3. The Future of Storage
Offload and Maximizing
Not Yet Another Server
But a solution
Accelerating Data Center
Infrastructure
Consumable Computation
Offload
Reducing Storage Costs
DB Turbo
DB Turbo give you higher power, lower cost, exceptional return of
investment than any other solution… try it to believe!
Hardware Acceleration of ZFS and big Data
Clusters!
DB
Turbo
v5.0
4. Turbocharged Data Access with in-line hardware
acceleration
The Future of Storage
Offload and Maximizing
A3Cube is a leader (since 2014) in the development of
Computational Storage acceleration solutions for data
center storage and high performance compute.
When compared to conventional approaches, A3Cube
appliances ensure our cloud and enterprise performance
breakthrough levels of networked storage and
computing efficiency.
A3Cube solutions solve the limitations of CPU-centric
computing for storage and data-compute-intensive in the
simple and easy to use way you can imagine.
Hardware Acceleration of ZFS and not only!
DB Turbo
Model SX & LX
A3Cube
Computational Storage Accelerator
DB
Turbo
v5.0
5. Turbocharged Data Access with in-line hardware
acceleration
The Future of Storage
Offload and Maximizing
Hardware Acceleration of ZFS and not only!
DB Turbo
Model SX & LX
DB
Turbo
v5.0
Features
Integration into ZFS for efficient data compression (Gzip algo)
offloading
Transparently
benefit ALL apps
High
Performance
High space
efficiency
Low CPU utilization
Cost efficiency
6. The Future of Storage
Offload and Maximizing
Not Yet Another Server
But a solution
DB Turbo
Hardware Acceleration of ZFS and not only!
Model SX & LX AMD Processor A3Cube™ Computational
Storage in-line Accelerator
High Performance ZFS
Applications
Data
DB
Turbo
v5.0
7. The Future of Storage
Offload and Maximizing
In a Nut-Shell
DB Turbo Performance test comparison:
SYSBENCH MARIADB 800MLN RECORDS 1MLN REQUESTS NO TIME LIMIT 20THREADS CENTOS8.2
We compared the same server (same CPU, Same Memory, Same Disks
Configuration) One with A3Cube Engine, and the other without A3Cube Engine
DB Turbo is 19x faster than equivalent server
Equivalent
Server
DB Turbo
Optimize CPU
computing power
Hardware Acceleration of ZFS and not only!
Model SX & LX
DB
Turbo
v5.0
8. The Future of Storage
Offload and Maximizing
In a Nut-Shell
DB Turbo
Hardware Acceleration of ZFS and not only!
Model SX & LX
DB
Turbo
v5.0
GENOMIC DATA INSTENSIVE ANALYSY
SAMTools 1, five operations involving read/write I/O
8 processes (multi-thread) in one client to manipulate 76GB
genomic data
1- Samtools is a suite of programs for interacting with high-throughput sequencing
data. (Samtools (htslib.org))
DBT*
(*)DBT = DB-Turbo™
9. 90%
Lower Total
Cost
Up to 10x
More Storage Capacity
60%
Lower Power Consumption
A Game Changing Server for Data
Acceleration
A3Cube turbocharged storage technology delivers the flexibility to
accelerate a range of applications by leveraging hardware-based
compression offloads with unmatched scalability, performance and
efficiency.
The Future of Storage
Offload and Maximizing
Turbocharged Data Access with in-line hardware based
transparent compression
DB Turbo
Model SX & LX
DB
Turbo
v5.0
10. Tangible Benefit on both
Capex and Opex
The Future of Storage
Offload and Maximizing
DB Turbo
Model SX & LX
DB
Turbo
v5.0
It really boils down to the TCO, or total cost of ownership.
Examples:
• A storage system that uses accelerated compression to
decrease the total required capacity vastly reduces
storage footprint and subsequent costs.
• Application efficiency also reduces the thermal
footprint of a datacenter or computing cluster,
lowering energy costs.
