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The GPU Network is a decentralized graphics processing unit on demand infrastructure that powers the next generation of Generative AI, Web3 Metaverses, High-end graphics rendering and cryptocurrency mining. GPU.Net is on a mission to create a distributed network of GPUs that would empower an efficient, accessible and cost efficient GPU resource sharing ecosystem. GPU.Net would foster advanced computations such as Training AI/ML Language models, Complex gaming, Scientific computing etc on a large scale.
AI server intermediary platform Hydra Host raises $100 million, led by Kindred Ventures
Hydra Host, a data center software startup and AI server intermediary platform, has completed a $100 million funding round at a post-money valuation of nearly $800 million. The round was led by Kindred Ventures. Other investors include Nvidia, ARK Invest, Magnetar Capital (an early investor in CoreWeave), and existing shareholders Founders Fund and Flume Ventures.Founded in 2021, Hydra Host initially served cryptocurrency miners but has since pivoted to providing automation software for data center operators. This software enables them to rent out idle Nvidia AI server computing power and operate a GPU matching marketplace connecting GPU holders with renters. The company has now deployed its technology across 50 data centers globally, expanding from 30 in February of this year. (The Information)
Sharon AI and NVIDIA Reach 6-Year AI Computing Partnership, to Deploy 72MW Data Center with 40,000 GB300 GPUs
Sharon AI Holdings, a Nasdaq-listed company, announced a six-year strategic computing cooperation agreement with NVIDIA to jointly expand AI infrastructure capabilities in Australia.Under the agreement, the two parties will collaborate to build approximately 72MW of data center computing capacity and deploy infrastructure based on the NVIDIA DSX AI Factory architecture. The plan is to gradually scale up to 40,000 Grace Blackwell GB300 GPUs to meet the computing needs of AI startups, enterprise clients, and research institutions.The cooperation model adopts a structure combining revenue generation with credit support: Sharon AI will be responsible for selling cloud services based on NVIDIA's computing power, while NVIDIA, upon receiving hardware and basic product revenue, will also participate in a share of cloud service revenue, forming a sustainable "usage-driven revenue model."Sharon AI stated that this collaboration will significantly enhance its capital efficiency, enabling it to expand AI infrastructure capabilities without relying on traditional heavy-asset financing and accelerate the deployment of "sovereign AI computing power" in Australia. With this partnership, Sharon AI's total AI factory capacity will increase to 132MW, of which approximately 102MW is already contracted by clients. The company expects to deploy over 55,000 NVIDIA GPUs by mid-2027. (Businesswire)
Decentralized futures exchange MNX completes $6.4 million funding round, with participation from Village Global and others
MNX, a decentralized futures exchange focused on the AI economy, has completed a $6.4 million funding round with participation from Village Global, Cambrian, Relay Digital, North Island Ventures, and others. MNX aims to build AI-native derivatives infrastructure, covering futures on GPU rental prices and data center electricity costs, valuation markets for private labs such as OpenAI, Anthropic, and DeepSeek, AI benchmarks and financial forecasting markets, as well as perpetual contracts for AI-related global equities. The platform supports leverage, portfolio margin, and batch auction for fair execution. Settlements are conducted in a fully non-custodial manner on MegaETH, with the mainnet scheduled to launch this summer.
