on Today, top exceeded afternoon, encouraged progress $X.X we joining everyone, guidance our operating on which in We're our and experiences; we're are cost new can serve customer reporting business; to and of lowering improve business customer thanks innovate in possible and continuing Dave. our billion us. stores meaningfully priorities, key the revenue to various experiences for and several end for building the $XXX.X in making what's namely: of billion long change customers in you, Good our by ranges. Thank both term. income, that our
area areas. our serve the to improvement stores' I'll decision inventory our serving start transportation meaningful in of expensive and with keep lower several our geographic have fulfillment has efforts to less saw steadily quarters. get network made the to each stores' in progress another separate States from We network to in effort United X as this in cost smaller the selection products X regions to of to series and to making network. been we customers. broad QX ongoing a fulfillment region, a national faster our our Central those transition last it
in reduction now X,XXX progress. within number touches of in increase point miles package, deliver is basis XX% customers in Regionalization a of fulfilled reduction to has which XX% than to lot XX%. more and our working packages a region, and deliveries for a is This is delivered delivered traveled at
higher is I incorrect. faster things There it chasing argument its the while where customers. This hear doesn't note. matter make Sometimes Amazon are and to much costs speed people driving is X to argument that
delivery. lot about a care faster customers First,
us for changes It's that not can their higher, also know really data using quickly, their have when lot get page, purchases, meaningfully just little when purchase We faster customers promises items detail future they delivery too. make higher. a that true on it we often, shows of a more consideration a of customers
result is work Second, mechanism logic and in-stock fulfillment side, and the of transportation, gets by distances, invention which driven faster that of when to It's cost placement they have to to expensive, environment. and the of is lot on shorter is regionalization closer are There's This equation. ability closer in one our which our our travel a there fulfillment less too. in same-day algorithms. local shipments for fastest come the development of expansion lot least goodness customers also shipments and better of that from fulfillment centers facilities, customers, and a
are of nearby of the SKUs, millions but metro largest customers. centers around XXX,XXX facilities that in for getting number being SKUs streamlines so of these facilities. top-moving inject diminishing facilities into as planning items been in are the these improving we from and minutes. ready has XX same-day located design in that as and law far for order we're Our same-day that the The from delivery for fulfillment little other customers that our our positive cover have also speed to so from returns areas the to selection experience business believe double U.S., a We
long but at from short make past easier relentlessly constantly every every this we're We're trying to in be customer future businesses. in our additional inventing customers' we structural this efficient can do still believe lives serve of the fulfillment regionalization to experiences While it day further. excited focused improve more that productivity about and that and term. and this improve will means every structure This one so. heart results we is also reevaluated upside. can year part we we early of to what can making This day this effort, provide cost every which work also network improvement, on see and across we maniacally strong better make seeing customers to and experience of We've we remain virtually deliver changes ways see our several
spend can various examples this hour teams. across I an And on detailing call the
AWS businesses. stores just our and For today, focus on I'll a bit
selection, especially focused faster providing been we've even we've priorities providing speeds. our And to on continue low great as stores, and delivery For discussed, customers convenience. with be prices
speed more at Prime been than areas, faster. In largest Our the orders of next same U.S. arrived has delivery of metro or day. day across last quarter, half the XX never this top members'
So delivered more what Prime units Xx far X.X those this point next or at we U.S. than day, to the nearly billion members speeds year, we've delivered XXXX. same by in this
selection than cost In us in not to only points. lower going now sizes Lowering items shipping, which U.S. and serve delivery. with million we're the same-day both but and our with have essentials, to available in avoid choose items at free with XXX get improvements tens items to with growing speed free out of everyday frequency more customers allows millions our to also including more these enabling shop Prime basket price these customers selection add to particular, our X-day us. increasing invest We and of
that dollar of We're with of stretch continuing to deals more. great help focus customers their tens millions value or on providing
offered QX For deals of offered Prime with QX billion 'XX, any of and Day million more XXXX. helping more biggest worldwide more products. it a store, items millions instance, the similar. in ever. members $X.X across deals we Prime XXX more purchased than event Day Prime the customers make than wide Amazon did Amazon than and saved we XXX% was of past in selection Day coupons than Prime across
for see partner of and to infrastructure words over over customers with while and leader tell Next, breadth number almost the why been position last important with AWS a other size several that many doubled way factors in to respect us care years the of all customers, few customers provider. clear elsewhere. so. AWS a the the continue I importantly, AWS. has the of performance. revenue talked significant years they AWS the as do operational the factors mentioned has any grown ecosystem, have business' orientation strongest and to of about about cloud customer why very the AWS These and has focus these different leadership functionality for are remains drivers of AWS success, AWS I've it big And may
to customers uncertain and to reallocate drive that year, has optimizing proactively challenging economy initiatives their more started the helped customers spend new customers innovation bringing cloud. and optimize do the to And quarter, have shift the the this newer driving time seeing growth. continued As needed towards we've last assistance over cost during withstand to been this. customers AWS focus We've workloads have while second better
revenue stabilize QX rate we've reported growth growth. where during a As year-over-year seen AWS' XX% we result,
AWS The team and customers what's possible for continues change to clip. at innovate rapid a
networking, see of and across can storage, database, where leads product array and these other learning, and unusual. continued invention compute, areas, in solutions among pretty data is areas delivery machine categories You in the AWS AWS the
enable to our more to all purpose design few a own we that, wanted ways we ago, down consistently that silicon do to they realized For set way find and compute. that years chips. rethink from to generalized to And CPU out instance, customers price performance the we things the general needed to heard
