Xmartinez

Do what you want :-)

[Ripple @Ripple]

Ripple is joining #Giving4th — @America250's new movement to make Independence Day a national day of charitable giving.

We're matching donations to @CODE4Vets up to $10K. CODE funds the most effective organizations helping veterans get back to work, preparing them for the job market and raising awareness of the value they bring to employers.

Give cash, stock, or crypto ($XRP & $RLUSD accepted) — Ripple will match it: https://t.co/zgrLZorPf2

[NVIDIA @nvidia]

Happy 250th birthday, America!

Founded in Silicon Valley over three decades ago, NVIDIA's roots in American innovation run deep.

Today, we're proud to partner with the companies, scientists, developers, and builders using AI to accelerate progress and solve hard problems.

Here’s to the next 250 years of American ingenuity, discovery, and breakthroughs.

[NVIDIA @nvidia]

Thank you to the partners across America helping bring the supply chain home.

In 43 states and growing, NVIDIA’s network of American partners and suppliers spans semiconductors, boards, systems, racks, and more.

Together, we’re helping create the tools for better healthcare, breakthrough scientific discovery, stronger industrial productivity, and global technology leadership.

[Elonogy @ElonogyX]

Elon Musk: "Tesla, xAI, and SpaceX have all done amazing things that people did not think would be done before

It wasn't that long ago when people thought electric cars wouldn't amount to anything

People said it was impossible. Now Tesla’s making 2 million electric cars a year

Jensen Huang from Nvidia said he’d never seen anything built so fast in his life before

People said that reusable rockets weren't possible... so we did them, and then we made them economically feasible

Now we've landed 500 times"

[John Squire 🇺🇸 @TheCryptoSquire]

💥 BOOOOOOOOOOOOOM 💥

Ferrari now accepts #XRP for payments across the US and Europe.

One of the world’s most iconic luxury brands is embracing the future of finance.

Fast cars. Instant payments. XRP. 🚀🏎️

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

🌌 20 Terabytes of data. That's what the Rubin Observatory captures every night to map dark matter — but traditional processing takes months.

By leveraging CPU/GPU-accelerated pipelines on multi-GPU, multi-node systems, NVIDIA cuPhoton accelerates image loading by 15,000x and processing by 8,400x, turning months of waiting into minutes. #ISC26

[NVIDIA Robotics @NVIDIARobotics]

Loading docks are one of the most dangerous environments in logistics.

KION Group shares how they are rethinking safety by combining camera systems, NVIDIA Halos Outside-In Safety Blueprint, and NVIDIA IGX. 👇

[NVIDIA Asia Pacific @NVIDIAAP]

The next wave of robot foundation models is here. ⚡

World-Action Models are emerging as a powerful new approach for physical AI, combining pretrained scene dynamics with action generation.

Learn more ➡️ https://t.co/1zED5yb4YD

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

A decade after #NVIDIADGX-1, #NVIDIAVeraRubin redefines what an AI factory looks like.

Built through extreme co-design, Vera Rubin delivers a POD-scale platform purpose-built for global-scale AI infrastructure. From model training to agentic AI workloads, it’s the foundation for what comes next.

📍 Stop by our booth on the #ISC26 show floor to see our demos
🔗 Learn more: https://t.co/zAWujGrBNc

[NVIDIA AI @NVIDIAAI]

We're proud to join @linuxfoundation and industry peers in launching Akrites.

"Transparency and open collaboration are how the cybersecurity community has kept infrastructure safe for decades. In the age of AI, these open source foundations have never been more critical." — David Reber, Chief Security Officer, NVIDIA

[Ripple @Ripple]

Ripple is on the road to clarity!

Our Clarity truck is on the move in D.C. as Congress continues work on transparent rules of the road for digital assets.

The message is simple: the Clarity Act will protect consumers, support responsible innovation, and keep the U.S. competitive.

[NVIDIA Robotics @NVIDIARobotics]

Humanoid robot development is too fragmented to scale. 🤖

With NVIDIA Isaac GR00T, developers unify simulation, data, and training in one open platform, cutting setup time from days to hours.

See how Isaac GR00T helps research teams move faster from robot bring-up to skill development and real-world validation.

Watch now 📺 https://t.co/Yn9MJXOSIN

[NVIDIA AI @NVIDIAAI]

Increase inference performance by up to 15x without sacrificing responsiveness.

DFlash, an open source lightweight block diffusion model designed for speculative decoding, delivers up to 15x higher throughput on NVIDIA Blackwell while maintaining the same user interactivity target.

Instead of drafting tokens one at a time, it proposes a whole block in a single pass for the main model to verify in parallel.

Adoption is drop-in with support in @lmsysorg SGLang, TensorRT-LLM, and @vllm_project.

[Ripple @Ripple]

More licensing momentum!

