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Kimi K2 Explained: The 1 Trillion Parameter Model Redefining How to Build Agents
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Alex Ker 1 other |
2025-08-05 |
748 |
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How we run GPT OSS 120B at 500+ tokens per second on NVIDIA GPUs
|
Amir Haghighat 4 others |
2025-08-07 |
938 |
247
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Zero to real-time text-to-speech: The complete Orpheus + WebSockets tutorial
|
Alex Ker |
2025-08-08 |
991 |
--
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Joey Zwicker joins Baseten as Head of FDE
|
Tuhin Srivastava |
2025-08-11 |
907 |
--
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From Prompt to Production: Baseten Inference in Your IDE with Cline
|
Alex Ker |
2025-08-13 |
568 |
--
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How to fine-tune gpt-oss-120b with Baseten and Axolotl
|
Sanskriti Sharma 2 others |
2025-08-19 |
1,083 |
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Welcoming Dannie Herzberg to Baseten
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Tuhin Srivastava |
2025-08-27 |
286 |
--
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HTTP vs. WebSockets vs. gRPC for AI model inference
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Madison Kanna |
2025-08-29 |
635 |
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How Baseten MCM, our cloud ecosystem partners, and NVIDIA drive fast, reliable inference at scale
|
Marylise Tauzia 2 others |
2025-09-03 |
583 |
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Announcing Baseten’s $150M Series D
|
Tuhin Srivastava |
2025-09-05 |
1,069 |
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Building the future of AI infrastructure: Q&A with Baseten Co-founder Amir Haghighat
|
Madison Kanna |
2025-09-16 |
1,268 |
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Making Zed fast: A conversation with Richard Feldman
|
Madison Kanna |
2025-09-24 |
1,183 |
--
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Delivering GenAI solutions for healthcare with Baseten and Vultr
|
Philip Kiely |
2025-10-02 |
823 |
--
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Baseten brings AI video to life on Nebius
|
Mike Bilodeau |
2025-10-06 |
867 |
--
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Building AI Agents, Open Code And Open Source: A Conversation with Dax
|
Madison Kanna |
2025-10-10 |
2,827 |
--
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From Sketch to 3D Model: Building a flower card generator with open source AI
|
Alex Ker |
2025-10-11 |
1,457 |
--
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How Baseten achieved 2x faster inference with NVIDIA Dynamo
|
Abu Qader 2 others |
2025-10-17 |
904 |
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DeepSeek-OCR and the Unreasonable Usefulness of Compression
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Alex Ker 1 other |
2025-10-24 |
988 |
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How we made the fastest GPT-OSS on NVIDIA GPUs 60% faster
|
Tri Dao 2 others |
2025-10-24 |
1,188 |
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High-performance agents for financial services with NVIDIA Nemotron on Baseten
|
Philip Kiely |
2025-10-28 |
871 |
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Train AI Models When You Want. Deploy on Ultra Performant Infrastructure. Baseten Training Is GA.
|
Raymond Cano 1 other |
2025-10-30 |
922 |
--
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Tool Calling in Inference
|
Kenzie Amack 1 other |
2025-11-06 |
2,368 |
--
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Kimi K2 Thinking at 140+ TPS on NVIDIA Blackwell
|
Abu Qader 2 others |
2025-11-12 |
1,520 |
--
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Enterprise vision intelligence with Mistral AI and Baseten
|
Philip Kiely |
2025-12-02 |
735 |
--
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DeepSeek V3.2's path to GPT-5-level performance: sparse attention, RL at scale, and context reuse
|
Alex Ker |
2025-12-05 |
1,298 |
--
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Parsed + Baseten: Building Models That Touch Grass
|
Mudith Jayasekara 3 others |
2025-12-11 |
1,482 |
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NVIDIA Nemotron 3 Nano: Build Agentic AI Applications on Baseten
|
Marylise Tauzia 1 other |
2025-12-16 |
708 |
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Baseten AI Wrapped: 3 trends to help you build better in 2026
|
Amir Haghighat 1 other |
2025-12-22 |
711 |
--
|
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A Q&A From Inference To Training: The Inside Story Of Baseten’s Newest Product
|
Madison Kanna |
2026-01-07 |
1,673 |
--
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Fine-tuning small open-source LLMs to outperform large closed-source models by 60% on specialized tasks
|
Marylise Tauzia 1 other |
2026-01-09 |
1,430 |
--
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Purpose-built LLMs for dental note-taking
|
Marylise Tauzia 1 other |
2026-01-09 |
1,980 |
--
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Building production AI for regulated industries with a leading digital insurer
|
Marylise Tauzia 1 other |
2026-01-09 |
2,145 |
--
|
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Production AI for non-technical knowledge workers: LangChain Agent Builder with GLM 4.7 on Baseten
|
Alex Ker |
2026-01-14 |
615 |
--
|
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The fastest Whisper — with streaming and diarization
|
Tianshu Cheng 4 others |
2026-01-19 |
935 |
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Wan 2.2 video generation in less than 60 seconds
|
Mahmoud Hassan 1 other |
2026-01-24 |
1,252 |
--
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Boosting MTP acceptance in TensorRT-LLM: +40% throughput
|
Mahmoud Hassan 1 other |
2026-01-24 |
1,288 |
--
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Announcing Baseten's $300M Series E
|
Tuhin Srivastava 3 others |
2026-01-24 |
358 |
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Open-Sourcing Baseten’s Suffix Automaton MTP Accelerator
|
Mahmoud Hassan 1 other |
2026-01-28 |
1,290 |
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|
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The Baseten Inference Stack at NVIDIA Dynamo Day
|
Rachel Rapp |
2026-02-04 |
1,098 |
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Fine-tuning models, AI and Hollywood: A conversation with Oxen’s founder Greg
|
Madison Kanna |
2026-02-05 |
3,376 |
--
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How to run LLM performance benchmarks (and why you should)
|
Alex Ker 1 other |
2026-02-05 |
1,400 |
--
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OpenClaw + Kimi K2.5 on Baseten = frontier agent performance with OSS
|
Alex Ker 1 other |
2026-02-05 |
491 |
--
|
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AI Model Performance Metrics Explained
|
Kenzie Amack |
2026-02-10 |
1,595 |
--
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How we built the fastest Kimi K2.5 on Artificial Analysis
|
Tri Dao 3 others |
2026-02-12 |
834 |
3
|
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Announcing the acquihire of Inferless by Baseten
|
Nilesh Agarwal 1 other |
2026-02-14 |
468 |
1
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MiniMax M2.5: Intelligence too cheap to meter, RL process rewards, real-world productivity
|
Alex Ker |
2026-02-14 |
902 |
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Four Bits
|
Ali Taha |
2026-02-19 |
4,522 |
--
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Introducing RadixMLP: Intra-batch deduplication for causal transformers
|
Michael Feil |
2026-02-23 |
1,863 |
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Outperforming frontier models on emergency department chart generation
|
Charles O'Neill 1 other |
2026-03-03 |
1,829 |
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Outperforming frontier models on emergency medicine documentation
|
Harry Partridge 2 others |
2026-03-04 |
1,906 |
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