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Tesla to sponsor MLSysConf, has top 7 GPU supercluster in the world Tesla to sponsor MLSysConf, has top 7 GPU supercluster in the world

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Tesla to sponsor MLSysConf, has top 7 GPU supercluster in the world

Credit: Tim Zaman/Tesla

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Tesla will be sponsoring the Machine Learning & Systems Conference (MLSYS) and showing its recently upgraded GPU, according to Tim Zaman, an Engineering Manager at Tesla. Tesla recently upgraded its GPU supercomputer to 7360 A-100(80GB) GPUs which now makes it Top-7 by GPU count.

https://twitter.com/tesla10trillion/status/1558204418742296577

Launched in 2020, the 80GB version of the  NVIDIA A100 is twice the capacity with just over 2 terabytes per second of memory bandwidth. This allows data to be fed quickly to the A100.

The NVIDIA A100 80GB delivers up to a 3x speedup and enables the training of the largest models with more parameters that fit within a single HGX-powered server which combines the company’s A100 Tensor Core GPUs with high-speed interconnects to form the world’s most powerful servers.

The MLSYS conference s an in-person-only event and attendees need to be wearing masks, vaccinated, and practicing social distancing. The conference aims to identify best practices and design principles for learning systems in the fields of machine learning and systems.

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Topics will include:

  • Efficient model training, inference, and serving
  • Privacy and security for ML applications
  • Fairness, interpretability, and explainability for ML applications
  • ML programming models and abstractions
  • Programming languages for machine learning
  • Specialized hardware for machine learning
  • Machine Learning for Systems
  • Distributed and parallel learning algorithms
  • Testing, debugging, and monitoring of ML applications
  • Data preparation, feature selection, and feature extraction
  • ML compilers and runtime
  • Visualization of data, models, and predictions
  • Hardware-efficient ML methods
  • Systems for Machine Learning

Tesla is sponsoring the conference and will have a booth for career opportunities for its AI team. The conference begins on August 29, 2022, and runs through September 1, 2022. Tesla is also holding its second AI Day event on September 30th, 2022, and is expected to unveil a working prototype of its humanoid robot, the Optimus Bot.

During an interview with Bloomberg’s Editor-In=Chief, John Micklethwait, Elon Musk said that he hoped Tesla would have an interesting prototype to show people. He also said that Tesla had a very talented team and hinted at a few other exciting things Tesla will share at AI Day.

“We have these sort of AI Day events to just emphasize that Tesla is a lot more than a car company and that we are, in my view, the leading real-world AI company that exists,” Elon Musk said.

Disclaimer: Johnna is long Tesla. 

I’d love to hear from you! If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1

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Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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SpaceX Starship Flight 13 faces wrath of the Texas skies

SpaceX pushed Starship Flight 13 to Friday, blaming weather instead of the previous engine issues.

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SpaceX called off Thursday’s launch attempt of Starship Flight 13, pushing the mission to Friday because of weather tied to Tropical Storm Bertha. The company confirmed the delay on X, noting “Now targeting Friday, July 24 for Starship’s thirteenth flight test, due to weather. A key objective for the flight test is to get clear imagery from the ground of Starship’s heatshield as it flies at a higher dynamic pressure during ascent, which won’t be possible with today’s weather conditions.”

This is the second delay for Flight 13 in two weeks. SpaceX first tried to launch the mission on July 16, but the countdown ended in an automated abort at T-0 when four of Super Heavy Booster 20’s 33 Raptor engines failed to ignite. Musk said at the time that two Raptors would need to be removed and replaced, as Teslarati reported. The company spent the following week destacking Ship 40 and Booster 20, swapping engines, and running leak checks before restacking the vehicle on Pad 2 Wednesday night, according to Spaceflight Now’s live coverage.

Elon Musk debunks $52 billion SpaceX-NVIDIA GPU deal

 

Unlike the engine problem, Thursday’s delay has nothing to do with the hardware. SpaceX wants clean footage of Starship’s heat shield captured from the ground as the vehicle flies through max dynamic pressure, something the storm’s cloud cover over South Texas would not allow. The company said visibility should improve for Friday’s attempt, with the same 90 minute window opening at 5:45 p.m. CT.

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Flight 13 will be the second outing for the V3 versions of Starship and Super Heavy, following their debut on Flight 12 in May. The mission carries 20 production Starlink V3 satellites, the first time SpaceX has flown operational satellites rather than mass simulators on Starship. Six of those satellites are fitted with cameras to inspect the heat shield from a different angle during ascent, giving engineers a second data source beyond the ground imagery the weather is currently blocking.