Goldman Sachs and JPMorgan Explore "Computing Power Financialization," Plan to Launch GPU Rental Futures to Hedge AI Risks
sources familiar with the matter have revealed that Goldman Sachs and JPMorgan are exploring trading methods based on the cost of computing power, including futures contracts linked to GPU rental prices. As one of the scarcest resources amid the AI boom, related futures for GPUs are expected to be listed on exchanges later this year.Industry insiders stated that this move reflects how the influx of hundreds of billions of dollars into data centers and the chip sector is reshaping the financial market landscape. For banks financing the construction of AI infrastructure, such innovative instruments could become a new means of risk management. (The Information)
“New Stock God” Serenity: Stock Price Rises Don’t Necessarily Create Value; Avoid Companies with “Toxic” Financing Structures or Crushing Debt
"New Stock God" Serenity posted on X platform, reminding investors to pay attention to financing structures and the dynamics of outstanding shares, as these are crucial for investment returns, and provided examples:IREN: The financing method approaches infinite dilution, with each rebound met by selling pressure—essentially a "bad stock."NBIS: Up 153% year-to-date, thanks to an optimized financing structure (such as direct offerings, convertible bond combinations, etc.).CRWV: High debt interest; the company uses usurious loans for GPU financing, which erodes free cash flow over the long term.Serenity pointed out that if a company has strong fundamentals, one could consider going long after the original shareholding has been diluted to near zero. However, for equity value appreciation, one should stay away from companies with "toxic" financing structures or crushing debt. The risk is especially high for small-cap companies, such as $SLNH adding a $500 million ATM while its market cap is only $250 million; $BKKT continuously diluting stock for executive compensation. Essentially, these companies are transferring investor funds to the enterprise, masked by media hype or influencer promotion.Serenity emphasized that investors must carefully analyze equity structure, dilution risk, and hidden costs when screening targets, to avoid focusing solely on profits while seeing their actual equity shrink.
AI infrastructure company Nscale has raised nearly $4 billion in total funding, with a valuation of $14.6 billion
: AI infrastructure startup Nscale has disclosed a total of nearly $4 billion in funding. After its latest $2 billion Series C round, the company's valuation reached $14.6 billion. Nscale, formerly a spin-off from cryptocurrency mining company Arkon Energy, now focuses on building and operating AI data centers and leasing computing resources to enterprises. Its investors include tech giants such as Nvidia, Dell, and Nokia. Since 2026, Nscale has also secured $1.4 billion in GPU-backed loans and $790 million in credit facilities to support its AI infrastructure expansion plans.Nscale has previously participated in OpenAI's "Stargate" infrastructure project, deploying AI computing facilities in the UK and Norway. However, following adjustments to OpenAI's related plans, some projects have been taken over by Microsoft and Google. (Fortune)
Sources: NVIDIA plans to pitch Vera AI CPU to Chinese clients, some cloud providers eyeing test deployment
sources say NVIDIA has begun pitching its first independent central processing unit (CPU) product, Vera, to Chinese clients. Designed specifically for Agentic AI systems, the chip has entered mass production, marking NVIDIA's attempt to further expand its presence in the Chinese market with a CPU offering.According to sources, some Chinese clients have already shown interest in Vera. One major Chinese cloud computing company plans to procure over 300 servers equipped with dual Vera CPUs for testing, and will decide whether to expand procurement after the tests are completed.Built on the Arm Holdings architecture, Vera is NVIDIA's first independent CPU product. NVIDIA has previously stated that Vera's performance in AI agent-related computing tasks is 1.8 times that of comparable competitor products, and expects the product to contribute approximately $20 billion in revenue by the end of this fiscal year (ending January next year).The report notes that as the AI industry's focus gradually shifts from model training to inference computing, CPUs and custom chips are gaining more attention. Vera also positions NVIDIA to directly compete with Intel and Advanced Micro Devices (AMD), which have long dominated the server CPU market.Sources indicate that due to strict U.S. export restrictions on high-end GPUs, CPUs face relatively smaller regulatory hurdles in the Chinese market compared to GPU products. Currently, some Chinese clients plan to first deploy Vera chips for testing in overseas data centers. Meanwhile, software ecosystem compatibility and existing domestic AI chip deployment frameworks may still impact the subsequent large-scale adoption of Vera. (Reuters)
Alpha Compute Acquires Majority Stake in GAMEE for Approximately $11 Million
Nasdaq-listed Alpha Compute has announced the completion of its acquisition of a majority stake in GAMEE, a gaming and digital rewards platform, securing a 60% controlling interest. The transaction has now met all regulatory and closing conditions.According to the agreement, Alpha Compute acquired GAMEE from Animoca Brands for a consideration of approximately $11 million, implying an enterprise valuation of roughly $18 million. The transaction structure includes cash, stock, and future performance-based earnouts, along with an EBITDA milestone incentive clause over two years. Additionally, approximately 878 million GMEE tokens associated with Animoca are also included in the transaction arrangement.Following the transaction, Alpha Compute will establish a new AI gaming division named Alpha Games, with GAMEE founder Bozena Rezab serving as Executive Vice President. GAMEE will be integrated into Alpha Compute's AI infrastructure system, working in synergy with its GPU computing platform.
