News

NVIDIA Announces New Flagship RTX 4090 & RTX 4080 GPUs

The powerful new graphics cards will feature NVIDIA’s new architecture, with the flagship RTX 4090 sporting 24GB of RAM.

Published

4 years ago

September 21, 2022

Nour Nasir

NVIDIA

Yesterday, NVIDIA announced its latest RTX 40-series graphics cards, the GeForce RTX 4090 and RTX 4080. Rumors have been circulating for months about the release of the flagship GPUs, which feature NVIDIA’s new “Ada Lovelace” architecture, named after the mathematician who worked on Charles Babbage’s early computer, named the Analytical Engine.

History lessons aside, the new cards use the third-generation DLSS, with the RTX 4090 packed with 24GB of G6X RAM, which NVIDIA claims will make it two to four times faster than the outgoing RTX 3090 Ti — though you’ll have to pay $1,599 to experience the flagship’s raw power when it launches on October 12th.

The RTX 4080 was announced simultaneously, with two separate memory configurations of 12GB and 16GB. The RTX 4080 is also claimed to be two to four times faster than the outgoing RTX 3080 Ti model. No release date has been given for the RTX 4080 GPUs, though NVIDIA says the cards will be released in November, with a retail price of $899 for the 12GB model and $1,199 for the 16GB variant.

nvidia ada lovelace

The RTX launch also showed off NVIDIA’s Founders Edition graphics cards, which are limited edition in-house models released before hardware partners such as Asus, Colorful, Gainward, Galaxy, Gigabyte, INNO3D, MSI, Palit, PNY, and Zotac use the technology in their own models.

“For our new GeForce RTX 40 Series Founders Edition graphics cards, we’ve further optimized the Dual Axial Flow Through system, increasing fan sizes and fin volume by 10%, and upgrading to a 23-phase power supply. Memory temperatures are reduced, and the new, substantially more powerful Ada GPUs are kept cool in ventilated cases, giving gamers excellent overclocking headroom,” says Andrew Burnes, technical marketer at NVIDIA.

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Although the 40-series cards are now official and about to launch, RTX 30-series GPUs are likely to be around for some time. Earlier this year, NVIDIA was forced to adjust pricing on many of its cards due to excess stock, leading to RTX 30-series cards appearing at their correct retail prices, despite several years of price hikes by traders.

The launch of RTX 40-series GPUs comes at a tough time for NVIDIA and the graphics card market in general. Demand has fallen since the recent crypto crash, and the Ethereum merge. Combine this with soaring electricity prices, and the future looks uncertain for the market as a whole, despite the considerable power boost that cards like the RTX 4090 promise.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

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“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.