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The Rabbit R1 wowed the tech world at CES 2024 earlier this year, and it's now been confirmed that the first 10,000 of these little AI-powered gadgets are going to be heading to the first people who preordered them in the US and Canada from Sunday, March 31.

As per a Rabbit post on social media (via Engadget), the first batch of devices will start leaving the factory on that date, though they may take three weeks or so to get into the hands of customers, due to various international and US customs processes.

If you were one of the first 10,000 people in the US to get your name down for a Rabbit R1, you can expect it around April 24th, Rabbit says. Of course there's always the chance of further delays, but that's the current estimate.

According to the FAQ on the Rabbit website, the second batch of orders will be shipping in April and May, with the third batch heading to customers during May and June, for US and Canada addresses. If you're in the UK or EU, shipping is expected to start by late April.

If you're completely new to the Rabbit R1, it functions a little like a smartphone, only there's an AI assistant doing all the jobs that apps normally do queueing up music, taking photos, booking hotels, and so on and so on.

In fact, the Rabbit software is clever enough to interact with your mobile apps, once you've shown it what to do. It's an interesting new take on the pocket computer, and it's attracted a lot of early buzz in the industry.

We know the Rabbit R1 is going to be powered, at least in part, by the Perplexity AI engine: this means you'll be able to chat with the device in the same way as you would with ChatGPT or with Copilot from Microsoft.

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You can still order the Rabbit R1 from Rabbit for $199 (about 160 / AU$305), though it might be a while before you get it. Rabbit CEO Jesse Lyu recently shared a demo of the device in action, if you want to get a feel of how it works.

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The first batch of Rabbit R1 AI devices will be shipping next week - TechRadar

Spring is in the air, the trees are starting to become more green and the weather is getting warmer in the northern hemisphere. As thoughts turn to picnics and outdoor adventure, why not turn to technology for inspirational ways to mark the changing season?

Google Gemini is an incredibly power artificial intelligence tool, but as with any tool, you can often suffer from the same blank page problem when opening it for the first time ever or even the first time in a day.

That is in part why I created the Prompt_Jitsu column. A way to share prompt ideas that anyone can try and possibly get inspiration to do something fun. This week I am turning to Google Gemini again, but with the idea of spring as inspiration.

Prompting any artificial intelligence chatbot can be hit and miss. More often than in the past, you do get exactly what youd expect, but sometimes it throws you a curveball. Check out our guide to using Google Gemini if you haven't tried this chatbot before.

Ive tested each of these prompts in the free and Gemini Advanced versions of the Google chatbot and they worked fairly well but if you get something completely obscure, Id love to hear about it.

We're going to start with an image prompt. Google Gemini can't generate images in the UK or much of Europe so you'd need a VPN, or the same prompt would generate a descriptive scene rather than a picture which can be fun.

The prompt I've picked: "Generate a colorful Spring-themed image featuring a picnic in a field of wildflowers."

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This will create a cartoon-like generic image of a picnic scene. You could further refine the prompt by replying to the images by typing something like "add the word Spring to the picture. If you put the word in " " marks, it will improve the text quality.

Next up, we need some food to go with that picnic. We're going to do this over a couple of prompts. The first is a simple one and will get a different result most times you try it although I've been wrong about that in previous weeks.

The prompt: "Suggest. delicious savory dish for a Spring picnic". Gemini should give you something like a salad, skewers or a frittata, and this is where prompt two comes into play, as this is not a "one shot" idea.

Next up you'll need to pick one of those recipes, or ask it to suggest some more. If you're happy say "give me the full recipe for x". In my case I asked for a full frittata.

The recipe required parmesan cheese, milk, eggs, thyme, oil, onion, asparagus, peas, goat cheese and herbs. The full recipe is on the Prompt_Jitsu GitHub repo.

We've got the picture and the food, now we need something else to do on the day. This is something Google Gemini can be good at, so I've asked it to "plan a perfect Spring day itinerary for a family with kids ages 5-12."

You can adjust the ages or even remove the kids part completely and ask for a fun day out on your own or with a partner. You could even use Gemini to plan a day with the boys or girls it should be able to adapt.

For me, it suggested that between 9 a.m. and midday we "embrace the outdoors" with a visit to a park or botanical garden and let the kids run free. After our amazing picnic, the chatbot said we should visit an art studio or pottery place for the afternoon.

After we wind down at home after a busy, fun-filled day, why not enjoy a story about the spring? This is something Gemini is very good at doing.

Use this prompt: "Write a short, whimsical story about a talking flower that blooms in the Spring." Or adapt it to suit your own circumstances, even putting the names of your children into the prompt. For example, have the chatbot call the flower after your kid.