Bloomberg: ICE, parent company of NYSE, plans to launch a computing power futures market
Intercontinental Exchange (ICE), the parent company of the New York Stock Exchange, announced plans to launch futures contracts with "computing power" as the underlying asset, designed to track cost changes for GPUs and other computing resources supporting the AI industry. The product still requires regulatory approval. According to reports, ICE will collaborate with financial infrastructure company Ornn to develop a related derivatives pricing system based on its GPU Cost Index. This index will be used to underpin computing power futures contracts. (Bloomberg)
AethirClaw Launches Pre-configured Crypto AI Agent CARA, Deployable in 5 Minutes
AethirClaw has officially launched CARA (Pre-configured Crypto AI Agent), running on Aethir's decentralized GPU infrastructure. Equipped with over 50 skills, it covers core crypto scenarios such as real-time market monitoring, whale wallet tracking, on-chain analysis, social media sentiment monitoring, and project due diligence, and users can use it out-of-the-box without any technical configuration.The platform supports payments via credit card as well as USDT, USDC, and ATH tokens. Aethir also disclosed that it will soon launch a Model-as-a-Service (MaaS) layer, running mainstream open-source large models on Aethir's decentralized GPU infrastructure, and expand multimodal capabilities including text-to-image and video generation.
Ethereum Foundation Discloses Q1 2026 Ecosystem Grant List, Totaling Nearly $10 Million
According to the Ethereum Foundation’s official website, its Ecosystem Support Program (ESP) allocated a total of $9.856 million in Q1 2026, with funding concentrated on core infrastructure areas including cryptography, zero-knowledge proofs, security audits, and protocol research. Key funded projects this quarter include: - In the ZK domain: formal verification of zkVMs, GPU-accelerated R1CS witness generation, and intermediate representation optimization for LLZK; - In security: cryptanalysis of Poseidon, cross-platform canonical signing libraries for ERC-7730, and specification-compliance testing for ePBS; - In node and client development: Erigon zkEVM extensions, Besu HSM compliance integration, and the multi-node validator Vero; - Additionally, privacy tools (Kohaku SDK, Tor bridge extensions), continued operations of the Layer 2 transparency platform L2BEAT, and R&D for the Lighthouse client’s transition to the Fusaka fork. On ecosystem development, ESP simultaneously supported Ethereum developer events in Seoul, Hong Kong, Vancouver, and Buenos Aires, advanced updates to the Ethereum climate impact assessment, and backed policy research initiatives by the European Decentralization Institute (EDI).
Aethir Prevents Cross-Chain Bridge Vulnerability Attack and Promises Compensation
Decentralized GPU cloud computing infrastructure platform Aethir confirmed that its Ethereum-related bridge contract was attacked. The team promptly disconnected the affected contract and, in collaboration with major exchanges, blacklisted the hacker’s wallet, limiting losses to under $90,000. Earlier, blockchain security firm PeckShield estimated losses at $400,000. The attacker exploited Aethir’s cross-chain smart contract, AethirOFTAdapter, to transfer stolen funds from BNB Chain to Tron. Aethir stated that its Ethereum mainnet ATH token supply remains unaffected. It plans to release a detailed compensation plan and incident analysis next week and will collaborate with exchanges including Binance, Upbit, and Bithumb to freeze funds. Web3 security platform ZeroShadow is assisting with the investigation. In 2025, Aethir achieved $127.8 million in revenue and deployed over 440,000 GPU containers globally.
