Nikitha Suryadevara

369 posts

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Nikitha Suryadevara

Nikitha Suryadevara

@__nikitha

lead product for inference @togethercompute. invest in ai/ml, infra, dev tools. ex @temporalio, @google

San Francisco, CA Katılım Temmuz 2011
317 Takip Edilen1.8K Takipçiler
Nikitha Suryadevara retweetledi
Keycard
Keycard@KeycardLabs·
Your coding agents inherit your credentials and your permissions. No identity system in the stack can tell the difference between you and the agent acting in your name. Today: Keycard for Coding Agents 🧵
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Nikitha Suryadevara@__nikitha·
me explaining my intolerance of the heat - “like a flower i wilt in the sun”
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Browserbase
Browserbase@browserbase·
How about a Fetch API that works on all websites? Introducing the Browserbase Fetch API, the fastest and cheapest way to extract content from the entire web.
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Together AI
Together AI@togethercompute·
Together GPU Clusters now includes autoscaling, RBAC, full-stack observability, and self-healing operations built in. Move from experimental GPU infrastructure to production-ready AI platforms with elastic capacity, multi-team governance, and automated failure recovery.
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Hedra
Hedra@hedra_labs·
Introducing Hedra Agent, the unified intelligence for visual understanding and creation. Go from idea to content with extraordinary efficiency. Describe the outcome you want, and the agent handles the formatting, platform adaptation, and style. Whether it is a social post, a product ad, or a launch video, Hedra Agent orchestrates it start to finish. Drop in your product page, get back a full campaign with hero shots, social formats, and copy. Share a trending format you like. Agent recreates it in your voice and visual style. Describe the video you've been picturing, Agent builds it from scratch. A self-improving partner for your visual content. The era of vibe creation is here.
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Nikitha Suryadevara@__nikitha·
every single person i know who joined an AI startup in the last 12 months has gained weight it’s true i don’t make the rules, ask me how i know
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Tri Dao
Tri Dao@tri_dao·
The FA4 paper is finally out after a year of work. On Blackwell GPUs, attention now goes about as fast as matmul even though the bottlenecks are so different! Tensor cores are now crazy fast that attn fwd is bottlenecked by exponential, and attn bwd is bottlenecked by shared memory bandwidth.  Some fun stuff in the redesigned algorithm to overcome these bottlenecks: exponential emulation with polynomials, new online softmax to avoid 90% of softmax rescaling, 2CTA MMA instructions that allow two thread blocks to share operands to reduce smem traffic.
Ted Zadouri@tedzadouri

Asymmetric hardware scaling is here. Blackwell tensor cores are now so fast, exp2 and shared memory are the wall. FlashAttention-4 changes the algorithm & pipeline so that softmax & SMEM bandwidth no longer dictate speed. Attn reaches ~1600 TFLOPs, pretty much at matmul speed! joint work w/ Markus Hoehnerbach, Jay Shah(@ultraproduct), Timmy Liu, Vijay Thakkar (@__tensorcore__ ), Tri Dao (@tri_dao) 1/

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ComputeSDK
ComputeSDK@computesdk·
It's benchmark Friday and @daytonaio wins out today.
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Nikitha Suryadevara@__nikitha·
about once a quarter when i stop to take a breath, i realize how much FUN i’m having working with and building AI. work feels like play again
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Zain
Zain@ZainHasan6·
We just open sourced a dataset that cost us $130k to generate! It's 6.7B tokens of agentic coding traces of 51k tasks across 1.6k unique repos. You can SFT on it to make your models better coding agents!
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Together AI@togethercompute

We’re open-sourcing CoderForge-Preview — 258K test-verified coding-agent trajectories (155K pass | 103K fail). Fine-tuning Qwen3-32B on the passing subset boosts SWE-bench Verified: 23.0% → 59.4% pass@1, and it ranks #1 among open-data models ≤32B parameters. Thread on the data generation pipeline 🧵

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s2.dev
s2.dev@s2_streamstore·
The S2 cloud service is now GA. We also raised a $3.85M seed round led by @Accel with participation from @ycombinator, other funds and angels like @theo!
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Meagan Gamache
Meagan Gamache@meaganrgamache·
Grateful and energized: @render has raised $100M at a $1.5B valuation. This funding milestone is validation of where cloud infra for AI-native applications is headed and the trust our developer community places in us. Onward!
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