Get this- your mechanic will soon have *everything* to know about your car at their fingertips when you go in for service- and Roli will be helping make it happen behind the scenes! https://t.co/gQS05NrY82
Research Help Needed - Implementing AI in the Enterprise
You: CEO, CTO, VP Engineering, etc.
Are: Considering corporate AI strategy
We: Researching how enterprises plan to integrate generative AI & LLM's safely
Get: Results of the…https://t.co/oJZC36qXZc https://t.co/2rtU2bFRwg
Seems every interview with @adi_gelvan covers new ground for the uninitiated: CRUD and Immutable SST were todays gems! @speedb_io
Data engines: What's under your hood? | TechBeacon https://t.co/x6VOdwUxSE via @TechBeaconCom
Some notes on why this is huge!
- COST: >= 1M ops/sec on a single VM while retaining cost-effectiveness by storing up to 80% of the datasets in SSD.
- SCALE: #redis on flash on I4i with Speedb scales almost linearly as showcased going from i4i.4xlarge to 8xlarge to 16xlarge VMs.
@KamEshghi shares his insights on persistent storage for #cloud-native applications using #Kubernetes on @ForbesTechCncl. Read the article and let Kam know what you think by leaving a comment or sending a DM. https://t.co/XpGHshGsp8
Always unique front-end requirements, and specialized back-end capabilities. Multi this, unify that. Next, next, next. Yet silo’s continue. So much for the ‘data lake’, it’s more like a whole lot of ‘puddles’. Ohh 2.0. Say no to 3.0. Time for the future 1.0