Goldman Sachs and JPMorgan Explore "Computing Power Financialization," Plan to Launch GPU Rental Futures to Hedge AI Risks
sources familiar with the matter have revealed that Goldman Sachs and JPMorgan are exploring trading methods based on the cost of computing power, including futures contracts linked to GPU rental prices. As one of the scarcest resources amid the AI boom, related futures for GPUs are expected to be listed on exchanges later this year.Industry insiders stated that this move reflects how the influx of hundreds of billions of dollars into data centers and the chip sector is reshaping the financial market landscape. For banks financing the construction of AI infrastructure, such innovative instruments could become a new means of risk management. (The Information)
“New Stock God” Serenity: Stock Price Rises Don’t Necessarily Create Value; Avoid Companies with “Toxic” Financing Structures or Crushing Debt
"New Stock God" Serenity posted on X platform, reminding investors to pay attention to financing structures and the dynamics of outstanding shares, as these are crucial for investment returns, and provided examples:IREN: The financing method approaches infinite dilution, with each rebound met by selling pressure—essentially a "bad stock."NBIS: Up 153% year-to-date, thanks to an optimized financing structure (such as direct offerings, convertible bond combinations, etc.).CRWV: High debt interest; the company uses usurious loans for GPU financing, which erodes free cash flow over the long term.Serenity pointed out that if a company has strong fundamentals, one could consider going long after the original shareholding has been diluted to near zero. However, for equity value appreciation, one should stay away from companies with "toxic" financing structures or crushing debt. The risk is especially high for small-cap companies, such as $SLNH adding a $500 million ATM while its market cap is only $250 million; $BKKT continuously diluting stock for executive compensation. Essentially, these companies are transferring investor funds to the enterprise, masked by media hype or influencer promotion.Serenity emphasized that investors must carefully analyze equity structure, dilution risk, and hidden costs when screening targets, to avoid focusing solely on profits while seeing their actual equity shrink.
AI Industry Express: NVIDIA NVL576 Optical Engine Configuration May Increase by 78%, Potentially Benefiting Lumentum, Coherent, etc.
According to Citrini analyst Jukan, FundaAI's latest report reveals that NVIDIA's NVL576 passive co-packaged optics technology nearly doubles the density of optical engines and optical components. The passive co-packaged optics technology increases the configuration volume of 3.2T optical engines per GPU from approximately 2.25 to around 4.0, an increase of 78%. It is estimated that the demand for Rubin Ultra optical engines will reach about 12 million units.This news may directly benefit direct suppliers of optical engines, including Lumentum, Coherent, POET, among others.
AethirClaw Launches Pre-configured Crypto AI Agent CARA, Deployable in 5 Minutes
AethirClaw has officially launched CARA (Pre-configured Crypto AI Agent), running on Aethir's decentralized GPU infrastructure. Equipped with over 50 skills, it covers core crypto scenarios such as real-time market monitoring, whale wallet tracking, on-chain analysis, social media sentiment monitoring, and project due diligence, and users can use it out-of-the-box without any technical configuration.The platform supports payments via credit card as well as USDT, USDC, and ATH tokens. Aethir also disclosed that it will soon launch a Model-as-a-Service (MaaS) layer, running mainstream open-source large models on Aethir's decentralized GPU infrastructure, and expand multimodal capabilities including text-to-image and video generation.
