GPUSprint

What it does

Advanced monitoring and control for multi-cloud accelerators, including NVIDIA, AMD, Tenstorrent, Google TPUs, and AWS chips. Deploy a single DaemonSet to Kubernetes clusters and understand how effectively your research teams are using accelerators and how many resources they consume.

Advanced monitoring and control for multi-cloud accelerators including NVIDIA, AMD, Tenstorrent, Google TPUs, and AWS chips.

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  Tune LLaMa3.1 on Google Cloud TPUs2024 · github.com · ▲189

  Hey HN, we wanted to share our repo where we fine-tuned Llama 3.1 on Google TPUs. We’re building AI infra to fine-tune and serve LLMs on non-NVIDIA GPUs (TPUs, Trainium, AMD GPUs). The problem: Right now, 90% of LLM workloads run on NVIDIA GPUs, but there are equally powerful and more cost-effective alternatives out there. For example, training and serving Llama 3.1 on Google TPUs is about 30% cheaper than NVIDIA GPUs. But developer tooling for non-NVIDIA chipsets is lacking. We felt this pain ourselves. We initially tried using PyTorch XLA to train Llama 3.1 on TPUs, but it was rough: xla…

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  Software for Remote GPU-over-IP2022 · github.com · ▲138

  We built installable software for Windows & Linux that makes any remote Nvidia GPU accessible to, and shareable across, any number of remote clients running local applications, all over standard networking.

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  Tensorflow Research Cloud2017 · sites.research.google · ▲288

  Accelerating open machine learning research with Cloud TPUs

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  L9gpu – GPU telemetry that ties each GPU to the K8s pod or Slurm jobJul 2026 · github.com · ▲20

  GPU Observability with workload attribution. One OTLP agent per node ties hardware metrics (NVIDIA, AMD, Intel Gaudi) to the K8s pod or Slurm job burning the GPU. - last9/gpu-telemetry

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  Utilyze – an open source GPU monitoring tool more accurate than nvtopApr 2026 · systalyze.com · ▲128

  The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of its compute capacity is actually being used. In practice, we've seen workloads with ~1–10% real compute throughput while dashboards show 100%. This becomes a problem when teams rely on that metric for capacity planning or optimization decisions, it can make underutilized systems…

• TC
  TensorDock Core GPU Cloud – GPU servers from $0.29/hr2022 · tensordock.com · ▲147

  Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

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  /dev/null▲489

  a social network for devs

  Dev tools · 3d ago · dev-null.sh

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  Whiteboard (YC W26) – an open-source IDE for thoughtful software design▲423

  open-source IDE for thoughtful software design. Contribute to devdotfast/whiteboard development by creating an account on GitHub.

  Dev tools · 28d ago · github.com

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  Reladraw – A diagram language where you decide where to place things▲411

  Contribute to reladraw/reladraw development by creating an account on GitHub.

  Dev tools · 26d ago · github.com

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  OpenBot▲362

  Grok Bot alternative: free, local, open-source, multiplayer

  Dev tools · 23d ago · openbot.run

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  Talanoa▲346

  Hi HN, I’m a fullstack developer, and honestly, I’ve lost count of how many side projects I’ve worked on over the years. But one idea kept coming back to me: a different kind of email client. It first came to me in 2014: “What if we could handle emails more like conversations?” Every year, I’d revisit this concept in my “Build Notes.” Ten years later, no one had built exactly what I had in mind — so I finally decided to do it myself. That’s how Talanoa was born. I wanted something focused on people, not timelines. I was tired of marking messages as unread just to remember to reply later, or…

  Dev tools · 21d ago · talanoa.email

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  CoreSpeed▲332

  One MCP for everything your agents need: apps, memory, tools

  Dev tools · 29d ago · corespeed.io

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  Lightfield▲901

  AI-native CRM that builds itself and does work for you

  AI · Mar 2026 · lightfield.app

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  Tobira.ai▲728

  A network where AI agents find deals for their humans

  AI · Mar 2026 · tobira.ai

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  Claude Import Memory▲716

  Switch from ChatGPT to Claude with import memory feature

  AI · Mar 2026 · claude.com

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  Littlebird▲709

  Littlebird remembers everything across your meetings, messages, docs, and apps, then takes action so you can recall any detail and never lose context.

  AI · Mar 2026 · littlebird.ai

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  Viktor.com▲702

  Your AI Coworker that proactively executes tasks

  AI · Mar 2026 · viktor.com

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  Jupid▲659

  File your taxes with Claude Code

  Commerce · Mar 2026 · jupid.com