Hacker News: cheptsov

New comment by cheptsov in "Show HN: Skill that lets Claude Code/Codex spin up VMs and GPUs"

cheptsov — Fri, 13 Feb 2026 21:26:15 +0000

Nice, we build something similar at dstack

We recently also added support for agents: https://skills.sh/dstackai/dstack/dstack

Our approach though is more tide-case agnostic and in the direction of brining full-fledged container orchestration converting from development to training and inference

New comment by cheptsov in "Agentic Development Environment by JetBrains"

cheptsov — Wed, 03 Dec 2025 22:02:44 +0000

Finally a step in the right direction. This brings the best of two worlds: the lightweightness of Fleet and agents battle-tested with Junie/IntelliJ.

Congrats to the team. Can’t wait to try it.

New comment by cheptsov in "Simulating hand-drawn motion with SVG filters"

cheptsov — Mon, 21 Jul 2025 16:03:06 +0000

Looks very cool but my iPhone got really hot after just playing with it for one minute!

Benchmarking AMD GPUs: bare-metal, containers, partitions

cheptsov — Tue, 15 Jul 2025 18:31:35 +0000

Article URL: https://dstack.ai/blog/benchmark-amd-containers-and-partitions/

Comments URL: https://news.ycombinator.com/item?id=44574378

Points: 4

# Comments: 1

New comment by cheptsov in "TPU Deep Dive"

cheptsov — Sun, 22 Jun 2025 14:32:06 +0000

It’s so ridiculous to see TPUs being compared to NVIDIA GPUs. IMO proprietary chips such as TPU had no future sure to the monopoly on the cloud services. There is no competition across the cloud services providers. The only way to access TPUs is through GCP. As the result nobody wants to use them regardless of the technology. This is the biggest fault of GCP. Further the road, the gap between NVIDIA GPUs and Google TPUs (call it „moat“ or CUDA) is going to grow.

The opposite situation is with AMD which are avoiding the mistakes of Google.

My hope though is that AMD doesn’t start to compete with cloud service providers, e.g. by introducing their own cloud.

New comment by cheptsov in "Show HN: AIButton – Like AI Pin – but only one button to press, Made in Germany"

cheptsov — Sun, 15 Jun 2025 15:03:04 +0000

Wow, such a cool idea! Where can I read more about the product, the release ETA, price, etc?

Partnership Between XAI and Telegram

cheptsov — Thu, 29 May 2025 19:54:07 +0000

Article URL: https://twitter.com/durov/status/1927705717626003759

Comments URL: https://news.ycombinator.com/item?id=44129665

Points: 4

# Comments: 1

Aleph Alpha and STACKIT have partnered to deliver PhariaAI-as-a-Service

cheptsov — Tue, 27 May 2025 17:38:04 +0000

Article URL: https://aleph-alpha.com/press/aleph-alpha-partners-with-stackit-to-deliver-sovereign-enterprise-ai-at-scale-with-pharia-ai-as-a-service/

Comments URL: https://news.ycombinator.com/item?id=44109052

Points: 1

# Comments: 0

OpenAI is reportedly in talks to buy Windsurf for $3B

cheptsov — Thu, 17 Apr 2025 05:30:16 +0000

Article URL: https://techcrunch.com/2025/04/16/openai-is-reportedly-in-talks-to-buy-codeium-for-3b-with-news-expected-later-this-week/

Comments URL: https://news.ycombinator.com/item?id=43713395

Points: 4

# Comments: 1

New comment by cheptsov in "Ironwood: The first Google TPU for the age of inference"

cheptsov — Wed, 09 Apr 2025 17:54:27 +0000

Yea, makes sense

New comment by cheptsov in "Ironwood: The first Google TPU for the age of inference"

cheptsov — Wed, 09 Apr 2025 15:04:44 +0000

I believe my original sentence was accurate. I was expecting the article to provide an objective comparison between TPUs and their main competitors. If you’re suggesting that El Capitan is the primary competitor, I’m not sure I agree, but I appreciate the perspective. Perhaps I was looking for other competitors, which is why I didn’t really pay attention to El Capitan.

New comment by cheptsov in "Ironwood: The first Google TPU for the age of inference"

cheptsov — Wed, 09 Apr 2025 14:28:01 +0000

Are you suggesting NVIDIA is not a competitor?

New comment by cheptsov in "Ironwood: The first Google TPU for the age of inference"

cheptsov — Wed, 09 Apr 2025 14:16:52 +0000

I think it’s not misleading, but rather very clear that there are problems. v7 is compared to v5e. Also, notice that it’s not compared to competitors, and the price isn’t mentioned. Finally, I think the much bigger issue with TPU is the software and developer experience. Without improvements there, there’s close to zero chance that anyone besides a few companies will use TPU. It’s barely viable if the trend continues.

New comment by cheptsov in "The Llama 4 herd"

cheptsov — Sat, 05 Apr 2025 19:42:17 +0000

https://www.llama.com/llama4-reasoning-is-coming/

X Is Down

cheptsov — Mon, 10 Mar 2025 16:41:59 +0000

Article URL: https://downdetector.com/status/twitter/

Comments URL: https://news.ycombinator.com/item?id=43322371

Points: 33

# Comments: 23

New comment by cheptsov in "Nomadic infrastructure design for AI workloads"

cheptsov — Mon, 03 Mar 2025 21:57:08 +0000

A nice project—I hadn’t seen it before. I’m working on a similar concept but as an open-source project [1].

We see it as an alternative to K8s/Slurm and would be interested in hearing thoughts from other ML engineers.

[1] https://github.com/dstackai/dstack

Show HN: Orchestrating GPUs in data centers and private clouds

cheptsov — Thu, 20 Feb 2025 23:42:26 +0000

Article URL: https://dstack.ai/blog/data-centers-and-private-clouds/

Comments URL: https://news.ycombinator.com/item?id=43122046

Points: 1

# Comments: 0

New comment by cheptsov in "Orchestrating GPUs in data centers and private clouds"

cheptsov — Tue, 18 Feb 2025 18:14:06 +0000

Thank you! Yup, dstack can also work over K8S too if required. But of course there are many advantages to use dstack’s native orchestrator.

New comment by cheptsov in "Orchestrating GPUs in data centers and private clouds"

cheptsov — Tue, 18 Feb 2025 17:32:46 +0000

Hey HN, founder of dstack here. We've been working on this over three months and pretty excited about this release. Basically, the main point is that dstack is an open-source AI-native alternative to Kubernetes, designed to be more lightweight, and focusing just on AI workloads on both cloud and data-centers. With this release we are adding the critical feature that allows to run containers concurrently on same host slicing its resources incl. GPU for a more cost-efficient utilization. Another new thing is the simplified way to run things on private clouds where clusters are often behind a login node. There are many more cool things on our roadmap to ensure dstack is a streamlined alternative to both K8S and Slurm. Our roadmap can be found in [1] Super excited to hear any feedback.

[1] https://github.com/dstackai/dstack/issues/2184

New comment by cheptsov in "Exploring inference memory saturation effect: H100 vs. MI300x"

cheptsov — Thu, 05 Dec 2024 18:36:29 +0000

In this one we were only using 3.1 405B FP8. We took one model to simplify the setup and were mostly looking at the memory saturation effect. So basically we compared inference metrics of the same model. I suppose comparing 3.1 and 3.2 will be difficult as they are different models entirely. But open to ideas