AI server intermediary platform Hydra Host raises $100 million, led by Kindred Ventures
Hydra Host, a data center software startup and AI server intermediary platform, has completed a $100 million funding round at a post-money valuation of nearly $800 million. The round was led by Kindred Ventures. Other investors include Nvidia, ARK Invest, Magnetar Capital (an early investor in CoreWeave), and existing shareholders Founders Fund and Flume Ventures.Founded in 2021, Hydra Host initially served cryptocurrency miners but has since pivoted to providing automation software for data center operators. This software enables them to rent out idle Nvidia AI server computing power and operate a GPU matching marketplace connecting GPU holders with renters. The company has now deployed its technology across 50 data centers globally, expanding from 30 in February of this year. (The Information)
Sharon AI and NVIDIA Reach 6-Year AI Computing Partnership, to Deploy 72MW Data Center with 40,000 GB300 GPUs
Sharon AI Holdings, a Nasdaq-listed company, announced a six-year strategic computing cooperation agreement with NVIDIA to jointly expand AI infrastructure capabilities in Australia.Under the agreement, the two parties will collaborate to build approximately 72MW of data center computing capacity and deploy infrastructure based on the NVIDIA DSX AI Factory architecture. The plan is to gradually scale up to 40,000 Grace Blackwell GB300 GPUs to meet the computing needs of AI startups, enterprise clients, and research institutions.The cooperation model adopts a structure combining revenue generation with credit support: Sharon AI will be responsible for selling cloud services based on NVIDIA's computing power, while NVIDIA, upon receiving hardware and basic product revenue, will also participate in a share of cloud service revenue, forming a sustainable "usage-driven revenue model."Sharon AI stated that this collaboration will significantly enhance its capital efficiency, enabling it to expand AI infrastructure capabilities without relying on traditional heavy-asset financing and accelerate the deployment of "sovereign AI computing power" in Australia. With this partnership, Sharon AI's total AI factory capacity will increase to 132MW, of which approximately 102MW is already contracted by clients. The company expects to deploy over 55,000 NVIDIA GPUs by mid-2027. (Businesswire)
Sources: NVIDIA plans to pitch Vera AI CPU to Chinese clients, some cloud providers eyeing test deployment
sources say NVIDIA has begun pitching its first independent central processing unit (CPU) product, Vera, to Chinese clients. Designed specifically for Agentic AI systems, the chip has entered mass production, marking NVIDIA's attempt to further expand its presence in the Chinese market with a CPU offering.According to sources, some Chinese clients have already shown interest in Vera. One major Chinese cloud computing company plans to procure over 300 servers equipped with dual Vera CPUs for testing, and will decide whether to expand procurement after the tests are completed.Built on the Arm Holdings architecture, Vera is NVIDIA's first independent CPU product. NVIDIA has previously stated that Vera's performance in AI agent-related computing tasks is 1.8 times that of comparable competitor products, and expects the product to contribute approximately $20 billion in revenue by the end of this fiscal year (ending January next year).The report notes that as the AI industry's focus gradually shifts from model training to inference computing, CPUs and custom chips are gaining more attention. Vera also positions NVIDIA to directly compete with Intel and Advanced Micro Devices (AMD), which have long dominated the server CPU market.Sources indicate that due to strict U.S. export restrictions on high-end GPUs, CPUs face relatively smaller regulatory hurdles in the Chinese market compared to GPU products. Currently, some Chinese clients plan to first deploy Vera chips for testing in overseas data centers. Meanwhile, software ecosystem compatibility and existing domestic AI chip deployment frameworks may still impact the subsequent large-scale adoption of Vera. (Reuters)
Decentralized futures exchange MNX completes $6.4 million funding round, with participation from Village Global and others
MNX, a decentralized futures exchange focused on the AI economy, has completed a $6.4 million funding round with participation from Village Global, Cambrian, Relay Digital, North Island Ventures, and others. MNX aims to build AI-native derivatives infrastructure, covering futures on GPU rental prices and data center electricity costs, valuation markets for private labs such as OpenAI, Anthropic, and DeepSeek, AI benchmarks and financial forecasting markets, as well as perpetual contracts for AI-related global equities. The platform supports leverage, portfolio margin, and batch auction for fair execution. Settlements are conducted in a fully non-custodial manner on MegaETH, with the mainnet scheduled to launch this summer.
