JustCarbon, Likvidi Launch Blockchain Markets for Carbon Credits

CoinDeskPublicado a 2022-03-10Actualizado a 2022-03-10

Resumen

JustCarbon and Likvidi both announced the start of trading platforms for tokenized carbon credits, giving participants the ability to trade greenhouse-gas emissions and lower their carbon footprints.

JustCarbon and Likvidi both announced the start of trading platforms for tokenized carbon credits, giving participants the ability to trade greenhouse-gas emissions and lower their carbon footprints.
JustCarbon opened a marketplace for its JustCarbon Removal Units (JCRs), it said Thursday. Likvidi announced a platform for its Liquid Carbon Credit (LCO2) on Wednesday.
Both LCO2 and JCRs are blockchain versions of carbon credits issued by Verra (VCS). JCRs also represent credits issued by Gold Standard. Each is equivalent to 1 metric ton of carbon.
The two companies join a growing band of institutions exploring how blockchain technology can be used to improve environmental management. China introduced a carbon trading system last summer, and late last year the University of Cambridge said it was working on a similar project, looking to develop a blockchain-based market for trading carbon credits that will support reforestation projects to preserve biodiversity through the Cambridge Centre for Carbon Credits.
"The world is now waking up to the challenge of reducing carbon emissions. Governments alone won’t achieve this," Likvidi CEO and co-founder Ransu Salovaara said in an emailed statement.
JustCarbon aims to build a transparent and effective “nature-based carbon sequestration marketplace,” it said in a press release. The project also wants to provide a way for smaller companies to offset and trade their greenhouse-gas emissions. The tokens have been built to operate cross-chain and will be tradable on third-party exchanges from today.
Buying a carbon credit gives the holder the right to offset one metric ton of carbon or greenhouse gas equivalent. In order to obtain an offset, the token must be destroyed.
JustCarbon's platform will be administered by a decentralized autonomous organization (DAO), which means that no single entity or vested interest group will own or control it. A separate token, the JustCarbon Governance Unit (JCG), will facilitate community voting and decision making for the DAO.
Likvidi is working with DAO Maker. The platform will run on Avalanche.
JustCarbon has also partnered with NFT Design Works, a creator and curator of digital collectables, so that non-fungible tokens (NFT) can benefit from carbon offsetting.

Lecturas Relacionadas

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

The stock price of Marvell Technology surged 32.5% on June 2nd, driven by NVIDIA CEO Jensen Huang highlighting its custom ASICs and optical interconnects as core to AI data center architecture. This event brought attention to the Chinese semiconductor family behind Marvell: the Dai siblings. The story centers on three siblings, all UC Berkeley graduates, whose three-decade entrepreneurial journey aligns with major semiconductor industry shifts. In 1995, youngest sister Dai Wei Li co-founded Marvell with her husband Sehat Sutardja and his brother, focusing on storage controllers. Eldest brother Dai Wei Min founded EDA company Ultima, later sold to Cadence, and later founded VeriSilicon (芯原) in China, becoming a leading semiconductor IP provider. Second brother Dai Wei Jin co-founded EDA firm Silicon Perspective (sold to Cadence) and GPU IP company Vivante, later acquired by VeriSilicon. The combined "Dai-Sutardja" family network extends beyond Marvell. Their ventures and investments form a comprehensive ecosystem for the post-Moore's Law, chiplet era. Key holdings include: Dream Big Semiconductor (AI SuperNICs, acquired by Arm), Alphawave (high-speed SerDes IP, acquired by Qualcomm), and Silicon Box (a chiplet advanced packaging foundry). VeriSilicon itself thrives on the AI ASIC and IP boom in China. Collectively, the family's AI infrastructure-related portfolio is estimated at over $22 billion. Their strategy represents a distinct path: building critical components for open standards and key manufacturing capacity in the chiplet era, rather than pursuing standalone AI chip dominance. While this path may not create the next NVIDIA, it has enabled repeated successful exits and sustained influence within the global semiconductor industry.

marsbitHace 35 min(s)

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

marsbitHace 35 min(s)

Microsoft is Afraid of Being Marginalized by AI Giants

Microsoft, once the defining force of the PC era, now faces a familiar challenge in the AI age: the risk of being relegated to a profitable but invisible infrastructure provider. This anxiety was laid bare at Build 2026, where CEO Satya Nadella unveiled a major strategic pivot. The catalyst was a quiet April agreement that dissolved Microsoft's exclusive licensing and cloud-hosting deal with OpenAI, its once-vital partner. This erased Microsoft's key AI moat. With OpenAI and Anthropic defining AI applications and gaining enterprise traction—even within Microsoft's own ranks—Nadella had to answer: without exclusivity, what is Microsoft's role? The answer was a suite of seven in-house AI models, a developer-focused AI workstation (Surface RTX Spark Dev Box), and, most crucially, the Agent 365 platform for enterprise AI governance. The models, notably targeting Anthropic's strengths in coding and enterprise, signal a defensive move. However, the broader strategy is to make the models themselves less decisive. Financially, Microsoft's AI revenue is strong, driven largely by Azure running others' models. Yet its user-facing products like Copilot show weak penetration and engagement. Microsoft earns infrastructure money but lacks direct user mindshare. Nadella's core fear is being "hollowed out." As OpenAI and Anthropic prepare for IPOs and gain financial independence, they may build their own infrastructure, threatening Azure's lucrative AI revenue stream. Microsoft's window is to entrench itself deeper: not as the model creator, but as the indispensable platform for securely deploying, managing, and governing all AI models within the enterprise through Agent 365. Build 2026 revealed Microsoft's bet: in the AI era, the ultimate power lies not in any single model, but in the enterprise "operating system" that controls them. Nadella is determined to ensure Microsoft is the driver of this new era, not just a passenger.

