According to @gensynai, users running RL-Swarm are encouraged to update to CodeZero by executing git pull to prepare their environment for launching a new CodeZero node, source: @gensynai (Nov 13, 2025). According to @gensynai, Docker launch options are provided for both CPU (docker-compose run --rm --build -Pit swarm-cpu) and GPU (docker-compose run --rm --build -Pit swarm-gpu), source: @gensynai (Nov 13, 2025). According to @gensynai, a shell-based path is also available: rm -rf .venv, python -m venv .venv, source .venv/bin/activate, and ./run_rl_swarm.sh, source: @gensynai (Nov 13, 2025). According to @gensynai, these instructions target those already operating RL-Swarm to transition to CodeZero nodes, source: @gensynai (Nov 13, 2025).

According to @StockMKTNewz, AMD told investors at its Analyst Day that it expects annual data center revenue to reach $100 billion within the next five years, a headline that can drive positioning in AMD and AI semiconductor peers on AI compute demand expectations. Source: @StockMKTNewz on X, Nov 11, 2025, https://twitter.com/StockMKTNewz/status/1988343341407412612 Traders can monitor whether the headline shifts AI-linked sentiment in equities and AI-themed digital assets during U.S. hours, focusing on liquidity and momentum around AI infrastructure narratives. Source: @StockMKTNewz on X, Nov 11, 2025, https://twitter.com/StockMKTNewz/status/1988343341407412612

According to @gensynai, a new podcast recording featuring Gensyn CEO @fenbielding is coming soon. According to @gensynai, the announcement was posted on Nov 7, 2025 on X and references x.com/GenzioCo/status/1986848293863686522. According to @gensynai, the post does not include topics, release timing, or any product, partnership, or token-related details that would indicate immediate crypto market impact.

According to @gdb, a strategic partnership with AWS has been announced to scale the compute required for AI, with the news posted on Nov 3, 2025 on X and linking to Andy Jassy’s post at x.com/ajassy/status/1985351258333643172 (source: @gdb on X; source: @ajassy on X). The posts state the partnership’s goal is to expand access to AI compute, while providing no hardware specifics, timeline, or financial terms, limiting the immediate trading takeaway to confirmation of the collaboration only (source: @gdb on X; source: @ajassy on X). The announcement does not reference blockchain or cryptocurrency integrations, indicating no direct crypto market linkage from the disclosed information (source: @gdb on X; source: @ajassy on X).

According to @MRRydon, $ATH officially went live last week on Orderly Network, described as the first orderbook‑integrated DEX built to support DePIN tokens powering real AI compute, enabling on-chain orderbook execution for the asset (source: @MRRydon). The integration makes $ATH instantly tradeable across 22+ CEXes, DEXes, aggregators, and wallets within the Orderly Network ecosystem, including QuickswapDEX, LogX_trade, and WOOFi (source: @MRRydon). This rollout expands market access and liquidity for $ATH and is intended to unlock deeper participation, tighter spreads, and a more efficient trading environment for both institutional and retail participants (source: @MRRydon).

According to the source, AIOZ Network states it is building a DePIN-powered ecosystem to evolve a people-powered internet, anchored by distributed storage, AI compute, and media streaming, source: AIOZ Network sponsored post on X dated Oct 22, 2025. The post is disclosed as a sponsored communication by AIOZ Network, indicating marketing content rather than independent research, source: sponsorship notice in the same X post dated Oct 22, 2025. Traders tracking the DePIN and AI-compute segments can note these stated pillars as AIOZ Network’s current strategic focus areas, source: AIOZ Network sponsored post on X dated Oct 22, 2025.

According to @drfeifei, The World Labs unveiled RTFM, a real-time, persistent, and 3D-consistent generative world model that runs on a single NVIDIA H100 GPU, with a blog and live demo available. Source: @drfeifei on X (Oct 16, 2025). For traders, the tweet confirms single-GPU real-time performance but does not include benchmarks, pricing, or any blockchain integration details, so assessment should rely on metrics shared in the linked blog and demo. Source: @drfeifei on X (Oct 16, 2025). The announcement does not reference any crypto assets or tokens, indicating no direct on-chain tie-in cited at this time. Source: @drfeifei on X (Oct 16, 2025).