AMD Announces $2.5 Billion Investment in UK AI Infrastructure, Collaborating with Startup Oriole to Deploy the World’s First All-Photonic-Network AI System
According to Tech Funding News, AMD CEO Lisa Su announced at London Tech Week that the company will invest up to £2 billion in UK AI infrastructure over the next five years, covering national supercomputing infrastructure development and university research collaborations. Meanwhile, AMD is partnering with Oriole Networks—a startup spun out from University College London (UCL)—to deploy the world’s first large-scale, all-photonic network AI system under the UK government’s £50 million ARIA Inference Scaling Lab initiative. This system integrates Oriole’s PRISM photonic networking platform with AMD Instinct GPUs and EPYC CPUs; by completely eliminating electronic switches from the network core, it reduces core network energy consumption by 81% and cuts GPU idle time from 60% to under 1%.
AI infrastructure company Nscale has raised nearly $4 billion in total funding, with a valuation of $14.6 billion
: AI infrastructure startup Nscale has disclosed a total of nearly $4 billion in funding. After its latest $2 billion Series C round, the company's valuation reached $14.6 billion. Nscale, formerly a spin-off from cryptocurrency mining company Arkon Energy, now focuses on building and operating AI data centers and leasing computing resources to enterprises. Its investors include tech giants such as Nvidia, Dell, and Nokia. Since 2026, Nscale has also secured $1.4 billion in GPU-backed loans and $790 million in credit facilities to support its AI infrastructure expansion plans.Nscale has previously participated in OpenAI's "Stargate" infrastructure project, deploying AI computing facilities in the UK and Norway. However, following adjustments to OpenAI's related plans, some projects have been taken over by Microsoft and Google. (Fortune)
Related news
AI server intermediary platform Hydra Host raises $100 million, led by Kindred Ventures
Hydra Host, a data center software startup and AI server intermediary platform, has completed a $100 million funding round at a post-money valuation of nearly $800 million. The round was led by Kindred Ventures. Other investors include Nvidia, ARK Invest, Magnetar Capital (an early investor in CoreWeave), and existing shareholders Founders Fund and Flume Ventures.Founded in 2021, Hydra Host initially served cryptocurrency miners but has since pivoted to providing automation software for data center operators. This software enables them to rent out idle Nvidia AI server computing power and operate a GPU matching marketplace connecting GPU holders with renters. The company has now deployed its technology across 50 data centers globally, expanding from 30 in February of this year. (The Information)
Sharon AI and NVIDIA Reach 6-Year AI Computing Partnership, to Deploy 72MW Data Center with 40,000 GB300 GPUs
Sharon AI Holdings, a Nasdaq-listed company, announced a six-year strategic computing cooperation agreement with NVIDIA to jointly expand AI infrastructure capabilities in Australia.Under the agreement, the two parties will collaborate to build approximately 72MW of data center computing capacity and deploy infrastructure based on the NVIDIA DSX AI Factory architecture. The plan is to gradually scale up to 40,000 Grace Blackwell GB300 GPUs to meet the computing needs of AI startups, enterprise clients, and research institutions.The cooperation model adopts a structure combining revenue generation with credit support: Sharon AI will be responsible for selling cloud services based on NVIDIA's computing power, while NVIDIA, upon receiving hardware and basic product revenue, will also participate in a share of cloud service revenue, forming a sustainable "usage-driven revenue model."Sharon AI stated that this collaboration will significantly enhance its capital efficiency, enabling it to expand AI infrastructure capabilities without relying on traditional heavy-asset financing and accelerate the deployment of "sovereign AI computing power" in Australia. With this partnership, Sharon AI's total AI factory capacity will increase to 132MW, of which approximately 102MW is already contracted by clients. The company expects to deploy over 55,000 NVIDIA GPUs by mid-2027. (Businesswire)
