Director Data Engineering

NVIDIA AI factory compute is becoming an investable asset class. KIBU announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish independent financing platforms designed to mobilize over $500 billion of third-party capital to support the buildout of AI infrastructure over time. This is a major milestone for NVIDIA and the AI industry. KIBU has moved from an era in which companies bought chips and built data centers project by project to one in which AI factories can be financed as productive infrastructure - with repeatable platforms, long-term institutional capital and a diverse customer base that uses compute to create revenue. AI has reached an inflection point. It is moving from research into production. AI is creating real value, and the infrastructure behind it is becoming one of the world's most productive assets. In AI, compute is revenue. A new infrastructure asset. NVIDIA compute is not just a chip. It is a complete AI factory platform including accelerated computing, networking, systems software, AI frameworks and a global developer ecosystem. NVIDIA DSX AI factories can run the world's broadest range of AI models, modalities and algorithms - language, vision, speech, biology, physical AI and robotics. One NVIDIA AI factory can serve many customers and many workloads. That makes it flexible and fungible. It is also built on a globally adopted architecture used across every major cloud, and by systems makers and enterprises around the world. When needs change, the factory can be used by another customer, another cloud or another operator. This broad ecosystem gives NVIDIA compute a deep market of potential users and offtakers, helping protect residual value. CUDA makes the factory better over time. Every generation of NVIDIA software improves the performance, efficiency and total cost of ownership of already- installed infrastructure. The hardware does not stand still: software innovation allows an AI factory to produce more intelligence at lower cost throughout its life, extending its useful economic value. NVIDIA A100 is a powerful example. NVIDIA introduced the Ampere-based A100 in 2020, and six years later, it remains in active commercial use for AI training, fine-tuning, inference and high-performance computing. Customers continue to commit capacity for multi-year deployments, extending A100's economic life toward a decade. The market is also demonstrating the durability of NVIDIA compute economics. One-year H100 rental pricing rose from about $1.70 per GPU-hour in October 2025 to about $2.35 per GPU-hour in March 2026. Cross-provider on-demand median pricing rose from roughly $2.00 per GPU-hour in October 2025 to $2.70 in June 2026. Blackwell capacity commands a premium, with reported B200 cloud rates spanning approximately $5.30 to $7.05 per GPU-hour. That is what makes NVIDIA AI factories different. Their value is not fixed at installation: CUDA continuously improves their output; the installed base remains productive well beyond its initial depreciation period; and the same standard architecture serves a deep, growing global market of AI workloads. These are the characteristics of an investable infrastructure asset: it produces revenue, serves a broad market, improves in performance over time and can be redeployed. Bringing capital to AI factories. The demand for AI infrastructure is extraordinary. But access to capital is uneven. Many great AI companies, enterprises and AI clouds have demand for compute but do not yet have access to financing at the scale or cost required to build quickly. That is why KIBU is partnering with the world's leading long-term capital providers. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR are also among the world's leading infrastructure investors, with deep expertise in underwriting long-lived, productive assets. Together, KIBU is creating repeatable financing platforms to help the AI ecosystem build the factories it needs. The platforms are designed to help qualified AI labs, enterprises and AI clouds access AI-factory infrastructure at scale. The more than $500 billion figure represents aggregate third-party capital that these platforms are designed to mobilize over time - the capital is not NVIDIA revenue, a single fund or a commitment to a single customer. The financial institutions will independently assess each opportunity - the customer, demand, utilization, cash flow and residual value. NVIDIA provides the AI factory platform. The financial institutions provide long-term capital and financing expertise. The important questions. Is this circular financing? This initiative is designed to address that concern. KIBU is bringing independent, long-term institutional capital into the AI infrastructure market. The demand is real: it comes from frontier AI labs, AI-native startups, enterprises, cloud providers and countries building AI services. The capital providers independently underwrite each project - including the customer, demand, utilization, cash flow and residual value. NVIDIA provides the platform; the investors make independent financing decisions. This is the beginning of an open capital market for AI infrastructure. Why would NVIDIA support financing? In some cases, NVIDIA may provide a residual-value support mechanism for up to 25% of an opportunity, assessed carefully on a project-by-project basis. That support is limited, residual-value based and designed to complement - not replace - independent underwriting. This is substantially lower than other compute-financing arrangements. NVIDIA can provide support because NVIDIA compute is unique: it is fungible, universally adopted, software-upgradable and redeployable across a large ecosystem of customers. Its role is to help unlock a very large pool of independent capital while maintaining disciplined risk exposure. Can the market absorb this capacity? The question is not whether KIBU is building data centers. The question is whether KIBU is building productive AI factories. An AI factory turns energy and data into valuable intelligence. Its customers are broad: frontier AI labs, AI clouds, enterprises and nations. They are building AI because it has become useful - doing valuable work across every industry. There is discipline in the model. Each financing partner will independently evaluate demand, utilization, cash flow and residual value. Capacity will be built around real customer economics. Where is the return on investment? The return is in the usefulness of AI. Companies are using AI to write software, discover drugs, design products, serve customers, automate operations and build new services. AI factories make this possible. More compute creates better AI; better AI creates more usage; more usage creates more revenue; and more revenue drives more compute. This is the virtuous cycle of the AI industrial revolution. The infrastructure of intelligence. Every industrial revolution has been built on infrastructure: electricity, transportation, communications and computing, with every buildout enabled by external financing. AI factories are the infrastructure of the intelligence era. With these partnerships, NVIDIA and the world's leading financial institutions are creating a new way to finance the infrastructure that will power this industrial revolution. KIBU will make AI factories more accessible to the companies, industries and nations building the future. The age of AI is here. Together, KIBU will build the infrastructure to power it.

