Skip to content

Commit da8f8b6

Browse files
committed
Blocking fixes post-review. Changed as many as I could to improve Acrolinx scores on non-data includes
1 parent dfdbc7c commit da8f8b6

File tree

10 files changed

+20
-20
lines changed

10 files changed

+20
-20
lines changed
Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
---
2-
title: FX sub-family VM size series summary include
3-
description: Include file containing a summary of the 'FX' sub-family.
2+
title: FX subfamily VM size series summary include
3+
description: Include file containing a summary of the 'FX' subfamily.
44
services: virtual-machines
55
author: mattmcinnes
66
ms.topic: include
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
The 'FX' family of VM size series are one of Azure's specialized compute-optimized VM instances, designed primarily workloads that require significant CPU capabilities. These VMs leverage the latest Intel Ice Lake processors and are optimized for compute-intensive tasks such as financial modeling, scientific simulations, and heavy calculations. With a high frequency and a large cache per core, FX-series VMs provide exceptional computational power, making them ideal for scenarios demanding extensive processing resources and rapid execution of complex operations.
13+
The 'FX' family of VM size series are one of Azure's specialized compute-optimized VM instances, designed primarily workloads that require significant CPU capabilities. These VMs use the latest Intel Ice Lake processors and are optimized for compute-intensive tasks such as financial modeling, scientific simulations, and heavy calculations. With a high frequency and a large cache per core, FX-series VMs provide exceptional computational power, making them ideal for scenarios demanding extensive processing resources and rapid execution of complex operations.
Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
---
2-
title: NP sub-family VM size series summary include
3-
description: Include file containing a summary of the 'NP' sub-family.
2+
title: NP subfamily VM size series summary include
3+
description: Include file containing a summary of the 'NP' subfamily.
44
services: virtual-machines
55
author: mattmcinnes
66
ms.topic: include
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
The 'NP' 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.
13+
The 'NP' subfamily 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. High disk throughput and large local disk storage capacities on L-series VMs support applications and services that benefit from low latency and high sequential read and write speeds. This makes them 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.
Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
---
2-
title: HB sub-family VM size series summary include
3-
description: Include file containing a summary of the 'HB' sub-family.
2+
title: HB subfamily VM size series summary include
3+
description: Include file containing a summary of the 'HB' subfamily.
44
services: virtual-machines
55
author: mattmcinnes
66
ms.topic: include
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
The 'HB' sub-family of VM size series are one of Azure's high-performance computing (HPC) optimized H-family VM instances. They're designed for compute-intensive workloads, such as computational fluid dynamics, finite element analysis, and large-scale scientific simulations. Equipped with high-performance AMD EPYC processors and fast memory, HB-series VMs offer exceptional CPU and memory bandwidth, making them ideal for applications that require extensive computational resources to perform large-scale calculations and data processing. This makes them particularly well-suited for industries like engineering, scientific research, and data analysis where processing speed and accuracy are critical for productivity and innovation.
13+
The 'HB' subfamily of VM size series are one of Azure's high-performance computing (HPC) optimized H-family VM instances. They're designed for compute-intensive workloads, such as computational fluid dynamics, finite element analysis, and large-scale scientific simulations. High-performance AMD EPYC processors and fast memory on HB-series VMs offer exceptional CPU and memory bandwidth, making them ideal for applications that require extensive computational resources to perform large-scale calculations and data processing. This makes them well suited for industries like engineering, scientific research, and data analysis where processing speed and accuracy are critical for productivity and innovation.

