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Venice Adds Private Access to Moonshot's Kimi K3 With US Hosting and Zero Data Retention

aiai-infrastructureai-inference-platformsai-modelingai-open-modelsai-products 178 posts · 96 accounts

Venice said it has added private access to Moonshot's Kimi K3. Erik Voorhees said the service runs from a US data center with zero-data retention.

Voorhees said Kimi K3, an open model trained by Moonshot, can be run by providers other than Moonshot, so users accessing it through Venice are not using Moonshot's infrastructure. He also said Moonshot's own service applies a separate company filter to some queries and that Venice does not add that layer.

From the sources (25 posts)

@modal

Kimi K3 drops tomorrow. Day 0 support on Modal.

@teortaxestex

meanwhile time in China: 00:32 Monday, July 27, 2026 Strictly under 24 hours until an open frontier model

@kimmonismus

Quick reminder on Kimi k3 open weights

@aaazzam

RT @modal: Kimi K3 drops tomorrow. Day 0 support on Modal.

@togethercompute

Kimi K3 lands on Together tomorrow. Available on Provisioned Throughput: reserved token-based capacity that just works: 1/ Guaranteed tok/min

@business

Moonshot AI is poised to make its Kimi K3 model available for public download, expanding its reach in the global open software community at a time of growing US concern about Chinese encroachment into the top echelons of AI development http

@cointelegraph

🇨🇳 JUST IN: China's Moonshot AI is set to release its Kimi K3 model weights for free public download, widening its reach in the open-source AI race against US rivals.

@brianroemmele

Local Kimi K-3 download day in just a few hours! I have 16 very large US companies ready to download and run it of Hopper class GPUs. All but two have staff on night watch to get it done. There is a hidden Anthropic Easter Egg on the site

@business

Moonshot AI is poised to make its Kimi K3 model available for public download, expanding its reach and influence in the global open software community at a time of growing US concern about Chinese encroachment into the top echelons of AI de

@nrehiew_

Happy K3 weights and paper release day for all who celebrate

@jun_song

8 hours left for Kimi-K3 weight release. Where could I get another 2TB of VRAM in 8 hours? All the assets I have left are just two kidneys

@teknium

K3 will be open sourced in 8 hours. Woot!

@kimi_moonshot

Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of com

@wesroth

Kimi K3’s full model weights will be released by July 27, 2026. Architecture details, training methods, and evaluation results will follow in the technical report.

@rgb_lights

Careful with AI model performance claims at launch. First reports are usually wrong. “Kimi K3 performs significantly below the most recent frontier cyber-capable models on preliminary cyber evaluationsrun by UK AISI / CAISI.” https://t.c

@teortaxestex

European* excellence. Kimi K3 is live on eu-north1 at Nebius. And yes of course fp4. Same cost, 3-4 times faster. *formerly Yandex

@kimi_moonshot

Kimi K3 (open weights, coming soon)

@lentils80

🚨 Kimi K3 is now finally open source and weights are out on Hugging Face!

@scaling01

Kimi K3 is now officially open-weights

@baseten

Kimi K3 is now live on our Model APIs, day 0.

@baseten

We’re thrilled to be day 0 launch partners with the @Kimi_Moonshot team. Try it now:

@andrewcurran_

K3 weights and technical report have been released.

@crystalsssup

RT @Kimi_Moonshot: Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with n…

@victormustar

RT @Kimi_Moonshot: Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with n…

@kimmonismus

Moonshot delivered: model weights and technical report of K3 are now live!

Preview built on a synthetic news corpus (16 weeks, Apr–Jul 2026). Impact calls are model reads, not price data.

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