Introducing the C200 analytics accelerator
Speedata C200 is the industry's first analytics accelerator card, housing our Analytics Processing Unit (APU) chip. It is optimized for high-bandwidth data processing and delivers dramatic acceleration for Apache Spark workloads. With its PCIe connectivity, it is engineered for seamless integration into standard server configurations.
Flexible Server Deployment Options
Speedata makes it easy to bring the power of the APU to your data center. Customers can choose between two flexible procurement models:
Buy Pre-Configured from Speedata
Get a fully integrated 2U server with two C200 analytics accelerator cards, pre-configured and ready to accelerate Apache Spark workloads out of the box.
Source from OEM Partners
Get servers equipped with the C200 analytics accelerator cards through trusted OEM providers like HPE, with the flexibility to customize the server model and configuration to best fit your needs.
${SPARK_HOME}/bin/spark-shell
--jars speedata-dash-0.8.1-spark_2.12.jar \
--conf spark.plugins=com.speedata.spark.DashPlugin \
--conf spark.speedata.apus=1
Seamless integration with Apache Spark
Speedata’s Dash software transparently plugs into the Spark Catalyst optimizer to automatically identify and offload compute-intensive work to the APU. It automatically delegates to the CPU the handling of SQL elements such as UDFs that cannot be accelerated, while still handling the rest of the query, guaranteeing great performance.
[-} Total Time | Baseline | Baseline with APU |
|---|---|---|
Total Time | 4m3s | 13.0s |
Overhead Time | 1.0s | 0.7s |
I/O Time | 1.8s | 1.7s |
Compute Time | 4m0s | 10.6s |
Spark Workload Analyzer
The Workload Analyzer is a standalone tool for analyzing Apache Spark event log files and identifying the projected acceleration that Speedata will deliver for your workloads. You can quickly learn which queries will benefit the most, will a faster network have a big impact on your APU environment or not, or see a detailed per-stage analysis of the benefits or limits.
Baseline
Baseline with APU
13.0s
4m3s
0
24.3s
48.7s
1m13s
1m37s
2m1s
2m26s
2m50s
3m14s
3m29s
The APU speeds up your query by 18.7X
From 4 minutes and 3 seconds to 13.0 seconds
Time Breakdown Analysis
Query Execution Time
