Nvidia is launching the first volley of RTX 50-series GPUs based on its new Blackwell architecture, starting with the RTX 5090 and working downward from there. The company also appears to be winding down support for a few of its older GPU architectures, according to these CUDA release notes spotted by Tom's Hardware.
Quantum computing stocks have seen quite a run-up in recent months, but determining which companies are leading the charge can be tough to navigate.
The flagship Nvidia GeForce RTX 5090, widely thought to be a Titan due to its incredible specs, is priced at $1,999 / £1,999 / AU$4,039 — while steep, it’s not too far off from the original $1,599 price tag of the RTX 4090. This is especially promising since the rumors all pointed to a price nearly double what it ended up being.
Nvidia's multi frame gen on the GeForce RTX 5090 GPU can produce framerates above 300 FPS, though that doesn't mean you need a $2,000 card.
One analyst says Alphabet has great chips, but doesn’t seem to be doing enough to pursue the massive market opportunity in AI hardware.
If the stock is unable to hold that critical $130 price, a new phase of short-term trading patterns will begin, taking NVIDIA to a target price of $120. That would also form a short-term bearish pattern of lower highs and lower lows for NVIDIA stock.
Nvidia's new focus on physical AI and robotics has crucial implications for industrial automation systems. With this shift, we’re seeing the rise of robotic enterprises.
Looking for the next big thing in AI and tech stocks? Check out why one supporting player might be a better pick than the usual household name.
Nvidia Corporation's leadership in AI, strong financial performance, and compelling valuation make it a buy. Click for my NVDA stock update.
Artificial intelligence (AI) is expected to impact the global economy in a big way in the long run, with market research firm IDC estimating that every dollar spent on AI-related business solutions and services will generate $4.
Nvidia (NASDAQ: NVDA) should get a boost from the announced $500 billion investment in building artificial intelligence capabilities in the United States. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now.