אנבידיה
Cluster traffic bucket: 2 тыс.+ · Oct 3, 2026
Official source monitor
Follow official updates, independent coverage and dated attention signals. Full originals open after free sign-up and an external-link warning.
Observation window
30 days
Published by official sources. Dates are shown in UTC.
Updated Oct 9, 2026, 01:42 PM UTC
Official updates
22
Published in this view
Companies publishing
1
Distinct companies in this window
Days with activity
13
Days with at least one update
Independent stories
3
3 verified US tech publishers
Cross-company mentions
0
Independent stories associated with another company
Open prediction markets
1
Separate from hiring rankings
The infographic
Publication cadence
Daily publication dates in UTC. Bars count posts; the line counts distinct companies.
| Date UTC | Updates | Companies |
|---|---|---|
| 2026-09-10 | 0 | 0 |
| 2026-09-11 | 0 | 0 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 0 | 0 |
| 2026-09-14 | 0 | 0 |
| 2026-09-15 | 0 | 0 |
| 2026-09-16 | 1 | 1 |
| 2026-09-17 | 1 | 1 |
| 2026-09-18 | 0 | 0 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 0 | 0 |
| 2026-09-21 | 5 | 1 |
| 2026-09-22 | 1 | 1 |
| 2026-09-23 | 2 | 1 |
| 2026-09-24 | 2 | 1 |
| 2026-09-25 | 0 | 0 |
| 2026-09-26 | 0 | 0 |
| 2026-09-27 | 0 | 0 |
| 2026-09-28 | 0 | 0 |
| 2026-09-29 | 0 | 0 |
| 2026-09-30 | 2 | 1 |
| 2026-10-01 | 3 | 1 |
| 2026-10-02 | 1 | 1 |
| 2026-10-03 | 0 | 0 |
| 2026-10-04 | 0 | 0 |
| 2026-10-05 | 1 | 1 |
| 2026-10-06 | 1 | 1 |
| 2026-10-07 | 1 | 1 |
| 2026-10-08 | 1 | 1 |
| 2026-10-09 | 0 | 0 |
Source breadth
Official updates from the most active companies in this view.
| Company | Updates |
|---|---|
| NVIDIA | 22 |
Coverage map
One story may mention several companies. Bars follow its publication date and count it once in this view.
| Date UTC | Official posts | Independent stories |
|---|---|---|
| 2026-09-10 | 0 | 0 |
| 2026-09-11 | 0 | 0 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 0 | 0 |
| 2026-09-14 | 0 | 0 |
| 2026-09-15 | 0 | 0 |
| 2026-09-16 | 1 | 0 |
| 2026-09-17 | 1 | 0 |
| 2026-09-18 | 0 | 0 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 0 | 0 |
| 2026-09-21 | 5 | 0 |
| 2026-09-22 | 1 | 0 |
| 2026-09-23 | 2 | 0 |
| 2026-09-24 | 2 | 0 |
| 2026-09-25 | 0 | 0 |
| 2026-09-26 | 0 | 0 |
| 2026-09-27 | 0 | 0 |
| 2026-09-28 | 0 | 0 |
| 2026-09-29 | 0 | 0 |
| 2026-09-30 | 2 | 0 |
| 2026-10-01 | 3 | 0 |
| 2026-10-02 | 1 | 0 |
| 2026-10-03 | 0 | 0 |
| 2026-10-04 | 0 | 0 |
| 2026-10-05 | 1 | 0 |
| 2026-10-06 | 1 | 0 |
| 2026-10-07 | 1 | 2 |
| 2026-10-08 | 1 | 1 |
| 2026-10-09 | 0 | 0 |
Listed-company context
Stock series is indexed to 100 at its first available point. Open roles are ApplyDjinn observations; the lines have different units and do not imply causation.