Booster 20 will attempt a boostback burn and a splashdown landing burn in the Gulf of America, while Ship 40 follows a suborbital trajectory toward a landing in the Indian Ocean. The flight plan largely mirrors Flight 12, though the booster will run a more aggressive ascent burn after max Q this time, and the ship’s heat shield includes load sensing tiles meant to measure stress at the higher dynamic pressure SpaceX is targeting.

If Friday’s attempt succeeds, Flight 13 could be the last suborbital test in the program. SpaceX is already looking to push for an orbital flight on Flight 14.

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Investor's Corner

Tesla stock tumbles after earnings, one of its sharpest single-day declines

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Credit: Tesla

Tesla stock (NASDAQ: TSLA) endured one of its sharpest single-day declines in years on July 23, tumbling approximately 14.5 percent and closing near $320 after opening the session around $374. The drop erased more than $140 billion in market value amid heavy trading volume and left the shares at multi-week lows.

The sell-off followed the company’s second-quarter 2026 results, released the previous evening. Tesla reported record revenue of $28.2 billion, up 26 percent year over year, driven by a Q2-record 480,126 vehicle deliveries. Energy storage deployments also rose strongly.

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

Yet profitability disappointed sharply. Operating income fell 57 percent to $398 million, compressing the operating margin to just 1.4 percent. Non-GAAP earnings per share came in at $0.33, well below the roughly $0.53 analysts had expected. Free cash flow turned negative by $1.1 billion as capital expenditures surged 142 percent to $5.8 billion, largely tied to accelerated spending on artificial intelligence, robotics, and autonomous systems.

The losses on capex were expected, as Tesla said it would be spending heavily in 2026.

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Investors also reacted to lingering uncertainty surrounding key product timelines. During the Earnings Call, management reiterated ambitions for Robotaxi deployment and the Optimus humanoid robot, but offered limited new concrete milestones, renewing questions about execution pace that have long accompanied Tesla’s ambitious roadmap.

The magnitude of the decline places it among Tesla’s more severe one-day percentage losses since its 2010 initial public offering. Historically, the two largest single-day drops (split-adjusted) remain September 8, 2020, when shares fell 21.1 percent amid broader market volatility and valuation concerns, and January 13, 2012, with a 19.3 percent plunge during the company’s early growth struggles.

Other notable declines include an 18.6 percent drop on March 16, 2020, at the onset of pandemic-related market turmoil. Thursday’s move ranks roughly ninth on the all-time list but stands out as the steepest in more than a year.

Despite the short-term pain, Tesla’s long-term trajectory has repeatedly recovered from such volatility. The latest results underscore both the strength of its core automotive and energy businesses and the near-term costs of heavy investment in next-generation technologies.

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Elon Musk

Elon Musk is not happy about this Tesla Full Self-Driving approval delay

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Credit: Tesla

Elon Musk clapped back at France’s decision to withhold the approval for Tesla’s Full Self-Driving (FSD) Supervised system, projecting a clear and blunt message to French Transport Minister Phillippe Tabarot, after he publicly rejected the technology in its current form.

Tabarot outlines several concerns with Tesla Full Self-Driving in a detailed video statement, where he said, “The safety trade-offs are not yet sufficient to authorize it as it currently stands,” he said. He emphasized that FSD is not a true self-driving system and that the driver remains fully responsible.

Key issues Tabarot also brought up included allowing speeding when surrounding traffic exceeds limits and what he believes are insufficient guarantees of driver attention during complex urban maneuvers such as lane changes, intersections, and roundabouts.

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While acknowledging technological progress and France’s support for autonomous innovation, Tabarot stressed that deployment must prioritize road safety. He noted ongoing technical discussions with Tesla, the Netherlands, and other European partners, with further ecosystem meetings planned for the fall.

Musk’s rebuke highlights the human cost of regulatory caution. Tesla’s latest safety reports provide compelling data supporting accelerated adoption. In the most recent 12-month period, vehicles using FSD (Supervised) recorded one major collision per approximately 5.1 million miles driven, dramatically better than the U.S. national average of one crash per 698,000 miles.

Even Tesla vehicles driven manually with active safety features outperform the average by a wide margin. These figures come from billions of real-world miles of telemetry, showing FSD vehicles involved in far fewer incidents than both manual Teslas and the broader U.S. fleet.

Critics argue Tesla’s comparisons require careful scrutiny regarding reporting thresholds and fleet demographics, yet the data consistently positions FSD as a potential lifesaver. With road fatalities remaining a leading cause of death worldwide, Musk contends that proven safer technology should not face prolonged bureaucratic hurdles.

France’s measured approach reflects the broader European regulatory caution, which many, especially Musk, have been critical of in the past. However, as autonomous systems from Tesla and competitors like Waymo demonstrate superior safety in independent studies, pressure is mounting for harmonized approvals.

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Musk’s warning carries the belief that every month of delay may equate to avoidable tragedies on European roads.

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