Stop Wasting Compute
on Data Bottlenecks
Free up capacity for your most valuable analytics workloads
Data is exploding, yet most enterprises cannot fully capitalize on it. Today’s CPUs were not built to handle today's massive-scale analytics - leaving compute underused, SLAs missed, and critical projects delayed or shelved.
To meet the rising demand, organizations need a purpose-built processor that eliminates performance bottlenecks at the hardware layer. That’s where Speedata comes in: a new class of silicon, engineered specifically for data driven workloads.

Speedata’s early adopters have already seen an average of 50x better performance over CPUs for critical Spark workloads, with a path to 100x improvement. And head-to-head tests against GPUs have yielded an average 91% capital reduction for the Speedata APU, plus an expected 94% space savings and 86% power savings.
100X Faster Performance and 90% Cost Savings
Price Performance Improvement Factors for TPC-DS
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Analytics at the Speed of Silicon
Speedata’s C200 Analytics Processing Unit (APU) is the first processor architected specifically to accelerate analytics workloads - one of the most compute-hungry, cost-intensive tasks in the data center.
By offloading and accelerating these operations at the hardware layer, the APU delivers breakthrough price-performance - allowing data engineers to process massive datasets in record time.
Ideal for complex analytics pipelines, ETL workflows, and AI data preparation, the Speedata C200 APU finally gives modern enterprises the silicon their data deserves.
Accelerate time to insight by 100x
Uncover patterns and trends faster than ever before.
Tackle complex queries with ease
Answer questions that were once computationally impossible.
Fuel AI and predictive analytics
Prepare high-volume datasets for advanced modeling in record time.
Boost Revenue & Insights
Do more with fewer servers
Maximize throughput while minimizing hardware sprawl.
Shrink your data center footprint
Reduce energy consumption and space by up to 95%.
Recover hidden costs
Avoid delays, missed deadlines, and abandoned analytics
Cut Costs Dramatically
Make analytics workflows interactive
Turn batch jobs from hours to minutes.
Test, iterate, and scale faster
Empower teams to refresh and expand data without delay.
Free IT from infrastructure headaches
Reduce the burden of maintaining CPU-heavy clusters.
Supercharge Productivity