Ultrastar® DC ME200 Memory Drive
Western Digital 產品
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Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
產品詳細內容
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
However, in-memory computing can become bottlenecked by set limitations on the amount of memory available to the server, as well as prohibitive DRAM pricing.
Ultrastar® DC ME200 Memory Extension Drive can be used to scale existing system memory, promote server consolidation, and reduce the complexity of splitting large multi-TB data sets across multiple servers. Ultrastar memory drive provides applications with large amounts of system memory at a fraction of the cost of DRAM. Advanced software algorithms work to maintain near DRAM-like performance across a variety of applications, especially targeting highly parallel workloads with high numbers of transactions. Once installed, the solution is transparent, requiring no changes to the existing OS and application stacks.
Dramatically Scale System Memory
Web application caching in particular requires large amounts of system memory to quickly ingest and analyze vast streams of data from Internet users, transaction events, and IoT devices. High concurrency environments, such as virtualized servers and container-based applications, are prime examples where memory usage can quickly outpace processing capabilities, requiring expensive additional scale-out servers to house the extra memory and virtual machines.
Ultrastar memory drive allows for the transparent expansion of system memory, enabling larger data sets to be used for analytics computations, more data to be stored in front-end web caches, and overall more work that can be accomplished within each server.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
However, in-memory computing can become bottlenecked by set limitations on the amount of memory available to the server, as well as prohibitive DRAM pricing.
Ultrastar® DC ME200 Memory Extension Drive can be used to scale existing system memory, promote server consolidation, and reduce the complexity of splitting large multi-TB data sets across multiple servers. Ultrastar memory drive provides applications with large amounts of system memory at a fraction of the cost of DRAM. Advanced software algorithms work to maintain near DRAM-like performance across a variety of applications, especially targeting highly parallel workloads with high numbers of transactions. Once installed, the solution is transparent, requiring no changes to the existing OS and application stacks.
Dramatically Scale System Memory
Web application caching in particular requires large amounts of system memory to quickly ingest and analyze vast streams of data from Internet users, transaction events, and IoT devices. High concurrency environments, such as virtualized servers and container-based applications, are prime examples where memory usage can quickly outpace processing capabilities, requiring expensive additional scale-out servers to house the extra memory and virtual machines.
Ultrastar memory drive allows for the transparent expansion of system memory, enabling larger data sets to be used for analytics computations, more data to be stored in front-end web caches, and overall more work that can be accomplished within each server.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
However, in-memory computing can become bottlenecked by set limitations on the amount of memory available to the server, as well as prohibitive DRAM pricing.
Ultrastar® DC ME200 Memory Extension Drive can be used to scale existing system memory, promote server consolidation, and reduce the complexity of splitting large multi-TB data sets across multiple servers. Ultrastar memory drive provides applications with large amounts of system memory at a fraction of the cost of DRAM. Advanced software algorithms work to maintain near DRAM-like performance across a variety of applications, especially targeting highly parallel workloads with high numbers of transactions. Once installed, the solution is transparent, requiring no changes to the existing OS and application stacks.
Dramatically Scale System Memory
Web application caching in particular requires large amounts of system memory to quickly ingest and analyze vast streams of data from Internet users, transaction events, and IoT devices. High concurrency environments, such as virtualized servers and container-based applications, are prime examples where memory usage can quickly outpace processing capabilities, requiring expensive additional scale-out servers to house the extra memory and virtual machines.
Ultrastar memory drive allows for the transparent expansion of system memory, enabling larger data sets to be used for analytics computations, more data to be stored in front-end web caches, and overall more work that can be accomplished within each server.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
However, in-memory computing can become bottlenecked by set limitations on the amount of memory available to the server, as well as prohibitive DRAM pricing.
