Brian Phan

🚀 Join us on May 8 in Sunnyvale for some amazing talks and networking with other data infra nerds.  ▶ Richard Artoul (WarpStream) - Beyond Tiered Storage: Zero Disk Architectures for Kafka ▶ Yingjun Wu (RisingWave) - S3 as the State Store for Stream Processing Systems ▶ Yang Yang (Uber) and Zhifeng Chen (Uber) - Real-time message delivery with Uforwarder ▶ Matthew Penaroza (PingCAP) - How to choose a database: an overview of major Databases 🎟 Save your spot here: https://lnkd.in/gTAWSyHY #risingwave #streamprocessing #datainfra #dataprocessing

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Good insight on memory market.

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Read the blog to discover how Livex AI leveraged NVIDIA AI and GKE infrastructure to build #generativeAI agents that provide real-time, human-like customer experiences. ✨➡️ #AI #retail https://bit.ly/3Wn4LWD

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DVA is not associated with this job posting Principal Engineer, Google Production Platform Solutions https://lnkd.in/gPZdFxep About the job Today, server developers at Google entrust the production platform organization with their most critical workloads – from the internal compute, networking, and storage infrastructure to flagship Google products with billions of users. As the Principal Engineer, you will lead the technical strategy of the software engineering organization that delivers foundational Google Production Platform Solutions for continuous delivery, observability, debugging, monitoring, and incident management stages in the service lifecycle. In this role, you will create and drive a holistic strategy for industry and tooling integrations across Production Platform products balancing reliability, risk reduction, safety, compliance, development velocity, and platform benefits with the speed of innovation, ultimately delivering an exceptional experience to Googlers. You will lead the Technical Lead community with a focus on end-to-end platform Critical User Journeys (CUJs), developing technical criteria, guidance, and processes to drive the API-first culture, open to integrations with industry solutions. You will define technical best practices, design patterns, and systemic platform features to enable and drive build vs buy decision-making. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. #recruiter #jobshiring #jobfair #business #jobhiring #jobopportunities #joboffer #jobvacancies #education #joinourteam #wearehiring #joblisting #bhfyp #employmentopportunities #jobseeking #opportunity #jobopenings #jobsite #jobless #werehiring #cv #cfbr #entrepreneurship #excutiveassistant

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Anyscale's own Sam Chan and Cindy Zhang delve into the technical nuances of multi-application serve architectures with diverse dependencies. Discover how different containers can now be deployed on the same serving cluster in this week’s Ray Spotlight interview: https://lnkd.in/gfv6QZwD

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The wasmcloud-operator allows #K8s fans access to wasmCloud in their own clusters, deployed with their favorite tools. On Cloud Native Computing Foundation (CNCF) #CNL Dan Norris and Taylor Thomas demo the wasmcloud-operator to integrate #Wasm into #K8s using #Rust, Endpoint Slices, API aggregation + more! Take a look... https://lnkd.in/e-Qx8cta

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Discover the optimal methods for deploying LoRA-tuned adapters with the Llama 3 NIM to maximize performance across various languages. Read more for developer insights > https://nvda.ws/4bGc01j

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Discover the breakthrough in cloud-native databases with "PolarDB-MP: A Multi-Primary Cloud-Native Database via Disaggregated Shared Memory," awarded Best Paper in the Industry Track at SIGMOD2024. Watch more: https://lnkd.in/gurfn_MY

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'Blue Screen of Death' Comes To Linux: In 2016, Phoronix remembered how the early days of Linux kernel mode-setting (KMS) had brought hopes for improved error messages. And one long-awaited feature was errors messages for "Direct Rendering Manager" (or DRM) drivers — something analgous to the "Blue Screen of Death" Windows gives for critical errors. Now Linux 6.10 is introducing a new DRM panic handler infrastructure enabling messages when a panic occurs, Phoronix reports today. "This is especially important for those building a kernel without VT/FBCON support where otherwise viewing the kernel panic message isn't otherwise easily available." With Linux 6.10 the initial DRM Panic code has landed as well as wiring up the DRM/KMS driver support for the SimpleDRM, MGAG200, IMX, and AST drivers. There is work underway on extending DRM Panic support to other drivers that we'll likely see over the coming kernel cycles for more widespread support... On Linux 6.10+ with platforms having the DRM Panic driver support, this "Blue Screen of Death" functionality can be tested via a route such as echo c > /proc/sysrq-trigger. The article links to a picture shared on Mastodon by Red Hat engineer Javier Martinez Canillas of the error message being generated on a BeaglePlay single board computer. Phoronix also points out that some operating systems have even considered QR codes for kernel error messages... Read more of this story at Slashdot.

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Chinese GPU maker Moore Threads' MTLink fabric tech challenges Nvidia's NVLink, can now scale to 10,000 GPUs for AI clusters and 1280000 Tensor cores. More GPUs, more performance. Moore Threads has upgraded its KUAE data center server for AI, enabling connecting up to 10,000 GPUs in a single cluster. The KUAE data center servers integrate eight MTT S4000 GPUs interconnected using the proprietary MTLink technology designed specifically for training and running large language models (LLMs). These GPUs are based on the MUSA architecture and feature 128 tensor cores and 48 GB GDDR6 memory with 768 GB/s of bandwidth. A 10,000-GPU cluster wields 1,280,000 tensor cores, but the actual performance is unknown as performance scaling depends on numerous factors. Moore Threads recently completed a financing round, raising up to 2.5 billion yuan (approximately US$343.7 million). This influx of funds is expected to support its ambitious expansion plans and technology advancements. However, without access to advanced process technologies offered by TSMC, Intel Foundry, and Samsung Foundry, the firm faces numerous challenges on the path to developing next-gen GPUs.

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