Get set, GTC! The Simplismart Team is heading to San Jose! As a gold tier sponsor at NVIDIA GTC, we proudly showcase the fastest inference engine on NVIDIA chips, and how we help enterprises save on compute costs with our completely modular MLOps deployment suite at Simplismart! Visit us at booth #2003 to experience the fastest GenAI inference engine. Explore how Simplismart enables engineers to use secure, scalable, production-ready ML workflows. Amritanshu Jain Devansh Ghatak Ansh Pratap Singh Shubhendu Shishir Tushar Goel
关于我们
Fastest inference for generative AI workloads. Simplified orchestration via a declarative language similar to terraform. Deploy any open-source model and take advantage of Simplismart’s optimised serving. With a growing quantum of workloads, one size does not fit all; use our building blocks to personalise an inference engine for your needs. ***API vs In-house*** Renting AI via third-party APIs has apparent downsides: data security, rate limits, unreliable performance, and inflated cost. Every company has different inferencing needs: *One size does not fit all.* Businesses need control to manage their cost <> performance tradeoffs. Hence, the movement towards open-source usage: businesses prefer small niche models trained on relevant datasets over large generalist models that do not justify ROI. **Need for MLOps platform*** Deploying large models comes with its hurdles: access to compute, model optimisation, scaling infrastructure, CI/CD pipelines, and cost efficiency, all requiring highly skilled machine learning engineers. We need a tool to support this advent towards generative AI, as we had tools to transition to cloud and mobile. MLOps platforms simplify orchestration workflows for in-house deployment cycles. Two off-the-shelf solutions readily available: 1. Orchestration platforms with model serving layer: *do not offer optimised performance for all models, limiting user’s ability to squeeze performance* 2. GenAI Cloud Platforms: *GPU brokers offering no control over cost* Enterprises need control. Simplismart’s MLOps platform provides them with building blocks to prepare for the necessary inference. The fastest inference engine allows businesses to unlock and run each model at performant speed. The inference engine has been optimised at three levels: the model-serving layer, infrastructure layer, and a model-GPU-chip interaction layer, while also enhanced with a known model compilation technique.
- 网站
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https://simplismart.ai
Simplismart的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- San Francisco
- 类型
- 私人持股
- 创立
- 2022
- 领域
- Machine learning、Artificial Intelligence、Deep Learning、Predictive analysis、Supervised Learning、Distributed learning、Workflow management、Auto-scale deployments、Audio Transcription、Summarization、Entity Extraction、Entity Classification、LLM、RAG、Diffusion Pipelines和Voice
产品
![点击此处查看Simplismart]()
Simplismart
数据科学与机器学习平台
Build, deploy, and manage custom deep learning models in minutes. Easy to use for a beginner and flexible for an expert. It's like making a subway sandwich! Simplismart automates and simplifies every step of the modern MLOps lifecycle, putting you in control with our easy-to-use declarative interface console and SDKs. The platform assembles a custom deep learning model on the fly through rigorous data analysis and intelligent resource estimation for deployment based on your throughput and latency SLAs.
地点
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主要
获取路线
US，San Francisco
Simplismart员工
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Saurabh Thakral
Vice President & Asia Business Head @ RapidCanvas | SaaS | No Code | AI | Data Science | MLOps
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Pranav Thombare
Machine Learning Engineer @ Simplismart | Machine Learning | Data Scientist | AOSP
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Devansh Ghatak
Building Simplismart | BITS Pilani | ex-Google
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Amritanshu Jain
Building Simplismart | BITS Pilani | Actively hiring across Tech and Growth
动态
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NVIDIA GTC is here, and Jensen's keynote highlighted the transformative potential of faster computing and more efficient ML deployments. At Simplismart, we're aligned with this vision. Our work follows these principles—streamlining MLOps, accelerating deployments, and pushing the boundaries of practical AI implementation. If you're at GTC, visit Simplismart at Booth #2003! Whether you're developing ML solutions, conducting cutting-edge research, or curious about advances in deployment efficiency, we'd love to connect. Stop by to see our platform in action and experience the fastest LLM speeds with our enterprise-grade MLOps platform. Let's discuss the future of AI! ?? #GTC25 #AI #MLOps #Innovation #NVIDIA
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Simplismart转发了
Great meeting Simplismart and Amritanshu Jain at GTC
