TensorWave的动态

Observability to gain actionable insights, and AI/ML to automate responses based on carefully constructed playbooks - doing more and spending less!

Attending / participating in GAI Summit (highly recommend). Based on my Gemini Ultra testing so far, it's at least par quality with GPT4 ...a bit too early to make prescriptive "its better!" judgements but it's sure as hell not worse *and* its' 5-10x faster to respond than GPT4. The big differentiator here is Google's TPU ASICs, with TPU v5p being a 2-3x increase over the previous model. 4-5TB per chip. with FIOS comms. Scales well with 8-12x parameter increase per year in LLMs for the last 5+ years. It's also being released with its' own hardware and software ecosystem. Likely better than NVSwitch and NVidia's general purpose supercomputers. https://lnkd.in/dH8DkZci

How do you make a Smart electrical socket smarter ? Well, by adding Edge AI to it of course. Here is an OSHWA certified hardware to achieve the same - https://lnkd.in/e8V98-ws Read the full story here - https://lnkd.in/eFiYEPDf

Chronos has been added to AutoGluon-TS, the best AutoML forecasting library. In the meantime, check this comprehensive tutorial on how to use AutoGluon-TS in forecasting applications: https://lnkd.in/dq9Psz5U

Want to know how to select an observability platform? Our simple guide is here to help.

Just finished the course “Learning Vagrant” by David Swersky! Check it out: https://lnkd.in/duJ_jAVm #vagrant.

Have you already watched our #BrainfoodTalk about Service Mesh with José Manuel Molero, PhD? Check out his talk available on Youtube to get valuable insights on performance, security, and observability! Join our cloud infrastructure expert, José, as he demystifies its complexities and explores its pivotal role in Kubernetes and cloud-native applications. ???? #ServiceMesh #CloudNative #Kubernetes #TechCommunity #Youtube

Reducing Network Latency and Improving Read Performance With Cockroach Labs and PolyScale.ai - https://lnkd.in/epX43mbs

Traditionally, service calls have to cross a network boundary, introducing latency and wasting CPU on encoding and decoding. In Unison Cloud, we can "bring the service code to the caller", eliminating all that and making service calls almost as efficient as a local function call! This means the Unison Cloud service graph is adaptive, reconfiguring itself to dynamically colocate services that are communicating regularly. This reduces latency, I/O, and CPU and spent on encoding/decoding logic.

Akash Network: it’s a revolution in how we compute https://lnkd.in/d4GE9YZu