Sources: NVIDIA plans to pitch Vera AI CPU to Chinese clients, some cloud providers eyeing test deployment
sources say NVIDIA has begun pitching its first independent central processing unit (CPU) product, Vera, to Chinese clients. Designed specifically for Agentic AI systems, the chip has entered mass production, marking NVIDIA's attempt to further expand its presence in the Chinese market with a CPU offering.According to sources, some Chinese clients have already shown interest in Vera. One major Chinese cloud computing company plans to procure over 300 servers equipped with dual Vera CPUs for testing, and will decide whether to expand procurement after the tests are completed.Built on the Arm Holdings architecture, Vera is NVIDIA's first independent CPU product. NVIDIA has previously stated that Vera's performance in AI agent-related computing tasks is 1.8 times that of comparable competitor products, and expects the product to contribute approximately $20 billion in revenue by the end of this fiscal year (ending January next year).The report notes that as the AI industry's focus gradually shifts from model training to inference computing, CPUs and custom chips are gaining more attention. Vera also positions NVIDIA to directly compete with Intel and Advanced Micro Devices (AMD), which have long dominated the server CPU market.Sources indicate that due to strict U.S. export restrictions on high-end GPUs, CPUs face relatively smaller regulatory hurdles in the Chinese market compared to GPU products. Currently, some Chinese clients plan to first deploy Vera chips for testing in overseas data centers. Meanwhile, software ecosystem compatibility and existing domestic AI chip deployment frameworks may still impact the subsequent large-scale adoption of Vera. (Reuters)
Decentralized futures exchange MNX completes $6.4 million funding round, with participation from Village Global and others
MNX, a decentralized futures exchange focused on the AI economy, has completed a $6.4 million funding round with participation from Village Global, Cambrian, Relay Digital, North Island Ventures, and others. MNX aims to build AI-native derivatives infrastructure, covering futures on GPU rental prices and data center electricity costs, valuation markets for private labs such as OpenAI, Anthropic, and DeepSeek, AI benchmarks and financial forecasting markets, as well as perpetual contracts for AI-related global equities. The platform supports leverage, portfolio margin, and batch auction for fair execution. Settlements are conducted in a fully non-custodial manner on MegaETH, with the mainnet scheduled to launch this summer.
Goldman Sachs and JPMorgan Explore "Computing Power Financialization," Plan to Launch GPU Rental Futures to Hedge AI Risks
sources familiar with the matter have revealed that Goldman Sachs and JPMorgan are exploring trading methods based on the cost of computing power, including futures contracts linked to GPU rental prices. As one of the scarcest resources amid the AI boom, related futures for GPUs are expected to be listed on exchanges later this year.Industry insiders stated that this move reflects how the influx of hundreds of billions of dollars into data centers and the chip sector is reshaping the financial market landscape. For banks financing the construction of AI infrastructure, such innovative instruments could become a new means of risk management. (The Information)
AMD Announces $2.5 Billion Investment in UK AI Infrastructure, Collaborating with Startup Oriole to Deploy the World’s First All-Photonic-Network AI System
According to Tech Funding News, AMD CEO Lisa Su announced at London Tech Week that the company will invest up to £2 billion in UK AI infrastructure over the next five years, covering national supercomputing infrastructure development and university research collaborations. Meanwhile, AMD is partnering with Oriole Networks—a startup spun out from University College London (UCL)—to deploy the world’s first large-scale, all-photonic network AI system under the UK government’s £50 million ARIA Inference Scaling Lab initiative. This system integrates Oriole’s PRISM photonic networking platform with AMD Instinct GPUs and EPYC CPUs; by completely eliminating electronic switches from the network core, it reduces core network energy consumption by 81% and cuts GPU idle time from 60% to under 1%.