Last week, Microsoft announced the general availability of Azure virtual machines powered by Ampere Altra processors in 10 Azure regions around the world. This marks another major win for Ampere, which is winning over many vendors in the cloud space, including Google, Cloudflare, Tencent, and Oracle, among others.
These new virtual machines are designed and configured to efficiently run emerging scale-out, cloud-native workloads such as application servers, massive databases, cloud gaming and media servers, and more.
“Ampere’s cloud-native processors are uniquely designed to meet both the high-performance and energy-efficiency needs of the cloud. Through our close collaboration with Microsoft, the Ampere Altra processors are now generally available as Azure virtual machines, helping new cloud-centric processor users so they can deploy the next generation of innovative cloud applications at scale and in a sustainable manner,” said Jeff Wittich, Chief Product Officer at Ampere.
Ampere's current strategy is a bit different from many of its main competitors. At this point, the company is not focusing on discrete accelerators for specialized workloads, such as artificial intelligence. Instead, Ampere is designing multi-core processors specifically optimized for cloud services and workloads, and if the wide range of partnerships Ampere has established is any indicator, then it means that this strategy seems to be paying dividends.
Cloud-native processors designed for the modern data center
Ampere’s cloud-native processors are well suited for cloud workloads for a variety of reasons. First, Ampere has built its current Arm-based chips and platforms for optimal power efficiency and performance per watt. This is particularly important for today’s (and tomorrow’s) data center needs and in regions where more data center centers are being built, as the demand for processing resources continues to expand and tight power constraints align with the desire to build more sustainable data centers.
Ampere's processors also don't suffer from the problems that many of today's x86 processors do, which take advantage of multithreading, or SMT. SMT lets a single processor core handle two threads at the same time. This is a good thing for many workloads, but in the cloud, some threads may require the full resources of a single processor core, which can lead to severe resource contention as two threads compete for processing power. This can result in erratic, unpredictable performance, which is a problem for cloud service providers (and their customers). Ampere's processor cores are single-threaded, which means there is no resource contention per core and more predictable performance. With Ampere, each thread runs individually on its own core.
Ampere’s processor designs also offer near-linear scaling as cores are added. For example, when Ampere released a 128-core Altra processor to replace its previous 80-core product — a 60% increase in core count — performance improved by about 57% on some benchmarks.
Next-generation AmpereOne processor will use custom cores
Despite having already established key partnerships with leading cloud service providers and growing rapidly since its founding in 2018, Ampere is still accelerating. Earlier this year, the company announced that its next-generation AmpereOne processor will eschew existing Arm Neoverse cores in favor of fully custom cores, designed in-house, and built on the most advanced next-generation process nodes. Going forward, the company also plans to release each generation of products at an annual frequency, all of which will use custom cores.
Although details are still scarce, some information about AmpereOne has been revealed. The first wave of chips will be available in 2023 and will be manufactured using a 5nm process with cores specifically designed to further improve performance, scalability, and efficiency. Ampere learned where optimizations needed to be made by analyzing workloads running on its existing parts, and plans to configure AmpereOne optimally for the needs of evolving cloud workloads.
The move to its own custom cores should help Ampere further differentiate itself in the competitive data center market and distance its cloud-native processors from future competition.
Previous article:Achronix Acquires Key IP and Expertise from Accolade Technology, a Leader in FPGA Networking Solutions
Next article:How did the Arm architecture become the cornerstone of global computing step by step?
Recommended ReadingLatest update time:2024-11-16 11:43
- Wi-Fi 8 specification is on the way: 2.4/5/6GHz triple-band operation
- Three steps to govern hybrid multicloud environments
- Microchip Accelerates Real-Time Edge AI Deployment with NVIDIA Holoscan Platform
- Keysight Technologies FieldFox handheld analyzer with VDI spread spectrum module to achieve millimeter wave analysis function
- Qualcomm launches its first RISC-V architecture programmable connectivity module QCC74xM, supporting Wi-Fi 6 and other protocols
- Microchip Launches Broadest Portfolio of IGBT 7 Power Devices Designed for Sustainable Development, E-Mobility and Data Center Applications
- Infineon Technologies Launches New High-Performance Microcontroller AURIX™ TC4Dx
- Rambus Announces Industry’s First HBM4 Controller IP to Accelerate Next-Generation AI Workloads
- NXP FRDM platform promotes wireless connectivity
- Innolux's intelligent steer-by-wire solution makes cars smarter and safer
- 8051 MCU - Parity Check
- How to efficiently balance the sensitivity of tactile sensing interfaces
- What should I do if the servo motor shakes? What causes the servo motor to shake quickly?
- 【Brushless Motor】Analysis of three-phase BLDC motor and sharing of two popular development boards
- Midea Industrial Technology's subsidiaries Clou Electronics and Hekang New Energy jointly appeared at the Munich Battery Energy Storage Exhibition and Solar Energy Exhibition
- Guoxin Sichen | Application of ferroelectric memory PB85RS2MC in power battery management, with a capacity of 2M
- Analysis of common faults of frequency converter
- In a head-on competition with Qualcomm, what kind of cockpit products has Intel come up with?
- Dalian Rongke's all-vanadium liquid flow battery energy storage equipment industrialization project has entered the sprint stage before production
- Allegro MicroSystems Introduces Advanced Magnetic and Inductive Position Sensing Solutions at Electronica 2024
- Car key in the left hand, liveness detection radar in the right hand, UWB is imperative for cars!
- After a decade of rapid development, domestic CIS has entered the market
- Aegis Dagger Battery + Thor EM-i Super Hybrid, Geely New Energy has thrown out two "king bombs"
- A brief discussion on functional safety - fault, error, and failure
- In the smart car 2.0 cycle, these core industry chains are facing major opportunities!
- The United States and Japan are developing new batteries. CATL faces challenges? How should China's new energy battery industry respond?
- Murata launches high-precision 6-axis inertial sensor for automobiles
- Ford patents pre-charge alarm to help save costs and respond to emergencies
- New real-time microcontroller system from Texas Instruments enables smarter processing in automotive and industrial applications
- TI full range of component libraries (component library, package library, 3D library) collection
- A pdf explaining the device tree
- Share some resources about PID control, take them away quickly!
- Parameter calculation help for a zero-crossing detection circuit
- [Voice and vision module based on ESP32S3] Hardware design, debugging and progress-1
- 『Anxinke Bluetooth Development Board PB-02-Kit』-1: Try "pb-download"
- msp430F548A cannot execute program after power off and then on
- UWB Indoor Positioning Technology
- [GD32L233C-START Review] 10. Use internal reference voltage to calibrate ADC, ADC sampling is more accurate
- Live broadcast entrance is open | Rohm live broadcast recommends laser diodes and peripheral power supplies that can be used in LiDAR