decouple memory from compute to lower software licensing costs for database workloads.
Updated on Sept. 18, 2026 in Data Centers
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Google Cloud has launched the M4N virtual machine instance series, an infrastructure offering built to lower total cost of ownership for memory-intensive enterprise software. The instances are now available and target workloads such as Oracle databases and SAP HANA.
Why it matters
The M4N series addresses inefficiencies in core-based licensing models, which frequently force businesses to over-provision computing power just to access necessary memory capacity. By allowing more granular resource matching, Google Cloud aims to reduce costs for high-performance database deployments.
The M4N instances utilize 5th Gen Intel Xeon Scalable processors to deliver up to 6TB of memory and 26GB of RAM per vCPU. The architecture supports 400 Gbps network throughput and 25 GiB/s aggregate storage performance using Hyperdisk Extreme.
The players
Google Cloud
An infrastructure-as-a-service provider that develops proprietary custom silicon and hardware offload architectures for enterprise virtualization.
Intel
A semiconductor designer and manufacturer that produces the Xeon Scalable processor lines used in server architecture.
The details
The M4N series employs Google Cloud's Titanium offload architecture, a specialized hardware design that handles infrastructure tasks like networking and storage outside the main CPU. This design allows for higher memory-to-core ratios of up to 26GB per vCPU, enabling the decoupling of memory performance from core count requirements. The system supports up to 224 vCPUs and a maximum of 5,952GB of DDR5 RAM, facilitating the operation of large-scale enterprise databases and electronic health record systems.
Timeline
September 18, 2026: Google Cloud officially launched the M4N instance series.
The Tech Race
This release directly challenges traditional server provisioning trends that tether memory capacity to compute cores. It follows a industry-wide push to optimize infrastructure costs by providing specialized virtual machine configurations tailored to specific enterprise database requirements.
Enterprise administrators can now select M4N instances to scale compute and memory independently, which helps minimize over-provisioning in SQL Server or SAP HANA environments. Organizations should monitor their current licensing spend against these new instance tiers to verify if they reach the projected 20 percent cost reduction.
The takeaway
The M4N series signals a shift toward architectures designed specifically to mitigate the financial friction of software licensing. Interested teams should benchmark their specific Oracle deployment workloads against the new memory-to-vCPU ratios to evaluate potential cost savings.
Further reading
For more on evolving infrastructure requirements, visit our Data Centers section.
Source note: This article includes information reported by IT Brief Australia.
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