AI Weekly Malaysia

CoreWeave CEO Mike Intrator says the company has signed A100 GPU contracts extending into 2029, demonstrating that Nvidia's 2020-era GPUs remain profitable nine years post-deployment. Power constraints and legacy infrastructure costs make older GPUs economically viable even as newer chips arrive.

Why: If you're budgeting GPU compute for AI workloads, don't assume older GPUs like the A100 will become cheap or obsolete soon — CoreWeave is locking customers into multi-year A100 contracts through 2029, which signals sustained pricing power for legacy hardware. This affects cost planning for anyone renting cloud GPU capacity or deciding whether to wait for next-gen capacity versus contracting now.

An opinion piece arguing that hyperscalers are using AI-driven demand to lock up the enterprise hardware supply chain, leaving businesses little choice but to rent compute back from them. Nutanix CEO Rajiv Ramaswami noted the fastest way to get a new server is now to rent from a hyperscaler; Micron, SK Hynix, and Seagate have long-term supply deals favoring their largest customers; AMD has sweetheart deals with OpenAI and Meta. AWS CEO Andy Jassy says AWS recoups server spend in under three years on assets with 5-6 year useful lives, with datacenters designed to last 30 years.

Why: If hyperscalers continue cornering hardware supply, bootstrapping or cost-sensitive Malaysian startups that planned to own on-prem or colo gear will face longer delivery times and higher prices, making cloud rental the de facto path. Founders should model infrastructure costs assuming hyperscaler pricing power persists rather than betting on cheaper self-hosted hardware, and consider locking in longer-term cloud commitments if AI compute is core to their product.

Bitcoin miner Riot Platforms signed a $9.1 billion, 20-year deal with Anthropic to lease 191 megawatts at its Rockdale, Texas campus, giving Anthropic access to grid-connected power for AI compute. The deal could rise to ~$16.1 billion if extended for two additional five-year periods, and follows Riot's existing AMD agreement, bringing total contracted data center revenue to $9.8 billion.

Why: AI compute demand is now reshaping infrastructure markets beyond traditional data center players—Bitcoin miners with grid-connected power are becoming AI landlords. For builders in Southeast Asia, this signals that AI inference and training capacity will increasingly be constrained by power and grid access, not just chip supply, which affects cloud pricing and availability of GPU-backed services you depend on.

xAI launched Grok Bot in early beta, an AI agent product that can log into your tools, use websites and apps like a human would, and complete multi-step work autonomously. Bots can be taught workflows by demonstration (you do it once, it records and repeats), run in parallel on different tasks, share context with each other, and retain memory over time. The macOS download link points to cursor.com, indicating a Cursor partnership.

Why: If you build SaaS or internal tools, Grok Bot's 'computer use' approach means AI agents may soon interact with your product's UI the way human users do—not via API—so consider whether your workflows are legible to non-human operators. For founders, the teach-by-demonstration model could reduce operational headcount for repetitive tasks like support queues, outbound, and expense management, though it's early beta with no pricing disclosed.

AI Malaysia Takeover 2026 (AIMTO_26) runs 11-12 August at The Campus, Ampang, co-organised by Ludic Asia and 500 Global with Ministry of Digital and MyDIGITAL Corp as strategic partners. The event features speakers including Supabase CEO Paul Copplestone, Axiata's Dr. Rainer Deutschmann, YTL AI Labs CEO Foong Chee Mun, and Minister Gobind Singh Deo, plus a nationwide AI Learn-A-Thon where YTL AI Labs is distributing free AI compute tokens via its Ilmu Chat platform for hands-on training in prompt engineering, workflow automation, and deployment.

Why: Malaysian builders can get free AI compute credits through the Learn-A-Thon's Ilmu Chat platform and access hands-on training in frontier AI tooling, while founders get direct proximity to 500 Global's Khailee Ng and other VCs at a government-backed event. If you ship AI-powered products in Malaysia, the Rakyat Digital upskilling framework alignment signals where public funding and ecosystem support are flowing.

CoreWeave reported Q2 revenue of $2.6B, up 112% YoY from $1.2B, with Q3 guidance of $3.4-3.6B, driven by hyperscaler demand for AI compute capacity. The company remains unprofitable—operating expenses more than doubled and marginally exceeded revenue. Nebius also surged 34% in a broader neocloud rally.

Why: CoreWeave's doubling revenue and continued losses signal that GPU compute demand is still outpacing supply economics—meaning builders shipping AI workloads should expect sustained or rising compute costs and should lock in capacity or explore alternative providers like Nebius before pricing tightens further. The fact that operating expenses exceed revenue at this scale suggests neocloud pricing power is not yet translating to margins, which could drive future price hikes.

