tpcbenchmarks retweeted
From 70 years of #AI evolution to the future of DB × AI.
At the 2026 Time Series Tech Innovation Summit, Prof. Mohan @seemohan shared insights on AI’s evolution, global trends, Agentic AI, and the growing convergence of AI and databases.
medium.com/@timechotech/pers…
tpcbenchmarks retweeted
As a TPC member, we’re glad to support the continued advancement of rigorous database performance benchmarking.
At @VLDBconf, we’re also sharing our latest GPU-native database performance breakthroughs.
#VLDB2026
Come see us at @VLDBconf where we are hosting the Eighteenth TPC Technology Conference on Performance Evaluation & Benchmarking!
tpc.org/tpctc/tpctc2026/defa…
Come see us at @VLDBconf where we are hosting the Eighteenth TPC Technology Conference on Performance Evaluation & Benchmarking!
tpc.org/tpctc/tpctc2026/defa…
TPC is proud to sponsor #VLDB2026. We'd love to talk with you about current benchmarks. Come join TPCTC at VLDB, Monday August 31st from 8-5.
tpc.org/tpctc/tpctc2026/
TPCTC26: List of accepted papers have been published on the TPCTC26 website: tpc.org/tpctc/tpctc2026/defa… Stay tuned for the schedule.
TPC is working on Version 2.0 of TPC-E which will have a reduced number of Initial Trade Days (ITD) from 300 to 90. This will ease running the workload and better simulate more general OLTP environments. Version 2.0 is in development and will be released in mid-2026.
The TPCx-BB committee is exploring mental changes to increase sponsor engagement and better with industry trends. Key ideas: simplifying software and hardware requirements, enhancing accelerator support to showcase modern hardware capabilities, incorporating gen AI elements.
§ TPCx-AI now treats each stream in the throughput test as a user equivalent, essentially recognizing both human and non-human users equally.
TPC-E Version 2 is under development. It has reduced number of Initial Trade Days from 300 to 90 for ease of benchmarking and is closer aligned with more general OLTP environments.
TPC is considering adding an energy metric to TPCx-AI. Want to participate? Contact us at [email protected]
TPC is considering support for GPU based TPCx-AI benchmark results. Want to participate? Contact us at [email protected]
TPCTC is about to start. Watch out for an interesting agenda: tpc.org/tpctc/tpctc2025/defa…
For AI TPC is actively evaluating GenAIPerf workload across NVIDIA and Intel Gaudi based platforms, observing consistent scaling trends in throughput and latency across models like Llama 3.
TPC releases the latest version of TPCx-BB v1.7.0, its flagship benchmark for evaluating end-to-end data analytics systems. This version introduces
compatibility with Spark3 for executing the benchmark's machine learning queries.







