根据该公司发布的一则公告，人工智能推理基础设施公司Simplismart在一轮B轮融资中筹集了1400万美元，本轮融资由达拉斯风投（Dallas Venture Capital）领投。
Simplismart, an AI inference infrastructure company, has raised $14 million in a Series B funding round led by Dallas Venture Capital, according to a company announcement.
英伟达（NVIDIA）、Accel、Shastra VC和Micromax也参与了本轮融资。
The funding also saw participation from NVIDIA, Accel, Shastra VC and Micromax.
这家总部位于班加罗尔的公司在声明中表示，其将利用这笔资金进一步开发其AI推理平台，帮助企业更高效地运行AI应用，并使云服务商能够将自身的GPU基础设施转化为可向客户提供的托管AI服务。这笔资金还将支持扩大云服务商和主权AI合作伙伴关系，以及在北美和其他全球市场的业务增长。
In a statement, the Bengaluru-based company said that it will use the funds to further develop its AI inference platform, helping enterprises run AI applications more efficiently and enabling cloud providers to turn their GPU infrastructure into managed AI services they can offer customers. The funds will also support the expansion of cloud-provider and sovereign AI partnerships, alongside growth across North America and other global markets.
Simplismart联合创始人兼首席执行官阿姆里坦舒·贾因（Amritanshu Jain）表示：“行业多年来一直在推动AI模型能力的极限。随着前沿级开源模型现已触手可及，单纯的获取已不足以让企业脱颖而出。优势来自于你的运行方式：每次交互的成本、应用响应的速度，以及在需求增长时它是否能保持可靠。”
“The industry has spent years pushing the limits of what AI models can do. With frontier-class open models now readily available, access alone is no longer enough to set a business apart. The advantage comes from how you run them: what each interaction costs, how quickly the application responds, and whether it stays reliable as demand grows,” said Amritanshu Jain, co-founder and CEO of Simplismart.
“我们花了四年时间构建模型与GPU之间的软件层，帮助客户优化其工作负载的部署和运维。这笔资金将使我们能够将该平台推广给全球更多的企业和云服务商。”Simplismart提供软件，帮助企业在GPU基础设施上运行和扩展AI模型，并优化性能、速度和成本。其模块化推理引擎允许公司自定义AI模型的运行方式，而其编排平台则负责管理跨云和本地基础设施的部署与扩展。
“We have spent four years building the software layer between the model and the GPU, helping customers optimise how their workloads are deployed and operated. This funding will allow us to take that platform to more enterprises and cloud providers globally.”Simplismart provides software that helps businesses run and scale AI models on GPU infrastructure, optimising performance, speed and cost. Its modular inference engine allows companies to customise how AI models run, while its orchestration platform manages deployment and scaling across cloud and on-premises infrastructure.
该公司声称，其年度化经常性收入在过去六个月里增长了14倍。公司声明称，其客户包括HeyGen、Higgsfield、InVideo、Shiprocket、Apna和Ema，这些公司使用其平台在视频、语音、多模态和企业AI应用中运行生产工作负载。
The company claims that it annualised revenue run rate has grown 14-fold over the past six months. Its customers include HeyGen, Higgsfield, InVideo, Shiprocket, Apna and Ema, which use its platform to run production workloads across video, voice, multimodal and enterprise AI applications, said the company statement.