articles/virtual-machines/sizes/high-performance-compute/includes/hb-series-summary.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
HB-series VMs are optimized for applications that are driven by memory bandwidth, such as fluid dynamics, explicit finite element analysis, and weather modeling. HB VMs feature 60 AMD EPYC 7551 processor cores, 4 GB of RAM per CPU core, and no simultaneous multithreading. An HB VM provides up to 260 GB/sec of memory bandwidth. HB-series VMs feature 100 Gb/sec Mellanox EDR InfiniBand. These VMs are connected in a non-blocking fat tree for optimized and consistent RDMA performance. These VMs support Adaptive Routing and the Dynamic Connected Transport (DCT, in addition to standard RC and UD transports). These features enhance application performance, scalability, and consistency, and their usage is recommended.
13+
HB-series VMs are optimized for applications that are driven by memory bandwidth, such as fluid dynamics, explicit finite element analysis, and weather modeling. HB VMs feature 60 AMD EPYC 7551 processor cores, 4 GB of RAM per CPU core, and no simultaneous multithreading. An HB VM provides up to 260 GB/sec of memory bandwidth. HB-series VMs feature 100 Gb/sec Mellanox EDR InfiniBand. These VMs are connected in a nonblocking fat tree for optimized and consistent RDMA performance. These VMs support Adaptive Routing and the Dynamic Connected Transport (DCT, in addition to standard RC and UD transports). These features enhance application performance, scalability, and consistency, and their usage is recommended.

articles/virtual-machines/sizes/high-performance-compute/includes/hbv2-series-summary.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
HBv2-series VMs are optimized for applications that are driven by memory bandwidth, such as fluid dynamics, finite element analysis, and reservoir simulation. HBv2 VMs feature 120 AMD EPYC 7V12 processor cores, 4 GB of RAM per CPU core, and no simultaneous multithreading. Each HBv2 VM provides up to 350 GB/s of memory bandwidth, and up to 4 teraFLOPS of FP64 compute. HBv2-series VMs feature 200 Gb/sec Mellanox HDR InfiniBand. These VMs are connected in a non-blocking fat tree for optimized and consistent RDMA performance. These VMs support Adaptive Routing and the Dynamic Connected Transport (DCT, in addition to standard RC and UD transports). These features enhance application performance, scalability, and consistency, and their usage is recommended.
13+
HBv2-series VMs are optimized for applications driven by memory bandwidth, such as fluid dynamics, finite element analysis, and reservoir simulation. HBv2 VMs feature 120 AMD EPYC 7V12 processor cores, 4 GB of RAM per CPU core, and no simultaneous multithreading. Each HBv2 VM provides up to 350 GB/s of memory bandwidth, and up to 4 teraFLOPS of FP64 compute. HBv2-series VMs feature 200 Gb/sec Mellanox HDR InfiniBand. These VMs are connected in a nonblocking fat tree for optimized and consistent RDMA performance. These VMs support Adaptive Routing and the Dynamic Connected Transport (DCT, in addition to standard RC and UD transports). These features enhance application performance, scalability, and consistency, and their usage is recommended.

articles/virtual-machines/sizes/high-performance-compute/includes/hbv3-series-summary.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
HBv3-series VMs are optimized for HPC applications such as fluid dynamics, explicit and implicit finite element analysis, weather modeling, seismic processing, reservoir simulation, and RTL simulation. HBv3 VMs feature up to 120 AMD EPYC™ 7V73X (Milan-X) CPU cores, 448 GB of RAM, and no simultaneous multithreading. HBv3-series VMs also provide 350 GB/sec of memory bandwidth (amplified up to 630 GB/s), up to 96 MB of L3 cache per core (1.536 GB total per VM), up to 7 GB/s of block device SSD performance, and clock frequencies up to 3.5 GHz. All HBv3-series VMs feature 200 Gb/sec HDR InfiniBand from NVIDIA Networking to enable supercomputer-scale MPI workloads. These VMs are connected in a non-blocking fat tree for optimized and consistent RDMA performance. The HDR InfiniBand fabric also supports Adaptive Routing and the Dynamic Connected Transport (DCT, in additional to standard RC and UD transports). These features enhance application performance, scalability, and consistency, and their usage is strongly recommended.
13+
HBv3-series VMs are optimized for HPC applications such as fluid dynamics, explicit and implicit finite element analysis, weather modeling, seismic processing, reservoir simulation, and RTL simulation. HBv3 VMs feature up to 120 AMD EPYC™ 7V73X (Milan-X) CPU cores, 448 GB of RAM, and no simultaneous multithreading. HBv3-series VMs also provide 350 GB/sec of memory bandwidth (amplified up to 630 GB/s), up to 96 MB of L3 cache per core (1.536 GB total per VM), up to 7 GB/s of block device SSD performance, and clock frequencies up to 3.5 GHz. All HBv3-series VMs feature 200 Gb/sec HDR InfiniBand from NVIDIA Networking to enable supercomputer-scale MPI workloads. These VMs are connected in a nonblocking fat tree for optimized and consistent RDMA performance. The HDR InfiniBand fabric also supports Adaptive Routing and the Dynamic Connected Transport (DCT, in addition to standard RC and UD transports). These features enhance application performance, scalability, and consistency.

