Older stories and guides from the Convly archive.
SpaceXAI’s newly released Grok 4.5 dramatically undercuts Anthropic and OpenAI on price, according to SiliconANGLE, intensifying a frontier-model price war that developers have watched build for months.
Intel’s Arc Pro B70 has reportedly outrun NVIDIA’s RTX 5090D on a DeepSeek R1 inference workload while costing roughly a quarter as much, according to Wccftech.
OpenAI and Broadcom have jointly unveiled an inference chip optimised for large language models, signalling a decisive move toward vertically integrated AI silicon.
NVIDIA has shared updates on Anthropic’s Claude models running on its Blackwell Ultra GPUs, with Microsoft Foundry availability signalling a wider cloud rollout for enterprise AI workloads.
Direct answers to the AI-hardware questions people actually ask: RTX 5080 vs 5090, CUDA vs ROCm, running LLMs locally, VRAM needs, Chinese models, best AI laptops and image generators.
The full Ollama models list for 2026 — every popular model with parameters, download size and RAM/VRAM needs, plus how to list and pull models.
WIRED reports that Cursor’s role inside SpaceX is testing whether a single coding platform can keep hosting rival OpenAI and Anthropic models as enterprise AI stacks harden.
The best AI phones in 2026 — iPhone with Apple Intelligence, Pixel with Gemini Nano and Galaxy AI — and the NPU, RAM and on-device specs that actually decide it.
The best AI laptops in 2026 compared: MacBook Pro M4 Max for local LLMs, Copilot+ PCs for on-device AI, and RTX laptops for training — with the specs that actually matter.
Reuters reports a new low-cost Chinese AI model is closing the gap with Anthropic and OpenAI inside the United States, intensifying pressure on domestic labs already navigating a bumpier IPO path and rising rivalry.
The best GPUs for AI in 2026 compared: RTX 5090, 5080, 5070 Ti, RTX 4090, H100, H200, Mac Studio and AMD — specs, prices, VRAM and price-to-performance.
DeepSeek V4 explained: V4-Pro vs V4-Flash, pricing, benchmarks, and how to use it via app, API, or locally. Near-frontier AI quality at a fraction of the cost.
