Verda

@verdacloud

Frontier AI Cloud Infrastructure designed for AI Builders discord.com/invite/FP7Z2t6…

Helsinki, Finland

verda.com

Joined July 2020

131 Following

1,146 Followers

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Verda
@verdacloud
Sep 22
Today we are announcing $189M in new funding and becoming Europe’s latest unicorn. This funding accelerates what we’ve been doing from day 0: Building the most reliable and performant AI infrastructure for our customers. Read more in the thread 🧵
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Verda
@verdacloud
Oct 5
Congratulations to @IlhanScheer and @Aleph__Alpha on Kolibri. 78B params, 3.46B active, up to 1M tokens of context, open weights. Trained by Aleph Alpha on Verda in Europe. We ran the clusters, built the k8s stack, and contributed to their training efficiency work:
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Verda
@verdacloud
Oct 1
What does an additional $189M unlock for Verda customers? More capacity is part of it. But scaling an AI cloud means much more than adding GPUs. Here's what we're building next 🧵
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Verda
@verdacloud
Sep 28
We’ve been working with the @vllm_project team to accelerate open-source AI. Thanks to the new DSpark trained on Verda’s GB300 NVL72, Kimi K3 just got ~4x faster in vLLM: ~110 to ~435 tok/s per user on math reasoning. Full technical report: vllm.ai/blog/2026-09-1…
Red Hat AI
@RedHat_AI
Sep 17
Kimi K3 is a 2.8T-parameter model. We trained a DSpark speculator for it, and the speedup holds up. Single-stream math reasoning goes from ~110 to ~435 tokens/sec per user. Under concurrent load, up to ~3.5x higher output throughput at matched interactivity. The drafter is a 5B
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Verda
@verdacloud
Sep 16
We’re proud to have supported the researchers at ISTA-DASLab with compute resources for their GSQ-RCO quantizations of @Alibaba_Qwen 3.8-27B. The release reduces the model from 53.8 GB to 11.8 GB while retaining 99.8% of the BF16 model’s reported benchmark performance.
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