GPU cloud provider Nebius plans to bring online over 1 GW of datacenter capacity annually starting 2027, funded by $20-25B in 2026 capex, $9B+ in customer prepayments, and asset-backed debt using GPUs as collateral. The company projects $20-25M revenue per MW for medium-term leases and $40-50M for short-term leases under six months.

Why: If you rent GPU capacity for AI workloads, Nebius's aggressive buildout signals more supply coming online by 2027, which could ease pricing pressure—but the heavy reliance on customer prepayments means large tenants are locking in capacity now, potentially squeezing spot or short-term availability for smaller builders. The $40-50M/MW short-term lease revenue figure tells you GPU cloud margins on urgent demand remain extremely high, so negotiate early and long if you have predictable workloads.

Over 70% of Americans now oppose AI data center construction, with nearly 40 arrests this year amid intensifying protests. Nashville's city council recently moved to block a $700 million data center near the Nashville Zoo, with Mayor Freddie O'Connell set to enforce the block.

Why: If US data center siting becomes politically constrained, AI infrastructure costs and cloud compute pricing could rise globally, affecting Malaysian builders who rely on US-hosted AI APIs and GPU cloud services. Founders running AI-dependent SaaS should factor potential compute cost volatility into pricing and consider multi-region or APAC-hosted alternatives.

Form Energy raised $750M to scale manufacturing of its iron-air batteries in West Virginia, which can discharge for up to 100 hours versus the few hours typical of most grid storage. Google is buying a 30GWh Form battery for ~$1B to power a Minnesota data center, and Crusoe ordered 12GWh, driven by AI data centers expected to quadruple U.S. electricity use by 2035. The batteries use iron instead of lithium/cobalt/nickel, with 80% of materials sourced from the U.S. to reduce China dependence.

Why: If you're building AI infrastructure or SaaS with heavy compute needs, energy availability and cost are becoming the binding constraint, not GPU supply. Malaysia's own data center boom (especially Johor) faces the same grid-capacity pressure this article describes for the U.S. — founders scaling compute-heavy products should factor multi-day power storage and renewable intermittency into long-term cloud cost projections, since hyperscalers will pass these energy costs through.

Amazon is funding what may become the largest gas-fired power plant in the US, tied to its first off-the-grid data center built to capture AI compute demand, despite its climate pledges. The plant is positioned as behind-the-meter power generation dedicated to data center operations.

Why: If you build on AWS, the energy economics of AI compute are shifting toward dedicated fossil-fuel infrastructure, which signals that cloud capacity for AI workloads will increasingly come from off-grid deals rather than shared grid capacity. This affects long-term cloud pricing, sustainability reporting for SaaS products, and where new AI compute capacity physically lands.

Elon Musk claims xAI will scale its data center capacity 7x to 10 gigawatts by 2027, with a revenue target of up to $500 billion by end of next year. The article contains no technical detail, independent verification, or breakdown of how this capacity would be built or financed.

Why: These are unverified aspirational claims from a founder known for aggressive projections that often slip. Builders should not make infrastructure or vendor decisions based on this; if xAI's compute expansion materializes, it could tighten global GPU and power supply chains, indirectly affecting cloud pricing and availability for SEA builders. Treat as a signal of intent, not a roadmap.

British Transport Police is expanding its live facial recognition trial to the London Underground, starting at Victoria station and rotating through stations until November 2026. The system uses NEC's NeoFace M40 algorithm to scan faces against a watchlist, generating alerts that officers must review before acting. Privacy campaigners like Big Brother Watch call the expansion dystopian, noting errors have already led to innocent people being detained and that ethnic minorities face higher misidentification risk.

Why: For builders working on computer vision or AI deployment, this is a concrete case study of facial recognition rolling into routine public infrastructure at scale (3.7M daily Tube journeys), with documented misidentification and bias issues. If you ship biometric or surveillance-adjacent tech, the operational and reputational risks shown here—false positives, demographic bias, civil liberties backlash—are the ones you need to design around, not abstract ethics frameworks.

Japan's NEC will test a parking system in September, developed with UrbanChain, that uses cameras and AI video analysis to detect when a driver exits their car and only starts charging at that moment—rather than charging from facility entry. NEC is also exploring data services around occupant exit counts and visitor trend analysis, and claims safety benefits from detecting drivers who remain in cars for extended periods.

Why: This is a vendor pilot of a computer-vision parking product with no release date, pricing, or API. For builders, the only concrete signal is NEC's mention of 'data utilization services' for commercial facilities—suggesting future B2B analytics products around vehicle occupancy data—but nothing here requires action or a decision today.