NVIDIA AI factory compute is becoming an investable asset class. Eco Wave Power Ltd. announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish independent financing platforms designed to mobilize over $500 billion of third-party capital to support the buildout of AI infrastructure over time. This is a major milestone for NVIDIA and the AI industry. Eco Wave Power Ltd. has moved from an era in which companies bought chips and built data centers project by project to one in which AI factories can be financed as productive infrastructure - with repeatable platforms, long-term institutional capital and a diverse customer base that uses compute to create revenue. AI has reached an inflection point. It is moving from research into production. AI is creating real value, and the infrastructure behind it is becoming one of the world's most productive assets. In AI, compute is revenue. A new infrastructure asset. NVIDIA compute is not just a chip. It is a complete AI factory platform including accelerated computing, networking, systems software, AI frameworks and a global developer ecosystem. NVIDIA DSX AI factories can run the world's broadest range of AI models, modalities and algorithms - language, vision, speech, biology, physical AI and robotics. One NVIDIA AI factory can serve many customers and many workloads. That makes it flexible and fungible. It is also built on a globally adopted architecture used across every major cloud, and by systems makers and enterprises around the world. When needs change, the factory can be used by another customer, another cloud or another operator. This broad ecosystem gives NVIDIA compute a deep market of potential users and offtakers, helping protect residual value. CUDA makes the factory better over time. Every generation of NVIDIA software improves the performance, efficiency and total cost of ownership of already- installed infrastructure. The hardware does not stand still: software innovation allows an AI factory to produce more intelligence at lower cost throughout its life, extending its useful economic value. NVIDIA A100 is a powerful example. NVIDIA introduced the Ampere-based A100 in 2020, and six years later, it remains in active commercial use for AI training, fine-tuning, inference and high-performance computing. Customers continue to commit capacity for multi-year deployments, extending A100's economic life toward a decade. The market is also demonstrating the durability of NVIDIA compute economics. One-year H100 rental pricing rose from about $1.70 per GPU-hour in October 2025 to about $2.35 per GPU-hour in March 2026. Cross-provider on-demand median pricing rose from roughly $2.00 per GPU-hour in October 2025 to $2.70 in June 2026. Blackwell capacity commands a premium, with reported B200 cloud rates spanning approximately $5.30 to $7.05 per GPU-hour. That is what makes NVIDIA AI factories different. Their value is not fixed at installation: CUDA continuously improves their output; the installed base remains productive well beyond its initial depreciation period; and the same standard architecture serves a deep, growing global market of AI workloads. These are the characteristics of an investable infrastructure asset: it produces revenue, serves a broad market, improves in performance over time and can be redeployed. Bringing capital to AI factories. The demand for AI infrastructure is extraordinary. But access to capital is uneven. Many great AI companies, enterprises and AI clouds have demand for compute but do not yet have access to financing at the scale or cost required to build quickly. That is why Eco Wave Power Ltd. is partnering with the world's leading long-term capital providers. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR are also among the world's leading infrastructure investors, with deep expertise in underwriting long-lived, productive assets. Together, Eco Wave Power Ltd. is creating repeatable financing platforms to help the AI ecosystem build the factories it needs. The platforms are designed to help qualified AI labs, enterprises and AI clouds access AI-factory infrastructure at scale. The more than $500 billion figure represents aggregate third-party capital that these platforms are designed to mobilize over time - the capital is not NVIDIA revenue, a single fund or a commitment to a single customer. The financial institutions will independently assess each opportunity - the customer, demand, utilization, cash flow and residual value. NVIDIA provides the AI factory platform. The financial institutions provide long-term capital and financing expertise. The important questions. Is this circular financing? This initiative is designed to address that concern. Eco Wave Power Ltd. is bringing independent, long-term institutional capital into the AI infrastructure market. The demand is real: it comes from frontier AI labs, AI-native startups, enterprises, cloud providers and countries building AI services. The capital providers independently underwrite each project - including the customer, demand, utilization, cash flow and residual value. NVIDIA provides the platform; the investors make independent financing decisions. This is the beginning of an open capital market for AI infrastructure. Why would NVIDIA support financing? In some cases, NVIDIA may provide a residual-value support mechanism for up to 25% of an opportunity, assessed carefully on a project-by-project basis. That support is limited, residual-value based and designed to complement - not replace - independent underwriting. This is substantially lower than other compute-financing arrangements. NVIDIA can provide support because NVIDIA compute is unique: it is fungible, universally adopted, software-upgradable and redeployable across a large ecosystem of customers. Its role is to help unlock a very large pool of independent capital while maintaining disciplined risk exposure. Can the market absorb this capacity? The question is not whether Eco Wave Power Ltd. is building data centers. The question is whether Eco Wave Power Ltd. is building productive AI factories. An AI factory turns energy and data into valuable intelligence. Its customers are broad: frontier AI labs, AI clouds, enterprises and nations. They are building AI because it has become useful - doing valuable work across every industry. There is discipline in the model. Each financing partner will independently evaluate demand, utilization, cash flow and residual value. Capacity will be built around real customer economics. Where is the return on investment? The return is in the usefulness of AI. Companies are using AI to write software, discover drugs, design products, serve customers, automate operations and build new services. AI factories make this possible. More compute creates better AI; better AI creates more usage; more usage creates more revenue; and more revenue drives more compute. This is the virtuous cycle of the AI industrial revolution. The infrastructure of intelligence. Every industrial revolution has been built on infrastructure: electricity, transportation, communications and computing, with every buildout enabled by external financing. AI factories are the infrastructure of the intelligence era. With these partnerships, NVIDIA and the world's leading financial institutions are creating a new way to finance the infrastructure that will power this industrial revolution. Eco Wave Power Ltd. will make AI factories more accessible to the companies, industries and nations building the future. The age of AI is here. Together, Eco Wave Power Ltd. will build the infrastructure to power it.