articles/virtual-machines/sizes/high-performance-compute/includes/hbv4-series-summary.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
HBv4-series VMs are optimized for various HPC workloads such as computational fluid dynamics, finite element analysis, frontend and backend EDA, rendering, molecular dynamics, computational geoscience, weather simulation, and financial risk analysis. HBv4 VMs feature up to 176 AMD EPYC™ 9V33X ("Genoa-X") CPU cores with AMD's 3D V-Cache, clock frequencies up to 3.7 GHz, and no simultaneous multithreading. HBv4-series VMs also provide 768 GB of RAM, 2.3 GB L3 cache. The 2.3 GB L3 cache per VM can deliver up to 5.7 TB/s of bandwidth to amplify up to 780 GB/s of bandwidth from DRAM, for a blended average of 1.2 TB/s of effective memory bandwidth across a broad range of customer workloads. The VMs also provide up to 12 GB/s (reads) and 7 GB/s (writes) of block device SSD performance. All HBv4-series VMs feature 400 Gb/s NDR InfiniBand from NVIDIA Networking to enable supercomputer-scale MPI workloads. These VMs are connected in a non-blocking fat tree for optimized and consistent RDMA performance. NDR continues to support features like Adaptive Routing and the Dynamically Connected Transport (DCT). This newest generation of InfiniBand also brings greater support for offload of MPI collectives, optimized real-world latencies due to congestion control intelligence, and enhanced adaptive routing capabilities. These features enhance application performance, scalability, and consistency, and their usage is recommended.
13+
HBv4-series VMs are optimized for various HPC workloads such as computational fluid dynamics, finite element analysis, frontend and backend EDA, rendering, molecular dynamics, computational geoscience, weather simulation, and financial risk analysis. HBv4 VMs feature up to 176 AMD EPYC™ 9V33X ("Genoa-X") CPU cores with AMD's 3D V-Cache, clock frequencies up to 3.7 GHz, and no simultaneous multithreading. HBv4-series VMs also provide 768 GB of RAM, 2.3 GB L3 cache. The 2.3 GB L3 cache per VM can deliver up to 5.7 TB/s of bandwidth to amplify up to 780 GB/s of bandwidth from DRAM, for a blended average of 1.2 TB/s of effective memory bandwidth across a broad range of customer workloads. The VMs also provide up to 12 GB/s (reads) and 7 GB/s (writes) of block device SSD performance. All HBv4-series VMs feature 400-Gb/s NDR InfiniBand from NVIDIA Networking to enable supercomputer-scale MPI workloads. These VMs are connected in a nonblocking fat tree for optimized and consistent RDMA performance. NDR continues to support features like Adaptive Routing and the Dynamically Connected Transport (DCT). This newest generation of InfiniBand also brings greater support for offload of MPI collectives, optimized real-world latencies due to congestion control intelligence, and enhanced adaptive routing capabilities. These features enhance application performance, scalability, and consistency, and their usage is recommended.
Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
---
2-
title: HC sub-family VM size series summary include
3-
description: Include file containing a summary of the 'HC' sub-family.
2+
title: HC subfamily VM size series summary include
3+
description: Include file containing a summary of the 'HC' subfamily.
44
services: virtual-machines
55
author: mattmcinnes
66
ms.topic: include
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
The 'HC' family of VM size series are one of Azure's high-performance computing (HPC) optimized VM instances. They're designed for compute-intensive workloads that require substantial CPU power, such as genomic sequencing, engineering simulations, and financial modeling. Equipped with high-performance Intel Xeon Scalable processors and fast memory, HC-series VMs offer exceptional computational capabilities and memory bandwidth, making them ideal for applications that demand intense processing power to handle complex calculations and massive data sets efficiently. This makes them particularly well-suited for sectors like healthcare, finance, and engineering, where rapid data processing and simulation accuracy are critical for advanced research and development.
13+
The 'HC' family of VM size series are one of Azure's high-performance computing (HPC) optimized VM instances. They're designed for compute-intensive workloads that require substantial CPU power, such as genomic sequencing, engineering simulations, and financial modeling. High-performance Intel Xeon Scalable processors and fast memory on HC-series VMs offer exceptional computational capabilities and memory bandwidth, making them ideal for applications that demand intense processing power to handle complex calculations and massive data sets efficiently. These VMs are designed for sectors like healthcare, finance, and engineering, where rapid data processing and simulation accuracy are critical for advanced research and development.

