'L' family storage optimized VM size series

Applies to: ✔️ Linux VMs ✔️ Windows VMs ✔️ Flexible scale sets ✔️ Uniform scale sets

The 'L' family of VM size series are one of Azure's storage-optimized VM instances. They're designed for workloads that require high disk throughput and I/O, such as databases, big data applications, and data warehousing. Equipped with high disk throughput and large local disk storage capacities, L-series VMs support applications and services that benefit from low latency and high sequential read and write speeds. This makes them particularly well-suited for handling tasks like large-scale log processing, real-time big data analytics, and scenarios involving large databases that perform frequent disk operations, ensuring efficient performance for storage-heavy applications.

Workloads and use cases

Big Data Applications: L-family VMs are perfect for big data applications that need to process, analyze, and manipulate large datasets stored directly on local disks, benefiting from the high I/O performance.

Database Servers: L-family VMs provide the necessary local disk performance for SQL Server, MySQL, PostgreSQL, and other database servers that benefit from fast access to disk storage.

File Servers: L-family VMs can be used effectively as file servers within a network, handling large files and serving them with high throughput, especially useful in environments with large media files.

Video Editing and Rendering: The high disk throughput and capacity of L-family VMs are beneficial for video editing and rendering tasks, where large video files are frequently read and written to disk.

Series in family

Lsv2-series

The Lsv2-series features high throughput, low latency, directly mapped local NVMe storage running on the AMD EPYC™ 7551 processor with an all core boost of 2.55GHz and a max boost of 3.0GHz. The Lsv2-series VMs come in sizes from 8 to 80 vCPU in a simultaneous multi-threading configuration. There is 8 GiB of memory per vCPU, and one 1.92TB NVMe SSD M.2 device per 8 vCPUs, with up to 19.2TB (10x1.92TB) available on the L80s v2.

View the full Lsv2-series page.

Part	Quantity Count Units	Specs SKU ID, Performance Units, etc.
Processor	8 - 80 vCPUs	AMD EPYC 7551 (Naples) [x86-64]
Memory	64 - 640 GiB
Local Storage	1 Temp Disk 1 - 10 NVMe Disks	80 - 800 GiB Temp Disks 1.92 TiB NVMe Disks
Remote Storage	16 - 32 Disks	8000 - 80000 IOPS 160 - 1400 MBps
Network	2 - 8 NICs	3200 - 16000+ Mbps
Accelerators	None

Lsv3-series

The Lsv3-series of Azure Virtual Machines (Azure VMs) features high-throughput, low latency, directly mapped local NVMe storage. These VMs run on the 3rd Generation Intel® Xeon® Platinum 8370C (Ice Lake) processor in a hyper-threaded configuration. This new processor features an all-core turbo clock speed of 3.5 GHz with Intel® Turbo Boost Technology, Intel® Advanced-Vector Extensions 512 (Intel® AVX-512) and Intel® Deep Learning Boost. The Lsv3-series VMs are available in sizes from 8 to 80 vCPUs. There are 8 GiB of memory allocated per vCPU, and one 1.92TB NVMe SSD device allocated per 8 vCPUs, with up to 19.2TB (10x1.92TB) available on the L80s_v3 size.

Note

The Lsv3-series VMs are optimized to use the local disk on the node attached directly to the VM rather than using durable data disks. This method allows for greater IOPS and throughput for your workloads. The Lsv3, Lasv3, Lsv2, and Ls-series VMs don't support the creation of a host cache to increase the IOPS achievable by durable data disks.

The high throughput and IOPS of the local disk makes the Lsv3-series VMs ideal for NoSQL stores such as Apache Cassandra and MongoDB. These stores replicate data across multiple VMs to achieve persistence in the event of the failure of a single VM.

View the full Lsv3-series page.

Part	Quantity Count Units	Specs SKU ID, Performance Units, etc.
Processor	8 - 80 vCPUs	Intel Xeon Platinum 8370C (Ice Lake) [x86-64]
Memory	64 - 640 GiB
Local Storage	1 Temp Disk 1 - 10 NVMe Disks	80 - 800 GiB Temp Disks 1.92 TiB NVMe Disks
Remote Storage	16 - 32 Disks	12800 - 80000 IOPS 290 - 2160 MBps
Network	4 - 8 NICs	12500 - 32000 Mbps
Accelerators	None

Lasv3-series

The Lasv3-series of Azure Virtual Machines (Azure VMs) features high-throughput, low latency, directly mapped local NVMe storage. These VMs run on an AMD 3rd Generation EPYC™ 7763v processor in a multi-threaded configuration with an L3 cache of up to 256 MB that can achieve a boosted maximum frequency of 3.5 GHz. The Lasv3-series VMs are available in sizes from 8 to 80 vCPUs in a simultaneous multi-threading configuration. There are 8 GiB of memory per vCPU, and one 1.92 TB NVMe SSD device per 8 vCPUs, with up to 19.2 TB (10x1.92TB) available on the L80as_v3 size.

Note

The Lasv3-series VMs are optimized to use the local disk on the node attached directly to the VM rather than using durable data disks. This method allows for greater IOPS and throughput for your workloads. The Lsv3, Lasv3, Lsv2, and Ls-series don't support the creation of a local cache to increase the IOPS achievable by durable data disks.

The high throughput and IOPS of the local disk makes the Lasv3-series VMs ideal for NoSQL stores such as Apache Cassandra and MongoDB. These stores replicate data across multiple VMs to achieve persistence in the event of the failure of a single VM.

View the full Lasv3-series page.

Part	Quantity Count Units	Specs SKU ID, Performance Units, etc.
Processor	8 - 80 vCPUs	AMD EPYC 7763v (Genoa) [x86-64]
Memory	64 - 640 GiB
Local Storage	1 Temp Disk 1 - 10 NVMe Disks	80 - 800 GiB Temp Disks 1.92 TiB NVMe Disks
Remote Storage	16 - 32 Disks	12800 - 80000 IOPS 200 - 1400 MBps
Network	4 - 8 NICs	12500 - 32000 Mbps
Accelerators	None

Previous-generation L family series

For older sizes, see previous generation sizes.

Other size information

List of all available sizes: Sizes

Pricing Calculator: Pricing Calculator

Information on Disk Types: Disk Types

Next steps

Learn more about how Azure compute units (ACU) can help you compare compute performance across Azure SKUs.

Check out Azure Dedicated Hosts for physical servers able to host one or more virtual machines assigned to one Azure subscription.

Learn how to Monitor Azure virtual machines.