Ultrastar® DC ME200 Memory Extension Drive can be used to scale existing system memory, promote server consolidation, and reduce the complexity of splitting large multi-TB data sets across multiple servers. Ultrastar memory drive provides applications with large amounts of system memory at a fraction of the cost of DRAM. Advanced software algorithms work to maintain near DRAM-like performance across a variety of applications, especially targeting highly parallel workloads with high numbers of transactions. Once installed, the solution is transparent, requiring no changes to the existing OS and application stacks.
Dramatically Scale System Memory
Web application caching in particular requires large amounts of system memory to quickly ingest and analyze vast streams of data from Internet users, transaction events, and IoT devices. High concurrency environments, such as virtualized servers and container-based applications, are prime examples where memory usage can quickly outpace processing capabilities, requiring expensive additional scale-out servers to house the extra memory and virtual machines.
Ultrastar memory drive allows for the transparent expansion of system memory, enabling larger data sets to be used for analytics computations, more data to be stored in front-end web caches, and overall more work that can be accomplished within each server.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
However, in-memory computing can become bottlenecked by set limitations on the amount of memory available to the server, as well as prohibitive DRAM pricing.
Ultrastar® DC ME200 Memory Extension Drive can be used to scale existing system memory, promote server consolidation, and reduce the complexity of splitting large multi-TB data sets across multiple servers. Ultrastar memory drive provides applications with large amounts of system memory at a fraction of the cost of DRAM. Advanced software algorithms work to maintain near DRAM-like performance across a variety of applications, especially targeting highly parallel workloads with high numbers of transactions. Once installed, the solution is transparent, requiring no changes to the existing OS and application stacks.
Dramatically Scale System Memory
Web application caching in particular requires large amounts of system memory to quickly ingest and analyze vast streams of data from Internet users, transaction events, and IoT devices. High concurrency environments, such as virtualized servers and container-based applications, are prime examples where memory usage can quickly outpace processing capabilities, requiring expensive additional scale-out servers to house the extra memory and virtual machines.
Ultrastar memory drive allows for the transparent expansion of system memory, enabling larger data sets to be used for analytics computations, more data to be stored in front-end web caches, and overall more work that can be accomplished within each server.
Memory Expansion for the Data Center
The digital economy has created significant demands for both real-time and batch processing of large data sets. IT organizations across the world are leveraging in-memory computing to drive superior application performance and obtain meaningful insights through the use of advanced business analytics.
However, in-memory computing can become bottlenecked by set limitations on the amount of memory available to the server, as well as prohibitive DRAM pricing.
Ultrastar® DC ME200 Memory Extension Drive can be used to scale existing system memory, promote server consolidation, and reduce the complexity of splitting large multi-TB data sets across multiple servers. Ultrastar memory drive provides applications with large amounts of system memory at a fraction of the cost of DRAM. Advanced software algorithms work to maintain near DRAM-like performance across a variety of applications, especially targeting highly parallel workloads with high numbers of transactions. Once installed, the solution is transparent, requiring no changes to the existing OS and application stacks.
Dramatically Scale System Memory
Web application caching in particular requires large amounts of system memory to quickly ingest and analyze vast streams of data from Internet users, transaction events, and IoT devices. High concurrency environments, such as virtualized servers and container-based applications, are prime examples where memory usage can quickly outpace processing capabilities, requiring expensive additional scale-out servers to house the extra memory and virtual machines.
Ultrastar memory drive allows for the transparent expansion of system memory, enabling larger data sets to be used for analytics computations, more data to be stored in front-end web caches, and overall more work that can be accomplished within each server.
完整規格
- Enables scaling of system memory, typically up to 24TiB per 1U server and 96TiB in 4U servers
- Delivers DRAM-like performance for key enterprise applications and workloads
- Transparent to existing OS and applications
- Promotes server consolidation
- Fits most industry-standard server models
評級和評論
披露
- Memory capacity is indicated by GiB and TiB and based on binary values such that one gibibyte (GiB) is equal to 230 bytes and one tebibyte (TiB) is equal to 1024 GiB (240) bytes. Storage capacity and endurance is indicated by TB and PB where one PB equals 1,000TB. Accessible capacity can vary from stated capacity due to software, formatting, and other factors.
