Tensorfuse @tensorfuse

Run serverless GPUs on your private cloud tensorfuse.io San Francisco, US Joined December 2023

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agam @agam_jn

a week ago

there's great alpha in just knowing about all the inference serving flags in vLLM. we've seen a lot of companies using unoptimised configurations and just changing a few flags helped them achieve 15% higher throughput

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agam @agam_jn

2 weeks ago

irreplaceable skills that you can’t vibe code!

maharshi @mrsiipa

2 weeks ago

irreplaceable skills that you can’t vibe code!

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agam @agam_jn

4 weeks ago

if you're using OSS models just as a cheaper alternative to APIs, you're missing the point Its real power is customization We’ve seen sub 70B models, fine-tuned on 300-600 examples, beat GPT-4o & Claude on specific tasks. At @tensorfuse, we fine-tune OSS + run all infra in…

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agam @agam_jn

2 months ago

We're filling up fast and only have ~20% of the seats remaining for our upcoming workshop in SF If you’re building AI apps, Voice Agents, LLM gateways, etc. with customised models, this workshop will help you: - Set up infra to fine-tune and deploy custom models directly in…

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agam @agam_jn

2 months ago

We're cooking something big in partnership with @AWSstartups Will share more details by this week Stay tuned!

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agam @agam_jn

2 months ago

We're self hosting the entire Voice AI Stack and will open source all the code! It's much harder than we thought! Lot of devs have shared this issue and so we're planning a comprehensive blog on how to self-host the complete Voice AI agent stack using SOTA open-source models…

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agam @agam_jn

2 months ago

SSH Isn't Enough: Why Production-Grade AI Deployment Demands More! Running a model by SSHing into a remote server and executing scripts is not production deployment. It will probably work fine for initial 5-10 customers. But if you care about: ✅ Uptime, ✅ Reliability,…