Copilots.in
Dell GB10 India, GB10 Openclaw AI Workstation
Copilots.in launched on May 13, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
A Quick Glimpse at the Hardware:- The GB10 mashes together Nvidia's high-end Grace CPU and the Blackwell GPU architecture all on a single board, held together by NVLink-C2C. The secret sauce is the high-bandwidth link between the CPU and GPU - it's what gets rid of that pesky bottleneck most teams have when they try to train or fine-tune those big models on some conventional server. In a nutshell, you're getting top-notch AI compute that used to need an entire row of equipment. Thankfully,
DPDP compliant AI infrastructure for enterprises. Dell GB10 AI Lab with 200B+ parameters. 60-70% cost savings vs cloud. 90-day deployment.
Does a similar job
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Hi HN, YC w24 company here. We just pivoted from drone delivery to build gpudeploy.com, a website that routes on-demand traffic for GPU instances to idle compute resources. The experience is similar to lambda labs, which we’ve really enjoyed for training our robotics models, but their GPUs are never available for on-demand. We are also trying to make it more no-nonsense (no hidden fees, no H100 behind “contact sales”, etc.). The tech to make this work is actually kind of nifty, we may do an in-depth HN post on that soon. Right now, we have H100s, a few RTX 4090s and a GTX 1080 Ti online.…
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Source: Product Hunt launch ↗
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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