• Improved efficiency and reduced active power for
security and compression translate to reduced
infrastructure.
11. Tangible Benefit on both
Capex and Opex
The Future of Storage
Offload and Maximizing
DB Turbo
Model SX & LX
DB Turbo is the unique market available
platform that solves the problem to have high
storage and data processing performance and
low Total Cost of Ownership
Best Data access Performance
Storage capacity optimization
Faster computation tanks to transparent CPU
offloading
DB
Turbo
v5.0
12. DB-Turbo Applications and Markets
The Future of Storage
Offload and Maximizing
DB Turbo
Model SX & LX
MySQL
MySQL is an open-source relational database management system. Its name is a
combination of "My", the name of co-founder Michael Widenius's daughter, and "SQL",
the abbreviation for Structured Query Language.
Microsoft SQL Server
PostgreSQL
Microsoft SQL Server is a relational database management system developed by
Microsoft. As a database server, it is a software product with the primary function of
storing and retrieving data as requested by other software applications—which may run
either on the same computer or on another computer across a network.
PostgreSQL, also known as Postgres, is a free and open-source relational database
management system emphasizing extensibility and SQL compliance. It was originally
named POSTGRES, referring to its origins as a successor to the Ingres database
developed at the University of California, Berkeley.
DB2
MariaDB
MariaDB is a community-developed, commercially supported fork of the MySQL
relational database management system, intended to remain free and open-source
software under the GNU General Public License.
Db2 is a family of data management products, including database servers, developed by
IBM. They initially supported the relational model, but were extended to support object-
relational features and non-relational structures like JSON and XML.
DB
Turbo
v5.0
13. DB-Turbo Applications and Markets
The Future of Storage
Offload and Maximizing
DB Turbo
Model SX & LX
Brytlyt
This GPU-accelerated database and analytics platform can cost-effectively query
multibillion row datasets in seconds. Built on PostgreSQL, the database is smoothly
scalable, supporting flexible addition and removal of GPU-acceleration nodes. It is
optimized for real-time insights on large and streaming data sets and supports easy
integration with existing code, analytics, and visualization systems.
BlazingDB
This GPU-accelerated data analytics platform runs fast, simple, SQL quries on massive
data sets. Optimized for data warehousing workloads, the SQL engine runs on a cluster of
distributed GPU servers and leverages multi-tiered storage media (RAM, SSD, HDD)
throughout the compute clusters. It vectorizes SQL operations for execution on thousands
of processing cores for each server in a cluster. It enables users to create separate GPU
clusters for different workloads, all running off the same original data source but without
anyone being able to impact others’ workloads.
Kinetica
This GPU-powered data analytics engine uses in-memory storage and distributed
processing, up to 6,000 cores in parallel. It can perform standard SQL queries on billions
of rows in microseconds while concurrently visualizing results, executing machine-
learning models, and ingesting large amounts of streaming data. It provides native
support for geospatial objects and comes with a suite of geospatial functions for filtering
data by area, by track, custom shapes and more.
MapD
This GPU-powered SQL data platform uses in-memory storage and also leverages modern
SSDs for persistent storage, It boasts micrsecod query processing performance in the
billions of rows. It compiles SQL queries with a just-in-time LLVM-based compiler into
machine code that can run on Nvidia GPUs as well as X86 or Power CPUs. It intelligently
caches hot data in main memory and GPU VRAM. It parallelizes computation across multiple
GPUs and CPUs, as well as execute entirely on CPUs. It replicates data across multiple
servers for resiliency and redundancy to meet service level agreements.
And more …
DB
Turbo
v5.0
14. DB-Turbo Applications and Markets
The Future of Storage
Offload and Maximizing
DB Turbo
Model SX & LX
E-Commerce Data-Analytics Data-Warehouse
Telecoms Finance Logistics
Retail Oil & Gas Automotive
DB
Turbo
v5.0
15. The Future of Computational Storage Solutions
Offload and Maximizing
DB Turbo