A Web3 Privacy Acceleration solution for AI
Multiple Network is a Web3 Privacy Acceleration solution for AI that provides privacy protection and data acceleration services based on P2P and SD-WAN technologies. By aggregating the bandwidth of distributed nodes, it offers anonymous communication and encrypted transmission services. Multiple Network provides higher bandwidth and lower latency, widely used in AI model invocation, search engine interactions, and the encryption and acceleration of large-scale sensitive data, enhancing the efficiency and security of AI model training and inference.
Binance Alpha will remove a total of 14 tokens from its recommended list on September 4 at 16:30: MTP (Multiple Network), BDXN (Bondex Token), TALE (PrompTale AI), BOS (BitcoinOS), MAIGA (Maiga.ai), TIMI (MetaArena), SAROS (Saros), U (Union), SERAPH (SERAPH), RVV (REVIVE), AIAV (AI Avatar), PENGUIN (Nietzschean Penguin), ODOS (Odos), and SN3 (Nebula3). Following the removal, withdrawals and selling for these tokens will continue to be supported.
Odaily News: According to an official announcement, Binance Alpha will remove the following tokens at 08:30 (UTC) on 2026-09-04: MTP, BDXN, TALE, BOS, MAIGA, TIMI, SAROS, U, SERAPH, RVV, AIAV, PENGUIN, ODOS, SN3. After the removal, users can still withdraw or sell these tokens via Binance Alpha or Binance Wallet.
Binance Alpha will remove a total of 14 tokens from its recommended list on September 4 at 16:30: MTP (Multiple Network), BDXN (Bondex Token), TALE (PrompTale AI), BOS (BitcoinOS), MAIGA (Maiga.ai), TIMI (MetaArena), SAROS (Saros), U (Union), SERAPH (SERAPH), RVV (REVIVE), AIAV (AI Avatar), PENGUIN (Nietzschean Penguin), ODOS (Odos), and SN3 (Nebula3). Following the removal, withdrawals and selling for these tokens will continue to be supported.
Odaily News - AMD has announced "Day 0" support for Qwen3.8 27B, the latest-generation model from Alibaba's Tongyi Qianwen (Qwen) series, enabling developers to run this large-scale open-source AI model locally on AMD hardware on the very day of its release.AMD stated that Qwen3.8 27B is a 27B-parameter intensive model suited for local AI development, continuing the Qwen series' optimization focus on code generation, practical work tasks, scientific research, and long-context AI applications. The model can run via the open-source inference framework llama.cpp on AI PCs and workstations powered by AMD processors, or on a single AMD 32GB graphics card, while also supporting AMD hardware platforms with over 24GB of variable graphics memory (VGM) or VRAM capacity.AMD's preliminary tests show that Qwen3.8 27B delivers strong local inference performance on AMD platforms: up to 24.5 tokens/second on the AMD Ryzen AI Max+ 395 processor, and up to 51.8 tokens/second on a single Radeon AI PRO R9700 GPU. The tests were conducted on Windows systems using the llama.cpp Vulkan backend with multi-token prediction (MTP) optimization enabled. AMD noted that actual performance still has room for improvement as further software and model optimizations are rolled out.
Binance Alpha will remove a total of 14 tokens from its recommended list on September 4 at 16:30: MTP (Multiple Network), BDXN (Bondex Token), TALE (PrompTale AI), BOS (BitcoinOS), MAIGA (Maiga.ai), TIMI (MetaArena), SAROS (Saros), U (Union), SERAPH (SERAPH), RVV (REVIVE), AIAV (AI Avatar), PENGUIN (Nietzschean Penguin), ODOS (Odos), and SN3 (Nebula3). Following the removal, withdrawals and selling for these tokens will continue to be supported.
Odaily News: According to an official announcement, Binance Alpha will remove the following tokens at 08:30 (UTC) on 2026-09-04: MTP, BDXN, TALE, BOS, MAIGA, TIMI, SAROS, U, SERAPH, RVV, AIAV, PENGUIN, ODOS, SN3. After the removal, users can still withdraw or sell these tokens via Binance Alpha or Binance Wallet.
Odaily News - AMD has announced "Day 0" support for Qwen3.8 27B, the latest-generation model from Alibaba's Tongyi Qianwen (Qwen) series, enabling developers to run this large-scale open-source AI model locally on AMD hardware on the very day of its release.AMD stated that Qwen3.8 27B is a 27B-parameter intensive model suited for local AI development, continuing the Qwen series' optimization focus on code generation, practical work tasks, scientific research, and long-context AI applications. The model can run via the open-source inference framework llama.cpp on AI PCs and workstations powered by AMD processors, or on a single AMD 32GB graphics card, while also supporting AMD hardware platforms with over 24GB of variable graphics memory (VGM) or VRAM capacity.AMD's preliminary tests show that Qwen3.8 27B delivers strong local inference performance on AMD platforms: up to 24.5 tokens/second on the AMD Ryzen AI Max+ 395 processor, and up to 51.8 tokens/second on a single Radeon AI PRO R9700 GPU. The tests were conducted on Windows systems using the llama.cpp Vulkan backend with multi-token prediction (MTP) optimization enabled. AMD noted that actual performance still has room for improvement as further software and model optimizations are rolled out.