AI Briefing#ai-inference
The latest AI and developer news about #ai-inference, with the original source and a short summary.
The latest AI and developer news about #ai-inference, with the original source and a short summary.
Developed an AI inference compiler that automatically generates AVX-512 SIMD-optimized code to meet the real-time constraints of 5G RAN.
To counter 'inference theft' attacks that unauthorizedly use or resell costly AI inference resources, a security strategy that verifies every request is essential.
DeepSeek has confirmed the 75% discounted price for the V4-Pro API as the permanent official price.
The sharp decline in AI inference costs is being driven by software, and local open models are quickly catching up to frontier model performance.
Figure's humanoid robot autonomously performed tasks for 8 hours using the Helix-02 neural network.
Skymizer has announced the HTX301 PCIe inference card, featuring 384GB of memory and around 240W power draw.
AI agent inference exposes data and storage bottlenecks first.
DigitalOcean unveiled an AI-native cloud built for inference and agent workloads.
The AI inference market is fragmenting by use case.
Google is expanding its AI inference chip supply chain by adding Marvell alongside Broadcom.
GHOST v2.1 adds native Windows support, simplifying running AI models on AMD GPUs.
Darkbloom, a decentralized AI inference network that cuts costs by 70% by leveraging idle Apple Silicon Macs, has launched.
It links idle Apple Silicon Macs together to build an end-to-end encrypted inference network.
For 96GB VRAM setups, Qwen 3.5 122B and 27B have emerged as the practical choices.
From Kubernetes networking to DR and the EU AI Act, this issue examines the key infrastructure challenges of the AI era.
LG U+ and FuriosaAI unveiled an on-premise inference server combining a domestically developed model, platform, and AI silicon.
FuriosaAI has started mass shipments of RNGD, marking its full-scale entry into the enterprise AI inference market.
A 4-chiplet AI SoC implements a full-chip mesh with 16Gbps UCIe-Advanced.
Lowering AI inference costs requires optimizing every layer, from the model to scheduling.
FuriosaAI has unveiled the 'NXT RNGD Server,' a turnkey solution for AI inference optimized for existing data center infrastructure.
Rebellions unveiled a high-efficiency LLM serving technology compatible with vLLM by optimizing FlashAttention and other techniques for NPUs.
Stability AI partnered with NVIDIA to launch Stable Diffusion 3.5 NIM, significantly improving the speed and efficiency of enterprise model deployment.
By using asynchronous inference that separates action prediction from execution, robot control latency is reduced and task speed is doubled.
FuriosaAI's AI inference chip **RNGD** demonstrated outstanding throughput and power efficiency on **Llama 3.1** models.