注册并分享邀请链接,可获得视频播放与邀请奖励。

与「Amazon初売り2023」相关的搜索结果

Amazon初売り2023 贴吧
一个关键词就是一个贴吧,路径全站唯一。
创建贴吧
用户
未找到
包含 Amazon初売り2023 的内容
おうち時間をより充実させるために、1/3から5日間開催されるAmazon初売りで、家の音響設備をパワーアップさせるぞー! ワクワクがいっぱいの素敵な2023年が過ごせますように。 #初売り# #Amazon初売り2023# #Sponsored#
显示更多
0
32
3.7K
114
转发到社区
新年明けましておめでとうございます🙇‍♀️🎍 本日より Amazon初売りセールスタート🌄✨ 1月7日23時59分まで Aimmx全アイテムを【10%OFF】で販売🫶🏻❤️ プライム会員様はこの機会を是非、お見逃しなく!👀 #Amazon# #初売りセール#
显示更多
【NVIDIA NeMo Switchyard在Amazon Bedrock上为编码智能体请求分配合适模型】 AWS机器学习博客11月13日发文,6位AWS和NVIDIA作者介绍在Amazon Bedrock上为编码智能体做模型路由。 作者主张用每个解决任务的成本衡量路由,而不是每个token的单价。 示例把开源网关LiteLLM和Switchyard插件部署在Amazon ECS Fargate的私有子网里。 LiteLLM通过Bedrock Converse API调用模型,流量经过VPC接口端点进入Bedrock。 能力较强的模型使用Claude Opus 5.5,高效模型使用NVIDIA Nemotron 3 Super 120B。 Stage策略读取近期工具结果在两个模型之间选择,信号不明确的时候默认使用高效模型。 Random策略按照权重分配流量,适合A/B测试,两种策略都不调用评判模型。 作者表示只在两个任务上跑了几次,不足以得出成本或者质量结论,示例只适合非生产账户。 我觉得现在只给了部署模板,团队需要自己用bench脚本量出每个任务的实际成本。 来源:AWS Machine Learning Blog · 2026-11-14
显示更多
2015年——你错过了英伟达(NVIDIA)。 2016年——你错过了特斯拉(Tesla)。 2017年——你错过了比特币的爆发。 2018年——你错过了亚马逊(Amazon)。 2019年——你错过了微软(Microsoft)。 2020年——你错过了苹果(Apple)。 2021年——你错过了特斯拉的第二波行情。 2022年——你错过了英伟达在人工智能领域的爆发。 2023年——你错过了超微电脑(Super Micro)。 2024年——你错过了博通(Broadcom)。 2025年——你错过了帕兰提尔(Palantir)。 2026年——你还会错过什么?
显示更多
0
104
209
24
转发到社区
2016年にやるべきだったこと ・ビットコインを買う ・NVIDIAの株を買う ・Amazonの株を買う ・都内のマンションを買う 2026年にやるべきこと↓
0
6
105
19
转发到社区
2015 — You missed NVIDIA. 2016 — You missed Tesla. 2017 — You missed Bitcoin’s breakout. 2018 — You missed Amazon. 2019 — You missed Microsoft. 2020 — You missed Apple. 2021 — You missed Tesla’s second run. 2022 — You missed NVIDIA’s AI ignition. 2023 — You missed Super Micro. 2024 — You missed Broadcom. 2025 — You missed Palantir. 2026 — What are you still missing?
显示更多
0
116
1K
85
转发到社区
Breaking: Renaissance Technologies just filed its Q3 2026 13F They sold 99.7% of their Nvidia $NVDA, weeks before the Jensen Huang scandal Here’s everything you need to know about its recent 13F Top 10 positions: 1. Micron $MU: $1.62B 2. Advanced Micro Devices $AMD: $1.21B 3. United Therapeutics $UTHR: $908M 4. Intel $INTC: $835M 5. Alphabet $GOOGL: $828M 6. UnitedHealth $UNH: $817M 7. Exelixis $EXEL: $747M 8. VeriSign $VRSN: $649M 9. SpaceX $SPCX: $621M 10. Corcept Therapeutics $CORT: $559M New positions: • SpaceX $SPCX: $621M • Bank of America $BAC: $351M • Goldman Sachs $GS: $245M • VanEck Semiconductor ETF $SMH: $186M • Booking Holdings $BKNG: $183M Biggest adds: • SanDisk $SNDK: +5,451% shares • Micron $MU: +619% shares • UnitedHealth $UNH: +507% shares • Advanced Micro Devices $AMD: +140% shares Biggest trims: • Nvidia $NVDA: -99.7% shares, was $1.42B • Meta $META: -99.9% shares, was $1.14B • Apple $AAPL: -99.8% shares, was $459M • Amazon $AMZN: -99.5% shares, was $546M • Palantir $PLTR: -71% shares, was $883M Full exits: • Blackstone $BX: was $185M • S&P 500 ETF $SPY: was $164M • Marvell $MRVL: was $151M • Danaher $DHR: was $145M Summary: Renaissance dumped almost all of its Nvidia, Meta, Apple and Amazon and moved the money into memory chips, AMD and SpaceX
显示更多
0
21
437
88
转发到社区
Dylan Patel says Nvidia’s next CEO has to hold off OpenAI, Broadcom, Google, Anthropic, Meta, Amazon, and AMD chip teams, who are all 'fucking good' “It’s not like you’re fighting, no knocks against Palo Alto Networks, but their competitors are not that amazing, versus Nvidia’s fighting an OpenAI chip team, a Broadcom chip team, a Google chip team, an Anthropic chip team, a Meta chip team, Amazon chip team. These guys are fucking good. AMD. They’re all really good, and all these startups.” “They’re all good. It’s not like they’re incompetent. I think it’s very different. As great as Lisa Su is, she took down Intel, who’s incompetent.” “What is the person who defined a category and created it and kept all the invaders at bay? It’s very different than being second place or making smart tactical business decisions, innovating on something once there’s already a category established. It’s just very different.”
显示更多
0
35
794
58
转发到社区
Today we're launching ci-proto, @Continu_Intel's first time-series foundation model. - #1# on fev-bench, ahead of Google, Amazon and Mistral - 64× the context window of others - Open weights and available for commercial use Proud of the team. This is just the beginning.
显示更多
0
52
209
21
转发到社区
Cómo se hizo rica la gente en 2017: • Bitcoin • Dropshipping • Amazon FBA Cómo se hará rica la gente en 2027:
0
4
86
12
转发到社区