For startups working in AI, NVIDIA GTC is one of the most important events of the year.
The AI conference will see thousands of startup founders, app creators, enterprise executives, and investors head to San Jose, California on March 17th for a week of sessions, technical workshops, expert panels, and networking events that are tailored for startups.
This includes VC and startup pitches, and AI day for Startups, and the latest from Nvidia’s Inception program for startups.
As startups are given prominence at this premiere AI conference for developers, it shows that the industry is bullish on the contributions they are making to the future of AI.
For one, AI startups are driving a VC funding resurgence, capturing record US investment in 2024.
The event also follows hot on the heels of the disruptive launch of the DeepSeek-3 model. An era of new, affordable LLMs could also benefit the startup community, helping to bring new solutions to market more quickly with less resources. As this development continues to play out, we can already see that lowering the price of usable AI models is set to be a key market differentiator for the chapter ahead.
SQream, a leading machine learning (ML) acceleration platform and one of NVIDIA’s longest-serving collaborators, has been at the forefront of data acceleration techniques for years.
This March, its team of tech experts will showcase breakthrough innovations at GTC that offer unparalleled performance that overcomes pressing AI and Machine Learning industry challenges.
How to address model bias
Model bias is also a highly pervasive issue within the industry, where blind spots and partial data sets impact the quality and results that models deliver. For startups, this could affect everything from minimal viable product to their ability to secure funding.
At the NVIDIA GTC conference, SQream will highlight its integration using NVIDIA RAPIDS that build on its existing products to support enhanced GPU efficiency, streamlined workflows through a unified data platform, and overcome traditional limitations like GRAM constraints to train on massive datasets.
The new integration with RAPIDS is also set to make it even easier for developers to incorporate the benefits of GPU acceleration into ML workflows, requiring only low-code SQL and Python.
The solution is expected to be well received by the industry given its ability to address current data challenges. By enabling the training of machine learning models on complete datasets without data sampling, SQream eliminates the blind spots caused by partial data.
With a more diverse and extensive data foundation, models can uncover rare patterns, drive better decisions, and improve efficiency while reducing costs.
Complex queries at fraction of the cost
As the need for more cost-effective AI solutions becomes clear, SQream will also be detailing the benefits of the wider product portfolio that is already helping businesses accelerate data analytics at an unprecedented scale, processing petabyte-scale datasets significantly faster than traditional CPU-based solutions and performing complex queries at a fraction of the cost.
SQreamDB is an SQL database that powers AI, analytics, and machine learning at scale. These benefits are thanks to SQream’s novel acceleration engine that leverages the power of NVIDIA’s GPU technology to overcome inefficiencies in traditional predictive AI workflows, offering end-to-end support from data preparation to inference.
AI innovation
Startups are a driving force within the AI community, helping to deliver innovative solutions and address unmet market needs.
The NVIDIA GTC conference will showcase the very latest tech breakthroughs that support the next chapter of AI-driven startups and novel solutions.
