Data Infrastructure Engineer
Enable Capacity for Tomorrow's
Needs but with Today's Budget
Design and future-proof your data systems according to the analytics workloads most impactful to your team and business
BUILD DATA SYSTEMS FOR BUSINESS GROWTH, WITH ANALYTICS CAPACITY THAT STARTS IN THE DATA CENTER
While analytics represents the data center's largest, most resource-intensive workload, data teams are currently handicapped by infrastructure lacking the parallel-processing speed and scale required to deliver transformative business insights. With Speedata, data infrastructure engineers can focus on what they do best: create systems aligned to current and future analytics priorities, not endless maintenance, budget battles, and governance headaches.
Constrained by generic CPUs or GPUs not meant for analytics, infra planning can get bogged down in past trends and budget negotiations. With an APU built for the largest yet most under-resourced workloads, planning cycles accelerate business priorities, rather than anchoring against years-old tech assumptions.
FUTURE-PROOF ANALYTICS WITH RIGHT-SIZED PLANNING
AVOID COMPLIANCE RISK AND GOVERNANCE OVERHEAD
Data infrastructure engineers not only set and enforce systems policies, but must also contend with the fallout of non-compliance. Speedata's APU, built for analytics efficiency, speed, and scale in the data center, also reduces the serious risk and spiraling cost of shadow deployments in the cloud.
“I saw firsthand how Speedata's APU is opening the door for breakthroughs... With the unprecedented performance of this accelerator, analyzing data for drug discovery can be done in minutes, not hours — with endless lifesaving implications. This is only the beginning of hardware acceleration use cases.”