Ripple has secured its preliminary Crypto Asset Service Provider (CASP) license in Luxembourg, paving the way for the full rollout of Ripple Payments across the EEA and full MiCA compliance: https://t.co/maJOvuNehw

The next wave of regulated digital asset adoption in Europe is here and it’s powered by Ripple.

[NVIDIA Robotics @NVIDIARobotics]

Deploy safe robots without rebuilding safety from scratch. 🦾

NVIDIA Halos for Robotics extends the Halos safety system, built on 18,000+ engineering years of AV safety engineering, to industrial robots, humanoids, and AMRs, combining AI compute and functional safety in one platform.

Now available: Halos Core on IGX and the open-source Halos Outside-In Safety Blueprint.

Get started: https://t.co/Sf4QbSv6cd

#Automate2026

[Elon Musk @elonmusk]

True

[NVIDIA @nvidia]

Water usage has been a hot topic in the AI data center world, but the numbers may surprise you.

According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.

By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.

Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.

Learn more below ⬇️

https://t.co/7WanoPNKTR

[Testlabor @testerlabor]

Grok Supercomputer Colossus 2 is still the the fastest-built & most powerful single AI training system on Earth. The giant Supercluster is training Grok 5 and other Grok models simultaneously, based on powerful 550k GB200s & GB300s NVIDIA GPUs.

[Elon Musk @elonmusk]

Starlink provides backup connectivity to cell towers, ensuring that your phone works when you most need it

[TechniaHQ | humanoid robots @techniahq]

Humanoid Robot Makers. June 2026.
Full details from the image table in this thread.

‣ FIGURE
➤ HQ: US
➤ Valuation: $39B private
➤ Flagship robot: Figure 03
➤ AI brain: Helix VLA in house
➤ Traction: Production near 1 robot every 90 minutes. Target 100k units. Pilots with BMW and UPS.

‣ TESLA
➤ HQ: US
➤ Funding context: Part of Tesla. Around $20B 2026 capex
➤ Flagship robot: Optimus
➤ AI brain: In house vision and FSD derived
➤ Traction: Output planned from mid 2026. Target 1M units per year. Target price under $20k. No working deployment listed yet.

‣ NEURA ROBOTICS
➤ HQ: Germany
➤ Valuation: Around $5B to $7B private
➤ Flagship robot: 4NE 1
➤ AI brain: NEURAverse and AURA in house
➤ Traction: Target of 5M robots by 2030. Around €1B in orders booked.

‣ UNITREE
➤ HQ: China
➤ Valuation: Around $6.2B. IPO expected June 2026
➤ Flagship robots: R1. G1. H1
➤ AI brain: UnifoLM in house
➤ Traction: Profitable since 2020. G1 starts around $16k.

‣ AGIBOT ZHIYUAN
➤ HQ: China
➤ Valuation: Around $5B to $6.4B. HK IPO expected 2026
➤ Flagship robots: A2. A3. Lingxi X2
➤ AI brain: GO 1 in house
➤ Traction: Number 1 humanoid shipper in 2025 with 5168 units. Target above 10k units by 2026.

‣ UBTECH
➤ HQ: China
➤ Valuation: Around $7B public. HKEX 9880
➤ Flagship robot: Walker S2
➤ AI brain: Co Agent and BrainNet in house
➤ Traction: Around $112M in orders. Target of 5k units per year by 2026. Customers include BYD and Foxconn.

‣ APPTRONIK
➤ HQ: US
➤ Valuation: Around $5B private
➤ Flagship robot: Apollo
➤ AI brain: Google DeepMind Gemini Robotics partner
➤ Traction: Pilots with Mercedes Benz and GXO. New robot expected in 2026.

‣ GALBOT
➤ HQ: China
➤ Valuation: More than $2.9B private
➤ Flagship robot: Wheeled humanoid
➤ AI brain: In house
➤ Traction: Thousands ordered. Customers include CATL. Bosch. Toyota. SAIC.

‣ AGILITY ROBOTICS
➤ HQ: US
➤ Valuation: Around $2.1B private
➤ Flagship robot: Digit
➤ AI brain: In house
➤ Traction: Around 100 deployed. Customers include Amazon. GXO. Spanx. RaaS around $30 per hour.

‣ 1X
➤ HQ: US with Norwegian roots
➤ Funding: Around $820M confirmed. $10B target unverified
➤ Flagship robot: NEO
➤ AI brain: Redwood VLA and world model in house
➤ Traction: Home robot. Price around $20k or $499 per month. EQT target up to 10k units.

‣ SUNDAY
➤ HQ: US
➤ Valuation: $1.15B private
➤ Flagship robot: Home robot
➤ AI brain: ACT 1 model in house
➤ Traction: Human demo trained. 50 home beta planned for late 2026.

‣ BOSTON DYNAMICS
➤ HQ: US. Hyundai owned
➤ Funding context: Part of Hyundai Electric
➤ Flagship robot: Atlas
➤ AI brain: In house with Toyota Research
➤ Traction: Atlas planned for Hyundai factories in 2026. Around 30k units per year planned.