Tech News by InClicks

▲ Anthropic Claude flips enterprise AI market — 70% new customer win rate Anthropic Claude is the AI model developed by Anthropic that, as of March 2026, captures approximately 70% of first-time enterprise AI purchases — surpassing OpenAI in new customer acquisition. According to Ramp's March 2026 AI Index and reporting by The Register on March 19, Anthropic's enterprise subscription share stands at 24.4% , rapidly closing the gap on OpenAI's 34.4% . Why Are Enterprises Choosing Claude Over ChatGPT? The shift didn't happen overnight. Just a year ago, only 1 in 25 businesses on the Ramp platform paid for Anthropic. Today that figure has grown to nearly 1 in 4 . Two key factors are driving the switch. First, Claude Code is outperforming OpenAI's Codex in real-world developer environments — making it the preferred choice for engineering-led companies where coding productivity directly impacts revenue. Second, Anthropic's public refusal to allow Claude to...

▲ NVIDIA NemoClaw announced at GTC 2026 NemoClaw is NVIDIA's enterprise-grade software stack that adds security and privacy controls on top of OpenClaw, the popular open-source AI agent framework. Announced at GTC 2026 on March 16 , NemoClaw was introduced alongside a partnership with OpenClaw creator Peter Steinberger. CEO Jensen Huang described OpenClaw as "the operating system for personal AI," positioning NemoClaw as its secure, enterprise-ready counterpart. Why Did OpenClaw Need Enterprise Security? OpenClaw rapidly grew into one of the fastest open-source projects in history, enabling developers to build and run AI agents locally. However, enterprises faced a critical barrier: no built-in data privacy, no permission controls, and no network isolation. NVIDIA recognized OpenClaw's community momentum and decided to solve the security gap directly, rather than building a competing platform. NemoClaw installs in a single command, adding a full security layer...

▲ Samsung HBM4E world-first reveal at GTC 2026 HBM4E (High Bandwidth Memory 4th-generation Extended) is Samsung's 7th-generation high-bandwidth memory chip, delivering 16 Gbps per pin and 4.0 TB/s bandwidth per stack — roughly 21% faster than the current HBM4 generation. Samsung Electronics unveiled HBM4E for the first time at NVIDIA GTC 2026 in San Jose on March 16, 2026, drawing a personal booth visit and public endorsement from NVIDIA CEO Jensen Huang. Why Did Jensen Huang Personally Visit Samsung's Booth? During GTC 2026, Jensen Huang walked into Samsung's booth and signed the HBM4E display frame, a Groq chip prototype, and a Vera Rubin test unit — all with a gold marker. Accompanied by Samsung's DSA division chief Sangyun Cho, Huang repeatedly exclaimed "Samsung is world's best!" and "Let's go Samsung!" The visit was far from ceremonial. Samsung now supplies both HBM memory and Groq 3 LPU foundry manufacturing (on its 4nm proc...

▲ NVIDIA GTC 2026 GPU+LPU division of labor The Groq 3 LPU (Language Processing Unit) is a dedicated AI inference chip — specialized hardware designed solely for the "thinking" stage where AI models generate responses. NVIDIA unveiled it at GTC 2026, formally splitting the AI chip world in two: GPUs train, and LPUs infer. This strategic shift is closely tied to the rise of agentic AI — systems that autonomously think, act, and iterate in real time. Why Does Agentic AI Need a Dedicated Inference Chip? Agentic AI refers to systems that don't just respond to a single prompt — they reason through multi-step tasks, call external tools, and evaluate results in continuous loops. This loop-driven workflow demands extremely fast token generation, which is the core job of inference. GPUs are powerful at parallel computation for training, but generating tokens one at a time is not their strongest suit. In December 2025 , NVIDIA acquired inference startup Groq for $20 billion...