According to @gdb, he received a hand-delivered DGX Spark and thanked Jensen for the delivery, indicating direct user receipt of the hardware (source: Greg Brockman on X, Oct 15, 2025). According to @gdb, the device provides 1 petaflop of compute in a very small form factor, highlighting a concrete performance datapoint for AI hardware (source: Greg Brockman on X, Oct 15, 2025). According to @gdb, no pricing, wider availability, or additional specifications were disclosed in the post, and no cryptocurrencies were mentioned (source: Greg Brockman on X, Oct 15, 2025).

According to @gdb, applying their models to chip design has delivered “amazing lift,” posted on Oct 13, 2025; source: https://twitter.com/gdb/status/1977881545055830200. The post directly links to an X thread by @kimmonismus for context, signaling active discussion around AI-driven semiconductor workflows; source: https://x.com/kimmonismus/status/1977859377391399184. No quantitative metrics, partners, timelines, or product details were disclosed in the post, so traders should treat this as a high-level data point rather than a confirmed performance benchmark; source: https://twitter.com/gdb/status/1977881545055830200. For trading workflows, log the timestamp, track follow-on disclosures or demos tied to AI-in-chip-design workflows, and monitor sentiment across AI-exposed semiconductors and AI-compute crypto sectors without presuming impact until data is released; source: https://twitter.com/gdb/status/1977881545055830200.

According to @gdb, OpenAI announced a strategic partnership with Nvidia to secure millions of GPUs—roughly equal to Nvidia’s total compute shipped in 2025—and plans to invest up to USD 100B as these units are deployed, a scale that materially expands AI compute capacity - source: @gdb. According to @gdb, this magnitude of committed hardware and capital makes NVDA and AI-compute crypto tokens such as RNDR and AKT key tickers to monitor for liquidity and volatility around follow-on details - source: @gdb. According to @gdb, the anchor figures for trading context are “millions of GPUs” and “up to USD 100B,” which frame potential capacity expansion and related order flow for AI infrastructure - source: @gdb. According to @gdb, traders should watch for subsequent disclosures from OpenAI or Nvidia on delivery timelines and procurement specifics to calibrate exposure across equities and AI-compute tokens - source: @gdb.

According to @gdb, OpenAI announced a strategic partnership with Nvidia to access millions of GPUs, described as about as much compute as Nvidia has shipped in 2025 in total, providing a quantifiable indicator of large-scale AI infrastructure deployment, source: https://twitter.com/gdb/status/1970168694040068559 and https://openai.com/index/openai-nvidia-systems-partnership/. AI-linked crypto tokens have historically reacted to major Nvidia catalysts, with Reuters reporting sector-wide gains in AI tokens following Nvidia’s earnings in 2024, which traders may consider when assessing potential volatility across NVDA and AI-focused crypto assets, source: https://www.reuters.com/technology/ai-linked-crypto-tokens-jump-after-nvidia-results-2024-02-23/.

According to @StockMKTNewz, Nvidia said Europe’s first exascale supercomputer, JUPITER, is now live (source: @StockMKTNewz). The same source quotes Nvidia’s wording, includes ticker $NVDA, and timestamps the post on Sep 5, 2025 (source: @StockMKTNewz). The source post provides no additional details on specifications, partners, financial impact, or any crypto or blockchain implications (source: @StockMKTNewz).

According to @hyperbolic_labs, Hyperbolic announced that H200 GPUs are available to start experimenting now via the link in its post and that the team is accepting GPU reservations and bulk requests for AI workloads (Source: Hyperbolic (@hyperbolic_labs) on X, Sep 2, 2025). The post does not provide pricing, delivery timelines, capacity allocations, or any mention of cryptocurrencies or blockchain integrations, indicating only a channel update for H200 access (Source: Hyperbolic (@hyperbolic_labs) on X, Sep 2, 2025).

According to @hyperbolic_labs, the company is providing ARC Prize participants with priority access to high-performance GPU clusters so researchers can train and test complex models without hardware limitations; source: @hyperbolic_labs on X, Aug 28, 2025. The post does not specify GPU type, cluster size, pricing, or timeframes, leaving no quantifiable metrics for immediate valuation or capacity analysis; source: @hyperbolic_labs on X, Aug 28, 2025. The announcement includes no token, stock, or partnership details, providing no direct trading catalyst in the post; source: @hyperbolic_labs on X, Aug 28, 2025.

