DUBAI, UAE, Aug. 8, 2026 /PRNewswire/ -- Bybit, the world's second-largest cryptocurrency exchange by trading volume, has expanded its UTA Loan Interest-Free Borrowing program, extending interest-free borrowing eligibility to 22 additional major crypto assets. Combined with USDT and USDC, the program now covers 24 assets in total.
The expansion helps reduce funding costs for traders using Perpetual and Futures products, giving avid traders greater flexibility in capital management under Bybit's Unified Trading Account (UTA) framework.
Under the new framework, asset coverage for interest-free loans now supports 24 assets, including BTC, ETH, SOL, XRP, ADA, OP, NEAR, DOT, DOGE, LINK, SUI, LTC, UNI, MNT, AAVE, BCH, HYPE, XLM, ETC, FIL, APT and AVAX, alongside USDT and USDC. This significantly broadens the scope of supported assets from two mainstream stablecoins to over a dozen cryptocurrencies.
The new mechanism balances cost efficiency and flexibility for qualified traders on Bybit:
- Lower Borrowing Costs: Traders no longer need to absorb interest charges on automatic borrowing triggered by unrealized losses on Perpetual or Futures positions. Zero interest rate applies for eligible borrowing under this scenario, as long as the amount stays within the applicable limit.
- Greater Capital Efficiency: With financing costs reduced across a wide set of 24 assets, traders can hold and adjust positions with less drag from borrowing expenses, freeing up capital that would otherwise go toward interest payments.
- Tailored VIP Benefits: The higher a trader's VIP tier, the more borrowing capacity they unlock at zero interest. Because each account, including subaccounts, is assessed independently, traders running multiple accounts benefit from separate limits rather than a shared cap.
The interest-free benefit is specific to scenarios where unrealized losses on Perpetual or Futures positions activate automatic UTA borrowing. Manual borrowing, Spot Margin borrowing, Options borrowing and other borrowing types are excluded. Once the borrowed amount exceeds the limit for an asset, interest applies to the full balance.
Borrowing limits across VIP tiers are pegged to the USD equivalent value of the borrowed asset at real-time prices and may shift with market conditions, with advance notice given before any change.
Bybit's expanded UTA Loan Interest-Free Borrowing program gives traders across VIP tiers more flexibility to manage positions without added costs. Committed to building the New Financial Platform for all, Bybit continues to introduce capital-efficient trading tools that support traders' evolving risk management needs.
Terms and conditions apply. For details on availability and eligibility, and specific limits by VIP tier and asset type, users may visit: UTA Loan futas expands interest-free borrowing to 22 more assets
#Bybit / #NewFinancialPlatform
About Bybit
Bybit is The New Financial Platform.
We believe every person should have access to every financial opportunity on earth. That's why we're building the first intelligent platform that connects anyone, anywhere to the world's finance.
Trusted by more than 80 million users worldwide, Bybit brings together investing, trading, payments, and wealth-building in a single secure and intelligent ecosystem. Through the combination of AI-powered technology, deep global liquidity, robust security, and transparent operations, Bybit makes global finance more accessible, efficient, and empowering for everyone.
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Bybit Expands UTA Loan Interest-Free Borrowing to 24 Assets, Empowering More Capital-Efficient Trading
SAN JOSE, Calif., Aug. 7, 2026 /PRNewswire/ -- At FMS 2026 on August 5, Longsys (301308.SZ) Chief Scientist Dr. Jian Chen delivered a keynote speech titled "Intelligence at the Edge: Powered by the Storage Foundry Model," addressing the new storage demands created as AI shifts from the cloud to the edge.
During the keynote, Dr. Chen introduced Longsys' Storage Foundry Model and presented three edge AI storage innovations — HLCache™, iSA™ + AISSD™, and AIDIMM™ — designed to address key industry challenges including high DRAM costs, limited memory capacity, and bandwidth constraints, creating a new pathway for edge AI storage innovation.
Engineering Culture: The Foundation of Storage Innovation
Dr. Chen traced Longsys' growth since its founding in 1999, including the launch of FORESEE, the acquisition of Lexar, expanded packaging and manufacturing through Longforce (Suzhou) Technology, and the integration of Brazil-based Zilia. Longsys now operates a global manufacturing network supporting worldwide delivery.
Rather than focusing solely on standardized products like traditional storage providers, Longsys applies full-stack engineering across eight areas — chip design, firmware development, material engineering, host software and OS-level adaptation, hardware design, packaging, automated testing, and mass production — enabling cross-domain hardware-software co-optimization and customized development. Together, these integrated capabilities across the storage value chain form the basis of the Storage Foundry Model.
Redefining Storage Collaboration for the Edge AI Era
Dr. Chen highlighted that while NAND Flash and DRAM have achieved significant cost reductions over decades, the rise of edge AI has introduced a new level of complexity. He described the fragmented edge AI landscape as a "thousand-handed challenge," where diverse architectures, AI models, device forms, and applications require coordinated solutions rather than standardized approaches.
From AI PCs and mobile devices to industrial systems and robotics, different scenarios require tailored trade-offs among performance, power efficiency, form factor, and security. The Storage Foundry Model goes beyond conventional storage offerings by enabling solutions tailored to customers' CPUs, SoCs, AI models, and system architectures — integrating hardware, firmware, and system-level optimization to accelerate development cycles and lower barriers to edge AI deployment.
Three Longsys Innovations Powering Edge AI
HLCache™ UFS leverages Longsys' self-developed High-Level Cache technology to intelligently manage hot and cold data between UFS and DRAM, reducing memory pressure and improving multitasking performance on mobile AI devices.
iSA™ + AISSD™ enables efficient local AI inference for AI PCs and AI agent hosts by offloading MoE parameters and KV cache to dedicated SSD resources, reducing DRAM usage while supporting large-scale AI models.
AIDIMM™ addresses memory bandwidth challenges in AI BOX and edge AI systems with a plug-in high-bandwidth memory architecture, featuring a native 256-bit interface and up to 307.2GB/s bandwidth. Its flexible design simplifies system upgrades and reduces hardware redesign efforts.
"Collabovate": Building the Future of Edge AI Together
Dr. Chen highlighted that as edge AI evolves from early adoption to large-scale deployment, diverse requirements across devices, architectures, and workloads cannot be addressed by a single product or technology.
To address this fragmented market, Dr. Chen introduced "Collabovate" — combining Collaboration and Innovation — as a new ecosystem collaboration approach. Through the Storage Foundry Model, Longsys is bringing together partners across chips, devices, and AI ecosystems to leverage complementary capabilities and accelerate customized edge AI solutions.
By opening its full-stack technology capabilities, Longsys aims to build a more collaborative storage ecosystem, enabling deeper industry collaboration and unlocking new possibilities for intelligent computing.
About Longsys
Founded in 1999, Longsys (301308.SZ) is a globally leading branded semiconductor memory enterprise, integrating R&D, design, packaging and testing, manufacturing, and sales services. For more information please visit https://www.longsys.com/, and follow Longsys on LinkedIn and Facebook.
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FMS 2026 | Longsys Chief Scientist Jian Chen Highlights the Storage Foundry Model for Edge AI
FMS 2026 | Longsys Chief Scientist Jian Chen Highlights the Storage Foundry Model for Edge AI
FMS 2026 | Longsys Chief Scientist Jian Chen Highlights the Storage Foundry Model for Edge AI
FMS 2026 | Longsys Chief Scientist Jian Chen Highlights the Storage Foundry Model for Edge AI