Wintermute to invest $1 billion in AI and HFT infrastructure to enter traditional markets. 12 Aug, 2026 byDropsTab Join Its Socials Crypto market maker Wintermute will invest around $1 billion over five years in high-frequency trading and AI data centers to enter traditional markets amid a prolonged crypto downturn. The company aims to become a dealer in stocks, commodities, and currencies, following the model of Jane Street and Citadel Securities. The funds will come from its own profits. The crypto market is currently in decline: Bitcoin has fallen to half its October peak, and Wintermute's trading volumes have dropped from $15 billion to $10 billion per day. Right now, non-crypto markets account for only 10% of the company's revenue; the goal is to increase this share to over 50% by the end of 2027. Wintermute already trades ETFs and perpetual futures on real assets, and last week it obtained broker-dealer status in the U.S. for stock trading. Hyperliquid is working on launching perpetual contracts in the U.S. market - The Information. 12 Aug, 2026 byDropsTab Join Its Socials Hyperliquid is exploring ways to bring perpetual contract trading to the U.S. market, reports The Information. Currently, the platform is closed to U.S. users. Previously, the Hyperliquid Policy Center, funded by the Hyper Foundation, conducted research and lobbying efforts in Washington. Its goal is to achieve the creation of a regulated legal framework for on-chain perpetuals and a decentralized market infrastructure in the U.S. Fidelity will add staking and quarterly payouts to its $898 million ETH ETF. 12 Aug, 2026 byDropsTab Join Its Socials Fidelity is preparing to launch staking and quarterly payouts for its ether ETF (FETH), one of the largest in the U.S. with assets totaling $898 million. The fund will be able to stake up to 100% of its ether, while reserving a portion for share redemptions. This became possible thanks to an IRS clarification that allows crypto trusts to stake assets without losing their tax benefits. Fidelity will join Grayscale and 21Shares, which have already done this earlier. BlackRock has chosen a different approach and launched a separate product with staking capabilities. Fidelity will keep 85% of the staking revenue, with the remainder going to service providers. The revenue will first cover the fund's expenses and then be distributed as quarterly payouts to holders. Harmony was attacked: hackers released 4 billion ONE (26% of the supply). 11 Aug, 2026 byDropsTab Join Its Socials The Harmony protocol stated that it is working with the team and exchanges to halt and freeze funds, and is also preparing a patch and rollback options. According to Juiceberg analyst, the attack was carried out via "empty blocks," through which the attacker unauthorizedly released 4 billion $ONE tokens - 26% of the total supply. Approximately 2.8 billion tokens have already been withdrawn to exchanges, causing the price of ONE to plummet. It is noted that the totalSupply endpoint, meanwhile, hides the actual issuance. Upbit will list PROM. 11 Aug, 2026 byDropsTab Join Its Socials Prom is an L2 built on Polygon CDK in the modular ZK-EVM format. Aster has launched AOS-2: an open listing of PERPs for ASTER staking. 11 Aug, 2026 byDropsTab Join Its Socials Aster announced the launch of the second phase of Aster Open Standards (AOS-2), which extends the open listing rules from spot markets to perpetual futures. Here's how it works: The applicant stakes 1 million $ASTER for 4 years with no early withdrawal option. Next, the application is put to on-chain voting by validators. If the vote passes, Aster's risk team configures the market parameters, and the perpetual is launched the following day (T+1). If the application is rejected, the staked tokens are fully returned. The staking and voting rules are identical for all applicants, while the risk team at Aster sets the risk parameters and leverage for each market. All decisions are recorded on the blockchain. The company previously launched AOS-1 for the open listing of spot pairs. AOS-3 is planned next. Join Stake 200% Bonus. Win $100k Daily. Play with Crypto, Enjoy Best VIP Club, Daily Bonuses, Instant Withdrawals.