marsbitHace 49 min(s)

Microsoft is Afraid of Being Marginalized by AI Giants

marsbitHace 49 min(s)

US Stocks Surge 16% in Two Months: Only 4 Occurrences in History, the Most Recent Was Just Before the 1987 Crash

U.S. stocks have surged 16% over April and May, a gain seen only four times since WWII, according to Deutsche Bank strategist Henry Allen. Three prior instances followed recessions, but the sole non-recession precedent was in early 1987, months before the "Black Monday" crash. The current rally is underpinned by AI enthusiasm and strong data, but its speed without an economic recovery is historically unprecedented. Meanwhile, credit spreads remain near record lows despite growing consumer strain—the U.S. savings rate hit just 2.6% in April, a level last seen before the Global Financial Crisis, and consumer sentiment is at its lowest since 1952. Market risks are concentrated. While stocks and credit markets appear immune to geopolitical tensions, sovereign bonds tell a different story. Treasury yields have tracked oil prices and recently hit multi-year highs, creating a widening divergence with equities. Surprisingly stable oil prices, despite the prolonged closure of the Strait of Hormuz, have been a key pillar for risk assets. However, if the blockage persists, this support could fade, raising the risk of a stagflation shock not currently priced in.

marsbitHace 50 min(s)

US Stocks Surge 16% in Two Months: Only 4 Occurrences in History, the Most Recent Was Just Before the 1987 Crash

marsbitHace 50 min(s)

CPU, Quietly Returning to the Center of the AI Computing Power Stage

Over the past three years, AI computing power narratives have been dominated by GPUs. However, starting in 2026, this story began to shift. While training large models remains GPU-intensive, the rapid growth of inference and AI agent workloads, which require high levels of task orchestration, concurrency, and data flow management, has highlighted a renewed critical role for CPUs. These are tasks GPUs are not designed to handle. Intel's recent launch of the Xeon 6+ processor, built on its Intel 18A process and featuring up to 288 efficiency cores (E-cores), exemplifies this strategic pivot. It is positioned not as a mere companion to GPUs but as the essential "control plane" for AI infrastructure, optimized for high-density, energy-efficient, and high-throughput workloads characteristic of AI agents and inference. This "CPU resurgence" is not about CPUs outperforming GPUs in raw computation. It reflects a systemic bottleneck: as AI scales from training single models to deploying countless intelligent agents, the demand for coordination and data handling surges. Major cloud providers are also developing their own high-density ARM-based server CPUs for similar workloads. However, Intel's success with this strategy faces significant challenges. Competition includes NVIDIA's integrated CPU-GPU solutions, the expanding adoption of cloud vendors' in-house ARM CPUs, and the crucial market test of Intel's 18A manufacturing process against rivals like TSMC's N2. In conclusion, CPUs are indeed reclaiming a central, though redefined, role in AI compute—managing the complex orchestration that enables massive-scale AI deployment. While the trend is clear, which company will ultimately lead this CPU resurgence remains an open question to be decided in the data centers of 2027 and beyond.

marsbitHace 1 hora(s)

CPU, Quietly Returning to the Center of the AI Computing Power Stage

marsbitHace 1 hora(s)

TON Rebrands Native Token As Gram, Reviving Original White Paper Name

The native token of the Toncoin (TON) network is being rebranded to 'Gram,' reviving its original name from the project's first white paper. This change, announced by Telegram co-founder and CEO Pavel Durov, is the fourth step in his "Make TON Great Again" (MTONGA) initiative. The transition period is expected to take about three weeks, and a new logo has been previewed. The rebrand follows Telegram's official return to the ecosystem in May as its largest validator, after a six-year absence that began with a 2020 legal dispute with the SEC. Durov stated that the move "returns to our roots" and paves the way for future developments, with three more steps remaining in the MTONGA roadmap. At the time of the announcement, Gram was trading around $2.02.

bitcoinistHace 1 hora(s)

TON Rebrands Native Token As Gram, Reviving Original White Paper Name

bitcoinistHace 1 hora(s)

Trading

Spot

Futuros

Artículos destacados

Cómo comprar BAND

¡Bienvenido a HTX.com! Hemos hecho que comprar Band Protocol (BAND) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Band Protocol (BAND) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Band Protocol (BAND)Después de comprar tu Band Protocol (BAND), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Band Protocol (BAND)Tradear fácilmente con Band Protocol (BAND) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

74 Vistas totalesPublicado en 2024.12.12Actualizado en 2026.06.02

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de BAND (BAND).