I didn't do this and Gemini called the flower Primrose. She told of faraway lands where exotic flowers bloomed and of whispering rain showers painting the meadow green. You can read it on my GitHub.

After all that talk of talking flowers and from inspiration gained while being out and about in our fictional family day in the botanical garden, let's design a garden.

The prompt: "What are some tips for planning a successful Spring garden, including recommended plants and layout ideas?" This is another example where multiple prompts will be needed to get exactly what you want.

However, from a single prompt I got planning tips such as "knowing your zone, doing a sunlight assessment and preparing the soil," as well as the idea of planing seasonal vegetables and herbs. Gemini also said to plant tulips, daffodils and hyacinths.

If you want to get the best out of your garden though, check out this guide to preparing your garden for spring from Tom's Guide's homes content editor Cynthia Lawrence.

We all know that children don't get to sleep after the story, they always want one more thing. So why not a haiku about watching baby animals at play?

The prompt: "Create a Spring-themed haiku about the joy of watching baby animals play." You could swap baby animals play with anything you like what about watching monster trucks play or watching dolphins play?

Gemini gave me: "Soft chirps fill the breeze / Fluffy chicks chase butterflies / Spring's heart beats anew."

And for monster trucks: "Mud splatters like blooms / Giant tires churn earth reborn / Spring roars, a joyful wreck."

For this prompt, you want to make sure you've got the Google Maps extension turned on. To do this, click Settings, then extensions on the left-hand menu and toggle the Google Maps button to on.

We'll use Denver, Colorado as our location for this prompt, as there aren't many places to go hiking around me. The prompt: "I want to go on a scenic Spring hike this weekend. Can you suggest the top 3 hiking trails within a 30-mile radius of Denver, Colorado? Please provide trail details like length, difficulty level, notable features, and directions to the trailhead using Google Maps."

This will trigger the Google Maps extension, and Gemini suggested three top-rated hikes in the area, showed them as icons on a map and gave me all the difficulty level details. You can see my full interaction for this prompt on Gemini.

If you enjoyed the prompts this week why share your output with us and then try out aseries of Google Gemini prompt ideas or evenmake a story, song and imagesfrom previous weeks.

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7 great Google Gemini AI prompts to try this weekend - Tom's Guide

REDMOND, Wash., and SAN JOSE, Calif. March 18, 2024 At GTC on Monday, Microsoft Corp. and NVIDIA expanded their longstanding collaboration with powerful new integrations that leverage the latest NVIDIA generative AI and Omniverse technologies across Microsoft Azure, Azure AI services, Microsoft Fabric and Microsoft 365.

Together with NVIDIA, we are making the promise of AI real, helping drive new benefits and productivity gains for people and organizations everywhere, said Satya Nadella, chairman and CEO, Microsoft. From bringing the GB200 Grace Blackwell processor to Azure, to new integrations between DGX Cloud and Microsoft Fabric, the announcements we are making today will ensure customers have the most comprehensive platforms and tools across every layer of the Copilot stack, from silicon to software, to build their own breakthrough AI capability.

AI is transforming our daily lives opening up a world of new opportunities, said Jensen Huang, founder and CEO of NVIDIA. Through our collaboration with Microsoft, were building a future that unlocks the promise of AI for customers, helping them deliver innovative solutions to the world.

Advancing AI infrastructure

Microsoft will be one of the first organizations to bring the power of NVIDIA Grace Blackwell GB200 and advanced NVIDIA Quantum-X800 InfiniBand networking to Azure, deliver cutting-edge trillion-parameter foundation models for natural language processing, computer vision, speech recognition and more.

Microsoft is also announcing the general availability of its Azure NC H100 v5 VM virtual machine (VM) based on the NVIDIA H100 NVL platform. Designed for midrange training and inferencing, the NC series of virtual machines offers customers two classes of VMs from one to two NVIDIA H100 94GB PCIe Tensor Core GPUs and supports NVIDIA Multi-Instance GPU (MIG) technology, which allows customers to partition each GPU into up to seven instances, providing flexibility and scalability for diverse AI workloads.

Healthcare and life sciences breakthroughs

Microsoft is expanding its collaboration with NVIDIA to transform healthcare and life sciences through the integration of cloud, AI and supercomputing technologies. By harnessing the power of Microsoft Azure alongside NVIDIA DGX Cloud and the NVIDIA Clara suite of microservices, healthcare providers, pharmaceutical and biotechnology companies, and medical device developers will soon be able to innovate rapidly across clinical research and care delivery with improved efficiency.