| Date | Stock index | Observed roles |
|---|---|---|
| 2026-09-03 | 100.0 | 898 |
| 2026-09-04 | 100.8 | 902 |
| 2026-09-05 | 100.8 | 948 |
| 2026-09-06 | 100.8 | 1041 |
| 2026-09-08 | 98.8 | |
| 2026-09-09 | 97.9 | |
| 2026-09-10 | 95.6 | 942 |
| 2026-09-11 | 95.6 | 1047 |
| 2026-09-12 | 95.6 | 1024 |
| 2026-09-13 | 95.6 | 1170 |
| 2026-09-14 | 92.3 | 1178 |
| 2026-09-15 | 92.9 | 1180 |
| 2026-09-16 | 93.6 | 1084 |
| 2026-09-17 | 96.0 | 1217 |
| 2026-09-18 | 97.3 | 1174 |
| 2026-09-19 | 97.3 | 1142 |
| 2026-09-20 | 97.3 | 1037 |
| 2026-09-21 | 99.5 | 1157 |
| 2026-09-22 | 100.2 | 1157 |
| 2026-09-23 | 98.7 | 1151 |
| 2026-09-24 | 98.3 | 1093 |
| 2026-09-25 | 98.5 | 1035 |
| 2026-09-26 | 98.3 | 989 |
| 2026-09-27 | 98.5 | 981 |
| 2026-09-28 | 100.2 | 1010 |
| 2026-09-29 | 99.5 | 1039 |
| 2026-09-30 | 100.0 | 1003 |
| 2026-10-01 | 101.1 | 1027 |
| 2026-10-02 | 102.4 | 1036 |
| 2026-10-03 | 101.1 | 1011 |
| 2026-10-04 | 102.4 | 895 |
| 2026-10-05 | 104.6 | 1004 |
| 2026-10-06 | 104.7 | 1002 |
| 2026-10-07 | 103.9 | 1005 |
| 2026-10-08 | 103.9 | 1017 |
Official charts count the selected company’s own feed; independent mentions include stories from other publishers. Charts cover only ingested sources, not all market news. Stock prices and prediction markets provide context; neither proves a hiring change nor affects the hiring ranking.
Seven-day attention radar
Google Trends shows a traffic bucket for a trending search cluster, not searches for this employer alone. Polymarket markets reflect their own question and trading activity. Neither is a hiring indicator.
Cluster traffic bucket: 2 тыс.+ · Oct 3, 2026
Data source: Google Trends and Polymarket. Only exact company-name matches are shown; ambiguous names are excluded.
Chronological feed
30 stories · page 2 of 2
blogs.nvidia.com
A warped Manhattan is waiting in the cloud this week. Remedy Entertainment’s CONTROL Resonant brings Dylan Faden’s extraordinary abilities and a paranatural crisis to GeForce NOW at launch. With the release comes the final days of the CONTROL Resonant Ultimate Membership Bundle. Purchase a 12-month GeForce NOW Ultimate membership through Sunday, Sept. 27, an
blogs.nvidia.com
When Sakeena Fiza describes her work as a validation engineer at NVIDIA, she does so in terms more befitting a detective story than a world-class engineering lab. “Validation engineers look in the shadows and shine a light into every corner,” Fiza said. “Every time we get a system, our first thought is: how can it […]
blogs.nvidia.com
NVIDIA AI Day Singapore, which takes place Sept. 22-23 at the Raffles City Convention Centre, is offering attendees opportunities to explore the hands-on training, expert-led sessions and advanced tools to accelerate their work in AI and high-performance computing. At the event, NVIDIA and its partners are showcasing breakthrough AI advancements across the S
blogs.nvidia.com
To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open framework is a project from Open Robotics that helps humans build robots. NVIDIA Isaac ROS 5.0 — a collection of GPU-accelerated packages built on ROS, released today at […]
blogs.nvidia.com
Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builders can deploy. Choosing products that fit the complete factory design helps builders turn computing capacity into useful AI output. To help builders make those decisions, NVIDIA is
blogs.nvidia.com
Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared wi
blogs.nvidia.com
Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups and enterprises — building applications across industries. The event included a keynote from Paolo Guglielmini, vice president of EMEA at NVIDIA. Ahmed Mostafa, re
blogs.nvidia.com
AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. Technology Changes, Security Fundamentals Endure The internet and
blogs.nvidia.com
Clean energy isn’t hard to come by, but the pace of large-scale adoption has historically been slow due to bottlenecks — including out-of-date infrastructure, elongated research and development timelines, and upfront cost barriers. At New York Climate Week, NVIDIA is highlighting five companies pioneering clean energy projects with AI baked into their founda
blogs.nvidia.com
A new creature-catching adventure is ready to stream from the cloud this week. Pawprint Studio’s Aniimo arrives on GeForce NOW at launch, inviting gamers to explore the vibrant continent of Idyll across supported devices. Also this week, 007 First Light receives a path-tracing update on GeForce NOW, alongside a smashing limited-time Deluxe Edition sale on [&
blogs.nvidia.com
System performance, efficient infrastructure scaling and continuous software optimization are key levers that determine AI inference economics. Higher system performance means more tokens generated, resulting in higher revenue. Efficient scaling means throughput grows proportionally as hardware gets added, requiring fewer resources to serve users at scale. C
together.ai
We ported ThunderKittens to NVIDIA's Vera Rubin NVL72 and rebuilt our NVFP4 GEMM around the new hardware, taking it from 42% of roofline to over 22 PFLOPS — competitive with cuBLAS and CuTe DSL. Here is what changed in the ISA and how we used it.
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