Golioth’s Post

Major update with AXIS Camera Station Pro

Nice to hear Christopher Bergey's insights on Arm's recent successes! "What we see is an AI enabled future, and AI computing happens on ARM." Check out this interview to learn more about ARM's vision for the future of computing: https://lnkd.in/eEAippsX If you're interested in how Endava is supporting ARM's transition to the cloud, you won't want to miss this: https://lnkd.in/e4WCjQmz. It could be the key to unlocking ARM's ability to iterate, grow, and deliver to customers with never-before-seen efficiency. MWC #mwc24 #mwc2024 #mwcbarcelona2024

No more writing down notes or being stuck without info. X-am 2800 uses Bluetooth to move your data to your phone, and then up to the cloud, so you can look at it whenever you need, from anywhere. 🔒 This means you're always a step ahead, keeping things safe and making smart choices fast. 🧪X-am 2800 can be used with different sensors to measure a large number of hazardous substances. Check which sensor fits into this detector by searching for a substance. 📞 Contact our experts to get more information 👉 http://t4.life/Pva #VisionZero #GasDetection #Xam2800

Now it has been decreed: Liquid refrigeration is the hot ticket. "Nvidia CEO Jensen Huang has confirmed that the next iteration of the company's DGX server family will be liquid cooled" published Data Center Dynamics on March 10th, 2024. "Google Cloud, Meta, and Microsoft are among those that have deployed DGX systems in their data centers. The Next Platform last year estimated that DGX machines represent 20 percent of Nvidia's data center revenues." (DCD) We are reaching the upper range in cooling methods indicated by Vertiv in the graph below.

🔎 EE Times | Electronic Engineering Times recently covered the Lattice Developers Conference and how the event dove deep on the top priority topics on FPGA developers’ minds: AI, sensor-to cloud connectivity, and system security. Read the full article to learn more about the key insights covered in #LatticeDevCon23 keynotes, breakout sessions, and demos: https://bit.ly/41OfJa2

And now, following up on my post from yesterday... here is the mandatory screenshot :). Running Google's Gemma locally on an iOS device (iPhone 14 Pro) at 22+ tok/s using MLC-LLM, and SLM (#ApacheTVM-based flow). Really fantastic collaboration between OctoAI, Carnegie Mellon University and the MLC community. Special kudos to Ruihang Lai, Junru Shao and team! Hardware portability for LLMs not only enables more efficient use of cloud resources, it also enables new use cases! Now chain that with larger LLMs running on OctoAI cloud and you have a magic cocktail ;). https://lnkd.in/gCjcw3Gn (Android in comment)

T-Mobile's Ultra Capacity 5G (5GUC) can provide download speeds of up to 10 gigabits per second (Gbps). This speed is ideal for large-scale data applications like cloud computing and virtual reality. 5GUC uses mid-band and/g mmWave 5G to balance fast speeds with wide coverage. Go ahead and check for the 5GUC icon on your Android or iPhone to see if you're in an area with the fastest speeds. If you don’t see this at the top, then you can now join the fastest and largest 5G network in the country.

See how telecom companies can design and test 5G and 6G networks using the NVIDIA Aerial Omniverse Digital Twin platform—now available in the NVIDIA 6G Research Cloud platform—for improved latency, reliability, capacity, and spectral efficiency. Watch the video. #telecom #5G #6G

See how telecom companies can design and test 5G and 6G networks using the NVIDIA Aerial Omniverse Digital Twin platform—now available in the NVIDIA 6G Research Cloud platform—for improved latency, reliability, capacity, and spectral efficiency. Watch the video. #telecom #5G #6G

See how telecom companies can design and test 5G and 6G networks using the NVIDIA Aerial Omniverse Digital Twin platform—now available in the NVIDIA 6G Research Cloud platform—for improved latency, reliability, capacity, and spectral efficiency. Watch the video. #telecom #5G #6G