Tesla TSLA has topped

Discussion in 'Stocks' started by Master Pu, May 19, 2021.

  1. VicBee

    VicBee

    I have 725, but who's counting... :p
     
    #71     Aug 24, 2021
  2. KCalhoun

    KCalhoun

  3. VicBee

    VicBee

    Tsla topped at 900 on 01/25, followed by a steep drop to 541 on 3/5. It had another breakout at 771 on 4/14 before dropping again to 548 on 5/19. It's been lateral in a 600 to 700 bandwith since, until it broke out to 725 on 8/2 before dropping back to 652.
    The question now is, will it hit 725 this week and will it hit 800 before Q3 earnings?
     
    #73     Aug 24, 2021
    KCalhoun likes this.
  4. Overnight

    Overnight

    TSLA will hit 875 before it hits the 500 line.

    That's just TA stuff. I should know, because...

     
    #74     Aug 25, 2021
  5. #75     Aug 25, 2021
    nursebee likes this.
  6. VicBee

    VicBee

    Tesla's Dojo is impressive, but it won't transform supercomputing
    Dojo looks good at first glance, but its reported performance numbers and niche purpose place it outside the ranks of true supercomputers.

    By Brandon Vigliarolo | August 25, 2021, 10:53 AM PST

    Tesla's AI Day event included the reveal of several new potential products, and while bipedal robots are exciting (if perhaps a bit unrealistic), the real news to follow is the reveal of Tesla's new in-house designed supercomputer, called Dojo.

    To call Dojo a full-fledged supercomputer is a bit generous, though: It hasn't been fully assembled yet, and its potential performance limits have yet to be tested. What Tesla promises, though, is nothing short of a supercomputing breakthrough.

    The most powerful supercomputer in the world, Fugaku, lives at the RIKEN Center for Computational Science in Japan. At its tested limit it is capable of 442,010 teraflops (TFLOP) per second, and theoretically it could perform up to 537,212 TFLOPs per second. Dojo, Tesla said, could end up being capable of breaking the exaflop barrier, something that no supercomputing company, university or government has been capable of doing.

    Putting that claim in perspective means understanding the scale and capabilities of Dojo and other supercomputers.

    First, Dojo is designed to do one particular thing: train artificial intelligence. Tesla is building Dojo for use in-house, processing video data from the millions of Tesla vehicles on the road. Dojo is built on Tesla's D1 chip, the second the company has designed. The chip is built using seven-nanometer technology and is independently capable of 362 TFLOPs per second.

    Dojo chips don't operate individually, however, and the smallest unit Tesla has built is what it calls Dojo training tiles. These tiles are a connection of 500,000 nodes that are reportedly capable of performing nine petaflops per second (1 PFLOP = 1,000 TFLOPs). All of that incredible speed is available in a tile less than one cubic foot in size.

    Tesla's plans for Dojo tiles is to network them into larger systems. Its first design goal is to build a computer cabinet capable of housing two trays, each containing six Dojo tiles. In that configuration, Tesla said, it would be able to handle 100+ PFLOPs per second. Beyond that, Tesla plans to build what it calls an ExaPOD consisting of 10 Dojo cabinets that will be able to perform 1.1 exaflops (1 EFLOP = 1,000 PFLOPs).

    Fugaku, on the other hand, takes up an entire room, and at its peak measured performance is capable of 442 PFLOPs.

    Back to that earlier perspective: Tesla believes that it will be capable of doubling the performance of Fugaku with 422 fewer racks, and it will be able to do that by next year despite only having reached the milestone of building and testing a single tile.

    The reality of Tesla's Dojo claims
    Dojo's reported capabilities don't grant it true high-performance computer (HPC) status, said Gartner research vice president Chirag Dekate, largely because it hasn't been tested using the same standards as Fugaku and other supercomputers.

    "The Tesla Dojo is an AI-specific supercomputer designed to accelerate machine learning and deep learning activities. Its lower precision focus limits applicability to a broader HPC context," Dekate said.

    The measurements provided by Tesla indicate that Dojo's impressive speeds were measured using three standards: BF16, CFP8 and FP32, each of which indicate the amount of bits that an equation occupies in the computer's memory.
     
    #76     Aug 25, 2021
  7. VicBee

    VicBee

    I'm no trading expert and my charts may come across as simplistic, but I thought I'd share where I think TSLA will be sometime between 09/28 and 11/17, knowing that with Q3 report on 10/28, there's added upside probability.

    upload_2021-9-7_16-29-12.jpeg
     
    #77     Sep 7, 2021
  8. xandman

    xandman

    Today is probably a top. Last time it pushed 760, it was sold into heavily.

    TSLA's stock has been diverging for too long. We have terrible auto industry fundamentals bearing down.
     
    #78     Sep 7, 2021
    KCalhoun and vanzandt like this.
  9. VicBee

    VicBee

    I like these committed viewpoints because they sometimes don't age well and can be easy to make fun of with hindsight. I approve.
     
    #79     Sep 8, 2021
  10. xandman

    xandman

    #80     Sep 11, 2021