Industry leaders such as Sanofi and the Broad Institute of MIT and Harvard, industry ISVs such as Flywheel and SOPHiA GENETICS, academic medical centers like the University of Wisconsin School of Medicine and Public Health, and health systems like Mass General Brigham are already leveraging cloud computing and AI to drive transformative changes in healthcare and to enhance patient care.

Industrial digitalization

NVIDIA Omniverse Cloud APIs will be available first on Microsoft Azure later this year, enabling developers to bring increased data interoperability collaboration, and physics-based visualization to existing software applications. At NVIDIA GTC, Microsoft is demonstrating a preview of what is possible using Omniverse Cloud APIs on Microsoft Azure. Using an interactive 3D viewer in Microsoft Power BI, factory operators can see real-time factory data overlaid on a 3D digital twin of their facility to gain new insights that can speed up production.

NVIDIA Triton Inference Server and Microsoft Copilot

NVIDIA GPUs and NVIDIA Triton Inference Server help serve AI inference predictions in Microsoft Copilot for Microsoft 365. Copilot for Microsoft 365, soon available as a dedicated physical keyboard key on Windows 11 PCs, combines the power of large language models with proprietary enterprise data to deliver real-time contextualized intelligence, enabling users to enhance their creativity, productivity and skills.

From AI training to AI deployment

NVIDIA NIM inference microservices are coming to Azure AI to turbocharge AI deployments. Part of the NVIDIA AI Enterprise software platform, also available on the Azure Marketplace, NIM provides cloud-native microservices for optimized inference on more than two dozen popular foundation models, including NVIDIA-built models that users can experience at ai.nvidia.com. For deployment, the microservices deliver prebuilt, run-anywhere containers powered by NVIDIA AI Enterprise inference software including Triton Inference Server, TensorRT and TensorRT-LLM to help developers speed time to market of performance-optimized production AI applications.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The companys invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

About Microsoft

Microsoft (Nasdaq MSFT @microsoft) enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more.

For more information, press only:

Microsoft Media Relations, WE Communications for Microsoft, (425) 638-7777,[emailprotected]

Natalie Hereth, NVIDIA Corporation, [emailprotected]

Note to editors: For more information, news and perspectives from Microsoft, please visit Microsoft Source athttp://news.microsoft.com/source. Web links, telephone numbers and titles were correct at time of publication but may have changed. For additional assistance, journalists and analysts may contact Microsofts Rapid Response Team or other appropriate contacts listed athttps://news.microsoft.com/microsoft-public-relations-contacts.

NVIDIA forwardlooking statements

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features, and availability of NVIDIAs products and technologies, including NVIDIA Grace Blackwell Superchip, NVIDIA DGX Cloud, NVIDIA Omniverse Cloud APIs, NVIDIA AI and Accelerated Computing Platforms, and NVIDIA Generative AI Microservices; the benefits and impact of NVIDIAs collaboration with Microsoft, and the features and availability of its services and offerings; AI transforming our daily lives, the way we work and opening up a world of new opportunities; and building a future that unlocks the promise of AI for customers and brings transformative solutions to the world through NVIDIAs continued collaboration with Microsoft are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; NVIDIAs reliance on third parties to manufacture, assemble, package and test NVIDIAs products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIAs existing product and technologies; market acceptance of NVIDIAs products or NVIDIA partners products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIAs products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the companys website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX, NVIDIA Clara, NVIDIA NIM, NVIDIA Omniverse, NVIDIA Triton Inference Server, and TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

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Microsoft and NVIDIA announce major integrations to accelerate generative AI for enterprises everywhere - Stories - Microsoft

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When the coming gains in a stock are obvious, watch out. Sure, its easy to envision more upside in Super Micro Computer (NASDAQ:SMCI) stock after its epic bull run. However, if short-term traders have already assumed the best-case scenario for Super Micro Computer, then they have already made the easy money and its time to take profits.

Some value-conscious investors point to Nvidia (NASDAQ:NVDA) stocks rally as a sign that the artificial intelligence market is too richly valued. Yet, theres evidence that Super Micro Computer is actually more overvalued than Nvidia. This doesnt mean you should short-sell Super Micro Computer stock, but cashing in some chips isnt a terrible idea.

Super Micro Computer has arrived, it seems. On March 18, the company officially joined the prestigious S&P 500large-cap stock index.

Of course, this event isnt just about prestige. Joining the S&P 500 means that a large number of index-fund holders will, in effect, own SMCI stock. Hence, some people might conclude that being an S&P 500 member will put a floor on the Super Micro Computer share price.

How did Super Micro Computer rise from a little-known server developer to an up-and-coming superstar? Without a doubt, the recent hype over AI played a role in Super Micro Computers ascendancies.