- Suggested expansion of 8x DRAM based on internal performance testing across a variety of industry standard benchmarks.
- Endurance rating based on 4KiB random write workload.
- The warranty for the product will expire on the earlier of (i) the date when the flash media has reached oneerson (1%) of its remaining life or (ii) the expiration of the time period associated with the product.
- Results will vary based on application and workload
- Memory capacity is indicated by GiB and TiB and based on binary values such that one gibibyte (GiB) is equal to 230 bytes and one tebibyte (TiB) is equal to 1024 GiB (240) bytes. Storage capacity and endurance is indicated by TB and PB where one PB equals 1,000TB. Accessible capacity can vary from stated capacity due to software, formatting, and other factors.
- Suggested expansion of 8x DRAM based on internal performance testing across a variety of industry standard benchmarks.
- Endurance rating based on 4KiB random write workload.
- The warranty for the product will expire on the earlier of (i) the date when the flash media has reached oneerson (1%) of its remaining life or (ii) the expiration of the time period associated with the product.
- Results will vary based on application and workload
- Memory capacity is indicated by GiB and TiB and based on binary values such that one gibibyte (GiB) is equal to 230 bytes and one tebibyte (TiB) is equal to 1024 GiB (240) bytes. Storage capacity and endurance is indicated by TB and PB where one PB equals 1,000TB. Accessible capacity can vary from stated capacity due to software, formatting, and other factors.
- Suggested expansion of 8x DRAM based on internal performance testing across a variety of industry standard benchmarks.
- Endurance rating based on 4KiB random write workload.
- The warranty for the product will expire on the earlier of (i) the date when the flash media has reached oneerson (1%) of its remaining life or (ii) the expiration of the time period associated with the product.
- Results will vary based on application and workload
- Memory capacity is indicated by GiB and TiB and based on binary values such that one gibibyte (GiB) is equal to 230 bytes and one tebibyte (TiB) is equal to 1024 GiB (240) bytes. Storage capacity and endurance is indicated by TB and PB where one PB equals 1,000TB. Accessible capacity can vary from stated capacity due to software, formatting, and other factors.
- Suggested expansion of 8x DRAM based on internal performance testing across a variety of industry standard benchmarks.
- Endurance rating based on 4KiB random write workload.
- The warranty for the product will expire on the earlier of (i) the date when the flash media has reached oneerson (1%) of its remaining life or (ii) the expiration of the time period associated with the product.
- Results will vary based on application and workload
- Memory capacity is indicated by GiB and TiB and based on binary values such that one gibibyte (GiB) is equal to 230 bytes and one tebibyte (TiB) is equal to 1024 GiB (240) bytes. Storage capacity and endurance is indicated by TB and PB where one PB equals 1,000TB. Accessible capacity can vary from stated capacity due to software, formatting, and other factors.
- Suggested expansion of 8x DRAM based on internal performance testing across a variety of industry standard benchmarks.
- Endurance rating based on 4KiB random write workload.
- The warranty for the product will expire on the earlier of (i) the date when the flash media has reached oneerson (1%) of its remaining life or (ii) the expiration of the time period associated with the product.
- Results will vary based on application and workload
- Memory capacity is indicated by GiB and TiB and based on binary values such that one gibibyte (GiB) is equal to 230 bytes and one tebibyte (TiB) is equal to 1024 GiB (240) bytes. Storage capacity and endurance is indicated by TB and PB where one PB equals 1,000TB. Accessible capacity can vary from stated capacity due to software, formatting, and other factors.
- Suggested expansion of 8x DRAM based on internal performance testing across a variety of industry standard benchmarks.
- Endurance rating based on 4KiB random write workload.
- The warranty for the product will expire on the earlier of (i) the date when the flash media has reached oneerson (1%) of its remaining life or (ii) the expiration of the time period associated with the product.
- Results will vary based on application and workload