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Congratulations to Bridgetown Research on their Series A! It’s exciting to see our partners continue to grow. We've been excited about having them as users since day-1! They've proven the theory that niche open-source models outperform large closed-source models on specific tasks. They've been smart enough to use a knife to cut an apple, avoiding the unnecessary chainsaw. We couldn't be more excited to see our partners grow, and we wish them immense success in the coming time. Checkout the complete post: https://lnkd.in/dTYb-vFh
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Simplismart转发了
It’s truly been an inspired day at Bank on Tech in Pune. This year we’ve had the pleasure of hosting Bernd Leukert and the Technology, Data and Innovation Executive Leadership Team in Pune and Bangalore. I’ve seen showcases of innovative technical solutions built out of the India Technology Center that are driving value for our clients. My personal highlight has been listening to some inspiring conversations about AI, Innovation and the Future of Enterprises by Srikanth Velamakanni , Amritanshu Jain and Dipanjan Dey. All three guests shared their thoughts on what’s next in the AI and technology space, interesting insights that were appreciated by the audience. It’s these inspired moments that make Bank on Tech a mark in the Deutsche Bank Technology, Data & Innovation calendar. There’s an inspiring takeaway for everyone present - a new learning, a new experience , new connections or even new ways to collaborate ! #DeutscheBank #MoreThanBanking
?? We're kicking off another edition of “Bank on Tech!” It's when teams come together and showcase great examples of solutions powered by innovation, collaboration and technology that are shaping the future of the bank and our clients. ?? ???? The ninth edition of the bank’s largest global technology showcase series started in Pune, Bangalore, Mumbai, Jaipur and Singapore – and will make a stop in other regions across the globe later in the coming months. This year's theme was “Enabling Client Success”. Bernd Leukert, Member of the Management Board and Chief Technology, Data and Innovation Officer, and the Deutsche Bank Technology, Data & Innovation leadership team joined Bank on Tech in Pune this year. Bernd launched the event with a keynote speech, followed by an insightful fireside chat with Srikanth Velamkanni on AI, innovation and the future of enterprises. ?? Amritanshu Jain of Simplismart AI and Dipanjan Dey of Kombai, two founders running successful AI start-ups in India joined “AI Decoded”, an enlightening panel discussion. Once again, Bank on Tech was a shining example of energy, passion, dedication and hard work. We look forward to more, as this annual global signature event will follow in other parts of the world in the months to come! #Technology #Innovation #AI #DeutscheBank
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Simplismart转发了
Bengaluru Startup Simplismart Steals the Show! While hardware giants like NVIDIA, Groq, and Cerebras Systems race for the fastest inference, Simplismart takes a different path—focusing on software innovation to revolutionize AI deployment Led by ex-Oracle and Google engineers, Simplismart’s model-agnostic, chip-agnostic platform boasts record-breaking speeds, such as 343 tokens/sec for Llama 3.1 8B, without relying on proprietary hardware. Their MLOps platform empowers enterprises to fine-tune and deploy AI models with unmatched efficiency and control, keeping privacy and autonomy front and center. With $7M in funding from Accel and others, this Bengaluru-based startup is proving you don’t need hardware to win the AI race. Speaking with?AIM,?Amritanshu Jain , the co-founder and CEO, quickly clarified that Simplismart isn’t looking to enter the hardware race. Curious about their story and vision? Read more here ?? https://lnkd.in/giAvXtTi Devansh Ghatak
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Simplismart转发了
Being the fastest inference engine doesn’t necessarily make you the best, says Amritanshu Jain, co-founder and CEO of Simplismart. Amritanshu believes that demand for specialised AI infrastructure platforms will soon skyrocket, as enterprises move beyond off-the-shelf AI capabilities in favour of greater control over performance, cost, and privacy. Watch Episode 3 of #DecodingAI, where Amritanshu and Anagh Prasad discuss building world-class AI infrastructure from India.
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We're thrilled to present at TechCrunch Disrupt in Moscone West (San Francisco) for the next three days! If you're here and are building Generative AI pipelines, visit our booth, J10, for a free diagnosis of your GenAI workloads. Our audit covers aspects like model quality, inference speed, and cost efficiency, plus a review of data exposure risk. See you there! ??
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Simplismart is presenting at Techcrunch Disrupt this year! ?? The Techcrunch Startup Battlefield competition accepts thousands of applications, and the top 200 selected companies get to present in San Francisco. We will present and set up our booth at Moscone West (SF) for the next three days (28th-30th October), and we can't wait to bring the fastest inference to the Valley. If you're at Techcrunch Disrupt this year, feel free to drop by our booth (J10) to have your Generative AI workloads diagnosed.
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