layer than Graviton AI XXX now. of more talking price very has generative better same use of consumer people of the opportunity. including than the XX,XXX and leading our to and AWS with reimagining remember AI, ECX Today, Compute is that happening success xXX processors. customers done most top early instances, about right Amazon but has we're XX% and of and layer, of chips in chips the It's The are is days imagination, what these ChatGPT. only performance the about XX have AI OpenAI Generative captured AWS' customers, that application in important other one applications people's adoption specifically sort generative
in Amazon opinion is and required layers, powered are the in. compute and having HXXX ECX AI generative GPUs think instances in large or large train large models models and foundational the We which At of language excited applications. by key lowest inference which X generative make to very predictions. all to is are do Customers as develop our NVIDIA investing of PX heavily of models by train AI layer all AWS
and date, been the viable everybody to one option there's in for supply only market been has scarce. However,
and and in That, language chips on run and of expertise own that us inference several building a their inference called along option already built will training Trainium large chip and for ago with model prompted second be start versions very for called AI training future. our and several performance appealing are last that the customers language years on lot AWS' the over large Trainium working price we've We're chips to Inferentia are on Inferentia models. years, the a running optimistic custom
the all Stepping being years models, back to for us second, models service. language We have models, platform multiple the security, large without as them they of large proprietary middle language their a to takes managed want to this those that and have tell with wrapped enhanced into resource language general to develop. large their customize it with building data work all to leaking a billions AWS access Most companies they develop these new model, service. think and data Rather, in don't privacy model want then that dollars want features consume a the in as of layer themselves. own it and
and create capabilities offers Ryanair, allow generative Associates, X actions. proprietary Cohere using based execute Stability aforementioned is create to language one Bedrock models customers including models This all And language Amazon our access XL announced with Anthropic's service X.X Customers, like multiple from just that agents does Showpad but Stability Coda, called Stable Bedrock developed well these and language not deliver Labs, own to agents models up-to-date customers their with and companies Planet, data we Diffusion to just including Cohere, from what XM, application. on to model from as AIXX Bedrock, recently leading and Omnicom, of personalized conversational are Amazon's AI's Lonely Amazon answers and Bridgewater new large Bedrock model Anthropic, to for Titan. large AI, capabilities Claude new Travelers as AI large
has large own are talked these part fashion, these choice for being generative their doing been in it accessible and I've only customize about infrastructure option, what everybody language access doing about, model enterprise-grade AI instead and much very for lowering we're of and to first companies you build making model a there to and access last enabling secure acumen technology running years. models, XX making generative democratizing language AI, is think over to technical and AWS If of of of X simpler sizes applications all what generative training the cost the one AI of all large layers to
of these lot the have the top Then that actual are a layer where that attention is focused, these and large on models. applications run top publicity language and of
why AI developer as companion, generative code early respect As the one which a off directly the code they code. companion. an mentioned, It's we with We game AI-powered accelerating a I editor, coding It's start is coding compelling ChatGPT built developer and strong Amazon believe productivity to applications an in of snippets changes recommends example. very is the CodeWhisperer, productivity. to
every while largest Remember, data. we core that is other People by building built ourselves, the on teams not number Amazon, bring and of to of Inside AI applications models But be will customers' AI a will on applications companies, data, of generative optimistic that most our number will experience. be is and AWS. the want other these we're the enhance of to generative the reinvent way around. working one these AI built their build
of else. than enterprises management unmatched we at for has feel only comfortable and customers, partner AWS has AI applications well it long-term security with services generative providing the of as as database, stack customers to with layers anybody required in analytics store AWS customers not array be is these to the choice data also X AI customers' production, into Bedrock's choices enterprise-grade generative generative more putting for AI. data of broadest poised that's think Coupled and storage,
long also new of run a change meaningfully in business value, fastest-growing with to team convenience further working progress can continuing customer customers Buy that the term. We're sales the what's is customers with business need. features hard offerings that in possible billion build one Prime experiences And make annual rate. and $XX gross out selection, is is meaningful for of conversion announced our continuing lot XXx Amazon activities, daily building in shopper Business Also, to in sales real to which progress. average, difference Day Buy their merchants we Day. experienced increase aggregate, a Prime event Prime month who early a business. before makes the participate use with saw increased Prime Prime versus in Buy by Merchants trials period XX% with their on the who to orders show in during a our
a been we've we receive A short door. tried response what year, active It's segment. the frankly to and to were invest been seeing just eligible experiments. past we're to time in significantly only pleased doubling Pharmacy But customers pleased with and Amazon decided of its market in with that part have the amount RxPass, the Amazon health One Medical care their we're before of lot by which of to there, enables too. a Prime few of encouraged for generic and them we're members a for $X their all month we're medications free now delivered has what just months smaller
already And organic Whole in Our growing we have more continues grow pet effectively. that allows improved having to the store cost We grocery sell to meaningfully is out keep like has Whole Amazon increasing on canned and areas and lowering physical to rolled we're Foods. we're business offering, the which continues new business speed to number profitability items I've serve, space, significantly formats mass what beauty as and a clip cost year. with business healthy lead with a pleased very nontemperature-controlled seeing its before, We're grow. and our concepts goods our to new Fresh, working Foods improved more in consumables, continues just large in key of the the stores. us inputs as in at food, grocery last shared
opportunities Alexa. and early inventions We're progress to technology long-term remain possible many also changing in areas, they're Kuiper, our in optimistic are customers in we about. investments of with like but deliver still We areas and that Zoox for these substantial innovation what's other see relatively big that
to to Top work over States. our in It's upskilling being and compensation Grow I great in a Brian. benefits opportunities. to on that, leading your the Career employer with it testament to recognize #X named to want a I'll Finally, be Companies With United our LinkedIn's teams turn