articles/virtual-machines/sizes/high-performance-compute/includes/hc-series-summary.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
HC-series VMs are optimized for applications driven by dense computation, such as implicit finite element analysis, molecular dynamics, and computational chemistry. HC VMs feature 44 Intel Xeon Platinum 8168 processor cores, 8 GB of RAM per CPU core, and no hyperthreading. The Intel Xeon Platinum platform supports Intel’s rich ecosystem of software tools such as the Intel Math Kernel Library and advanced vector processing capabilities such as AVX-512. HC-series VMs feature 100 Gb/sec Mellanox EDR InfiniBand. These VMs are connected in a non-blocking fat tree for optimized and consistent RDMA performance. These VMs support Adaptive Routing and the Dynamic Connected Transport (DCT, in addition to standard RC and UD transports). These features enhance application performance, scalability, and consistency, and their usage is recommended.
13+
HC-series VMs are optimized for applications driven by dense computation, such as implicit finite element analysis, molecular dynamics, and computational chemistry. HC VMs feature 44 Intel Xeon Platinum 8,168 processor cores, 8 GB of RAM per CPU core, and no hyperthreading. The Intel Xeon Platinum platform supports Intel’s rich ecosystem of software tools such as the Intel Math Kernel Library and advanced vector processing capabilities such as AVX-512. HC-series VMs feature 100 Gb/sec Mellanox EDR InfiniBand. These VMs are connected in a nonblocking fat tree for optimized and consistent RDMA performance. These VMs support Adaptive Routing and the Dynamic Connected Transport (DCT, in addition to standard RC and UD transports). These features enhance application performance, scalability, and consistency, and their usage is recommended.
Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
---
2-
title: HX sub-family VM size series summary include
3-
description: Include file containing a summary of the 'HX' sub-family.
2+
title: HX subfamily VM size series summary include
3+
description: Include file containing a summary of the 'HX' subfamily.
44
services: virtual-machines
55
author: mattmcinnes
66
ms.topic: include
@@ -10,4 +10,4 @@ ms.date: 04/19/2024
1010
ms.author: mattmcinnes
1111
ms.custom: include file
1212
---
13-
The 'HX' family of VM size series are one of Azure's high-memory, high-performance computing (HPC) optimized VM instances. They're designed for memory-intensive workloads that require both large amounts of RAM and significant CPU performance, such as in-memory databases, big data analytics, and complex scientific simulations. Equipped with expansive memory and powerful CPUs, HX-series VMs provide the necessary resources to efficiently handle large datasets and perform rapid data processing. This makes them particularly well-suited for sectors like financial services, scientific research, and enterprise resource planning, where managing and analyzing large volumes of data in real-time is crucial for operational success and innovation.
13+
The 'HX' family of VM size series are one of Azure's high-memory, high-performance computing (HPC) optimized VM instances. They're designed for memory-intensive workloads that require both large amounts of RAM and significant CPU performance, such as in-memory databases, big data analytics, and complex scientific simulations. Expansive memory and powerful CPUs on HX-series VMs provide the necessary resources to efficiently handle large datasets and perform rapid data processing. These VMs are designed for sectors like financial services, scientific research, and enterprise resource planning, where managing and analyzing large volumes of data in real-time is crucial for operational success and innovation.

0 commit comments

Comments
 (0)