According to Hyperbolic (@hyperbolic_labs), LLoCO on NVIDIA H100 delivered up to 7.62x faster inference on 128k-token sequences and 11.52x higher throughput during finetuning, and enabled processing of 128k tokens on a single H100 (source: Hyperbolic on X, Aug 21, 2025). For trading context, these stated gains are concrete performance datapoints for assessing throughput per H100 in long-context LLM workloads and may inform evaluation of AI compute efficiency tied to H100 deployments (source: Hyperbolic on X, Aug 21, 2025).

According to @hyperbolic_labs, its H100 systems sustained the most demanding workloads for a full week with no interruptions during massive parameter optimization runs, delivering consistent performance from start to finish, source: @hyperbolic_labs on X, Aug 21, 2025. For traders, the key datapoints are seven days of continuous operation, zero interruptions reported, and consistency under heavy optimization workloads, evidencing operational stability as presented, source: @hyperbolic_labs on X, Aug 21, 2025. No throughput, latency, cost, or power metrics were disclosed in the post, limiting direct performance-per-dollar comparisons at this time, source: @hyperbolic_labs on X, Aug 21, 2025.

According to @hyperbolic_labs, the company launched the Hyperbolic Partner Program offering a 1% commission on revenue for partners, positioning its offering for sales-driven growth in AI compute services (source: @hyperbolic_labs, Aug 11, 2025). According to @hyperbolic_labs, it provides GPU infrastructure for AI and machine learning workloads, confirming active enterprise-facing AI compute capabilities (source: @hyperbolic_labs, Aug 11, 2025). According to @hyperbolic_labs, named clients include Coinbase, NYU, and Hugging Face, directly tying its AI infrastructure to a major crypto exchange’s technology stack via Coinbase (source: @hyperbolic_labs, Aug 11, 2025). For traders, the key crypto-market angle is the confirmed enterprise AI compute usage by Coinbase, linking AI infrastructure spend with exchange operations and providing a reference point when assessing AI-exposed equities like COIN and broader AI-compute demand around the crypto ecosystem (source: @hyperbolic_labs, Aug 11, 2025).

According to @StockMKTNewz, Chinese state media said Nvidia’s H20 chips are not safe for China, as reported by Reuters (source: Reuters via @StockMKTNewz). Reuters has previously reported that H20 is Nvidia’s China-focused GPU designed to comply with tightened U.S. export controls after restrictions on A100/H100, with commercial rollout planned in 2024 following delays (source: Reuters). For traders, this highlights headline and regulatory risk around NVDA’s China AI hardware pipeline and data center supply chains linked to U.S.–China tech controls (source: Reuters). Reuters has also reported that several Bitcoin miners, including Hut 8 and Iris Energy, expanded into AI compute services, making chip availability and policy a crossover theme for crypto-exposed equities (source: Reuters).

According to @DeepLearningAI, HIVE Digital Technologies (HIVE) is diversifying its revenue streams by acquiring a 7.2-megawatt data center in Toronto, Canada. The source states this facility will be transformed into an AI infrastructure hub by its subsidiary, BUZZ HPC, and upgraded to host up to 5,000 next-generation GPUs with liquid cooling. This strategic pivot into high-performance computing (HPC) for AI reflects a growing trend among crypto miners, such as Core Scientific (CORZ), to leverage their infrastructure expertise to capture opportunities in the booming AI sector, potentially creating new, stable revenue sources outside of volatile crypto mining.

According to @DeepLearningAI, Matter Labs has introduced "Airbender," a new ZKsync prover capable of generating Ethereum (ETH) block proofs in just 35 seconds on a single GPU. This technological leap is poised to dramatically lower transaction fees into the "fraction of a cent territory," which could be a game-changer for high-frequency trading, micropayments, and decentralized social applications on the Layer-2 network, as stated by Matter Labs co-founder Alex Gluchowski. The new prover, based on the RISC-V framework, is slated for a potential protocol upgrade this summer, signaling a major scalability advancement for the ZKsync ecosystem. In a related trend of infrastructure convergence, crypto mining firm HIVE Digital Technologies is acquiring a 7.2 MW data center in Toronto to build an AI hub, highlighting a strategic pivot by crypto miners to capitalize on the high-demand AI compute market and diversify revenue streams.