Just as theres a strong demand for Nvidias AI-compatible graphics processing units, theres also a demand Super Micro Computers AI-enabled servers.

Super Micro Computer can promptly manufacture and ship these servers. According to Rosenblatt Securities analyst Hans Mosesmann, Super Micro has developed a model that is quick to market.

Heres the problem. The highly efficient market already knows that Super Micro Computer is very, very quick to market.

Thus, I agree with Wells Fargo analyst Aaron Rakers warning that Super Micro Computer shares will be highly susceptible to any indications of tempering GPU-based server demand.

In other words, Super Micro Computer now has the daunting task of living up to the markets lofty server-demand expectations. And if you had valuation concerns about Nvidia, youll be shocked to see how richly valued Super Micro Computer is in 2024.

We can use a commonly cited metric to compare the two companies. Currently, Nvidias GAAP trailing 12-month price-to-earnings ratio is 73.63x. For comparison, the sector median P/E ratio is 29.55x.

Meanwhile, Super Micro Computers P/E ratio is 83.35x. Now, we can better understand what Rakers meant when he cautioned that SMCI stock is alreadydiscounting solid upside.

Many stock traders probably arent aware that Super Micro Computer is more richly valued than Nvidia. They might not know that Super Micro Computers market capitalization was only around $5 billion before November 2022, when OpenAI launched ChatGPT.

Today, Super Micro Computers market cap stands at approximately $60 billion. Going forward, it will be quite difficult for Super Micro Computer to maintain this pace of growth.

You may have recently discovered that Super Micro Computer can quickly assemble and sell its AI-enabled servers. Thats fine, but the market is already fully aware of Super Micro Computers advantages and growth potential.

Indeed, investing in Super Micro Computer is such an obvious move that an army of short-term traders have already done it. Just compare Super Micro Computers valuation and market cap to those of Nvidia, and youll see what Im talking about.

Consequently, the best thing to do right now is to take profits on SMCI stock if you already own it. And if youre looking to buy it, wait for a share price pullback of at least 25%.

On the date of publication, David Moadeldid not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

David Moadel has provided compelling content and crossed the occasional line on behalf of Motley Fool, Crush the Street, Market Realist, TalkMarkets, TipRanks, Benzinga, and (of course) InvestorPlace.com. He also serves as the chief analyst and market researcher for Portfolio Wealth Global and hosts the popular financial YouTube channel Looking at the Markets.

Excerpt from:

SMCI Stock: Why Chasing the 'Obvious' AI Play Could Leave You Burned - InvestorPlace

Broadcom has demonstrated that it is perhaps the world's largest processor. But for what application? When we visited TSMC's events, we were always shown a deck of multi-chiplet processors that use the company's chip-on-wafer-on-substrate (CoWoS) packaging technology and feature near the reticle limit (858mm^2, 26 mm by 33 mm) compute chiplets. We cannot take photos of the deck, but there are certainly processors that grab attention. One of those devices comes from Broadcom, and it has been shown at the company's recent investor events.

For most observers, Broadcom is a networking and telecommunications giant, but the company also has a significant custom chip design business. For those unfamiliar with this unit of Broadcom, Google is one of the company's most prominent clients in terms of contract chip design.

However, just like TSMC, Broadcom does not announce its clients. For those who want to rekindle its short-term innovations, Broadcom has a list of them in itsrecent press release. What it does to impress is demonstrate its vast accomplishments to its investors. These are indeed vast, as observed by our friend and colleague Patrick Moorhead of Moor's strategies market analysis company.

"Here is another fun one," Patrick Moorhead wrote in anX post. "The guy who is smiling Frank Ostojic [who] runs Broadcom's custom silicon group. He should be smiling as he announced that he has a third XPU design from a large 'consumer AI company.'

Broadcom officially brands those chips as XPUs so as not to disclose their applications. Meanwhile, the use of high-bandwidth memory pretty much shows its target usage, which might well be artificial intelligence or hardcore AI-infused network switching.

"To the right is a close up of the XPU," Moorhead added. "You can see the two compute units on the center and all the HBM to the left and right. A full up custom SoC with lots and lots of compute, HBM, very high speed intra chip connectivity and, as you would expect, the highest performance external networking."

Developing a chiplet of this scale (i.e., near the reticle size) is already an achievement. Yielding it to a proper level is another dimension of achievement, and it looks like Broadcom's foundry partner, most likely TSMC, has accomplished it as well. Now, it is time for software to catch up and use this processor's might.

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Broadcom shows a gargantuan AI chip XPU could be the world's largest chip built for a consumer AI company - Tom's Hardware