Delivering AI Inference
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TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI
Announce Type: cross Abstract: Multimodal stacks that mix ViTs, CNNs, GNNs, and transformer NLP strain embedded platforms because their compute/memory patterns diverge and hard real-time targets leave little slack. TRINE is a single-bitstream FPGA accelerator and compiler that executes end-to-end multimodal inference without reconfiguration.
Megaport secures 4 AI deals, to raise $594 million to build inference cloud
Megaport secures 4 AI deals, to raise $594 million to build inference cloud June 3 : Australia's Megaport said on Wednesday it has secured four new AI infrastructure contracts worth A$458.9 million and will raise A$827.3 million ($594 million) to build an inference cloud to cash in on surging demand for AI-related facilities. The deals underscore the fierce race among infrastructure providers to capture a share of the booming AI compute market, as firms across industries scramble to secure...
On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection
new Abstract: Visual monitoring systems that rely on cloud-based AI inference expose raw image data to external services, creating fundamental tensions with the data-minimisation principle of the General Data Protection Regulation (GDPR). This paper presents a proof-of-concept privacy-by-design pipeline that resolves this tension by confining all inference entirely to the edge device. A YOLOv5n-seg model compiled for a Hailo-8L AI accelerator delivers real-time object detection on a...
Marvell enters the AI network fray with 102.4 Tbps switch silicon
Marvell enjoyed a fillip from Nvidia chief Jensen Huang at Computex, who praised the firm as it unveiled the latest 102.4 Tbps switch silicon it has purpose-built for AI infrastructure. The fabless semiconductor biz announced upcoming availability of its Teralynx T100 chip to coincide with the Taiwanese trade show, claiming that it needs 25 percent lower power than competitive solutions with lower latency for AI training and inference workloads. But the firm is late to this party, as other...
Australia's Megaport secures four new AI infrastructure contracts, to raise $594 million
Australia's Megaport secures four new AI infrastructure contracts, to raise $594 million June 3 : Australia's Megaport said on Wednesday it has secured four new AI infrastructure contracts with a total contract value of about A$458.9 million ($329.49 million), and launched a fully underwritten entitlement offer to raise A$827.3 million ($594 million). The four contracts, all with U.S.-based technology providers running AI applications, are expected to start in the first half of 2027 and...
Nvidia Cosmos 3
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world, predict what’s likely to happen next, and generate actions for specific environments, embodiments, and tasks. NVIDIA Cosmos 3 is a frontier foundation model for physical AI that combines physical reasoning, world generation, and action generation within a single open model.
Arm moves into the heart of the cloud stack
Arm-based processors are becoming a fundamental part of modern cloud infrastructure, moving beyond being a mere option. Major hyperscalers like AWS, Google Cloud, and Microsoft Azure are deploying Arm silicon to meet growing demands for performance while controlling power consumption and cost. This shift is enabling significant efficiency gains, with some companies reporting substantial cost savings and performance improvements by adopting heterogeneous cloud environments.
Eroding a virtue: AI trains people to expect instant answers, and that's bad news for patience
Eroding a virtue: AI trains people to expect instant answers, and that's bad news for patience Gaby Clark Scientific Editor Andrew Zinin Lead Editor When I was growing up, teachers would assign research papers that required going to the library, or later, searching for relevant material on the internet. If the paper was going to turn out well, we students needed to patiently comb through piles of material, weaving what we found into a coherent argument that was well-supported with evidence....