Filter

×
Active Filters Clear All
Keyword: ASIC ×
90 Total Reports
5/5 Page
Hewlett Packard Enterprise Other High Signal 2026-03-24

HPE Enhances AI Security Architecture for Adoption Risks

HPE introduces SRX400 Series Firewalls, expanded hybrid mesh security, and AI governance capabilities to secure AI adoption. Features include AI app visibility, prompt-level inspection, and identity-based protection to mitigate data exposure risks.

Samsung Electronics Other 2026-03-20

SK Hynix Jumps to TSMC 3nm for HBM4E Logic Die to Counter Samsung's 4nm Lead

SK Hynix plans to use TSMC's 3nm process for the logic die in its 7th-gen HBM4E, a leap from the 12nm used in HBM4. This aims to reverse the performance gap with Samsung (which used 4nm logic in HBM4) and deliver higher bandwidth and power efficiency for next-gen AI chips like NVIDIA's Vera Rubin Ultra.

Fortinet Other High Signal 2026-03-10

Fortinet Integrates AI Agents and SASE in FortiOS 8.0

Fortinet introduces FortiOS 8.0 with fabric-based AI agents, secure AI controls, flexible SASE, and simplified SD-WAN to expand AI-driven security in enterprise networking, shifting control planes towards AI integration.

Trend Micro Other High Signal 2026-03-03

Trend Micro Report Highlights AI Supply Chain Risks and Model Attack Surfaces

Trend Micro's 'Fault Lines in the AI Ecosystem' report systematically analyzes security risks in the AI supply chain, including training data poisoning, third-party plugin vulnerabilities, and model theft attacks. It indicates that enterprise AI security boundaries have expanded from traditional IT infrastructure to the model layer and data pipelines.

Cisco Other High Signal 2026-02-12

Cisco Reports AI Infrastructure and Campus Networking Dual-Cycle Growth

Cisco's Q2 FY2026 results show $2.1B in AI infrastructure orders and a multi-year campus networking refresh cycle, with networking product orders growing over 20% YoY.

NVIDIA Other 2025-11-08

NVIDIA Launches Interactive AI Agent for GPU-Accelerated Data Science with Nemotron Nano-9B

NVIDIA unveils an interactive AI agent powered by Nemotron Nano-9B-v2 and CUDA-X libraries, enabling natural language orchestration of ML workflows. It achieves 3x-43x GPU acceleration over CPU for data processing, model training, and hyperparameter optimization.

Apple Other 2025-11-06

Apple Reinforces On-Device AI and Spatial Computing Developer Ecosystem Through Success Stories and Tutorials

Apple highlights Swift Student Challenge winners who built apps using SwiftUI, Core ML (on-device ML framework), and spatial computing. It also announced new tutorials for the 2026 challenge focusing on SwiftUI, spatial computing, and machine learning. This underscores Apple's ongoing investment in on-device AI, immersive experiences, and its developer toolchain.

Google Other High Signal 2020-10-11

Google Cloud Integrates MCP with Apigee and Advances Agentic Platform to Evolve Enterprise APIs for AI Agents

Google Cloud announced the general availability of Model Context Protocol (MCP) in Apigee and the advancement of its Agentic Platform, aiming to transform traditional enterprise APIs into secure, governed tools for AI agents at scale. This move integrates API governance, security layers, and AI inference infrastructure, providing core platform capabilities for enterprises shifting from API-driven to agent-driven architectures.

OpenAI Other 1970-01-01

OpenAI and Broadcom Launch Jalapeño ASIC for LLM Inference, 9-Month Tapeout

OpenAI and Broadcom unveil Jalapeño, a custom ASIC for LLM inference, achieving tapeout in 9 months. The chip reduces data movement and claims superior performance per watt. Deployment planned by end of 2026, marking OpenAI's shift to integrated hardware-software infrastructure.

NVIDIA Other 1970-01-01

NVIDIA Absorbs Groq LPU: Feynman GPU to Integrate SRAM Inference Tile, Hybrid Architecture by 2028

NVIDIA secures Groq's LPU inference technology via a non-exclusive license and key hires, planning to integrate large SRAM tiles into its 2028 Feynman GPU using TSMC SoIC hybrid bonding. This enables deterministic scheduling and 80TB/s on-chip bandwidth, shifting NVIDIA from a pure GPU vendor to a hybrid inference/training platform.