We're building the infrastructure that makes AI accessible to every developer. Fast, affordable, and open.
InferGrove was founded in 2024 by a team of systems engineers and ML researchers who were frustrated by the state of AI inference. Running open-source models was either painfully slow, prohibitively expensive, or required deep infrastructure expertise.
We believed that the future of AI would be open-source, and that the bottleneck wasn't model quality โ it was inference speed and cost. So we set out to build the fastest, most efficient inference platform in the world.
Today, InferGrove serves over 50,000 developers and processes 2.4 million requests per second. Our custom inference engine, built from the ground up with optimized CUDA kernels and speculative decoding, delivers 2-5x better performance than alternatives.
Every millisecond matters. We obsess over latency at every layer of the stack โ from CUDA kernels to network routing. Fast inference unlocks new use cases and better user experiences.
We believe the future of AI is open. We contribute to open-source projects, publish our research, and build tools that make open models competitive with proprietary alternatives.
Our team publishes at top venues (NeurIPS, ICML, MLSys) and our production systems incorporate the latest advances in model optimization, quantization, and serving.
We're developers building for developers. Every API design decision, every error message, every piece of documentation is crafted with the developer experience in mind.
Your data is yours. We never train on customer data, we publish our security practices, and we're transparent about our pricing, performance, and limitations.
More efficient inference means lower costs and lower environmental impact. We're committed to reducing the compute required per token through better algorithms and hardware utilization.
World-class engineers and researchers from Google, Meta, NVIDIA, and top research labs.
Co-founder & CEO
Previously: Staff Engineer at Google DeepMind. PhD in Distributed Systems, MIT.
Co-founder & CTO
Previously: Principal Engineer at NVIDIA (CUDA team). PhD in Computer Architecture, Stanford.
VP of Engineering
Previously: Director of Infrastructure at Meta AI. Built PyTorch serving infrastructure.
Head of Research
Previously: Research Scientist at Google Brain. 40+ papers on model optimization. PhD, Berkeley.
VP of Product
Previously: Product Lead at Vercel. Built developer tools used by millions.
VP of Sales
Previously: Enterprise Sales at Databricks. Grew ARR from $50M to $500M.
Head of Security
Previously: Security Lead at Stripe. Built zero-trust infrastructure for financial systems.
Head of ML Infrastructure
Previously: Senior Staff at Google (TPU team). Expert in distributed training systems.
Led by Andreessen Horowitz with participation from NVIDIA Ventures. Valued at $2.4B. Expanding to 12 global regions.
Reached 50,000 active developers. Launched AI Agents platform, batch processing, and fine-tuning capabilities.
Led by Sequoia Capital. Launched dedicated GPU clusters and enterprise tier. Achieved 99.99% uptime.
Launched publicly with 100+ models. Reached 10,000 developers in first month. Published SpecServe paper at MLSys.
Led by Index Ventures. Hired founding team of 20 engineers from Google, Meta, and NVIDIA.
Alex Kowalski and Sophia Park founded InferGrove in San Francisco with a mission to make AI inference fast and affordable.
Supported by the world's leading technology investors.
We're a remote-first company with a culture built on trust, ownership, and technical excellence.
Work from anywhere in the world. We have team members across 12 countries and 8 time zones. Offices in SF, NYC, and London for those who prefer in-person collaboration.
We deploy to production multiple times per day. Small teams with full ownership move fast. We value iteration speed over perfection โ ship, measure, improve.
$5,000 annual learning budget. Conference attendance encouraged. Weekly tech talks and paper reading groups. Dedicated time for research and open-source.
Premium health, dental, and vision insurance. 401(k) with 4% match. Generous parental leave. Mental health support and wellness stipend.
Every employee receives meaningful equity. We believe everyone who contributes to building InferGrove should share in its success.
Unlimited PTO with a minimum of 4 weeks encouraged. We trust you to manage your time. Company-wide shutdown weeks in summer and winter.
We believe in open source and actively contribute to the ecosystem that makes our work possible.
Our open-source inference engine with custom CUDA kernels. Used by 5,000+ developers for self-hosted deployments. Apache 2.0 licensed.
โญ 12.4K stars on GitHub
Our calibration-free quantization toolkit. Quantize any model to INT4/INT8 without calibration data. Published at ICML 2026.
โญ 4.2K stars on GitHub
Adaptive KV-cache compression library. Enables 10x longer contexts with minimal quality loss. Published at NeurIPS 2026.
โญ 3.8K stars on GitHub
TechCrunch ยท March 2026
The startup's custom inference engine delivers 2-5x better performance than AWS and Azure alternatives.
The Information ยท January 2026
With 50,000 developers and growing, InferGrove has become the go-to platform for open-source model deployment.
VentureBeat ยท October 2025
The company's research on speculative decoding is now deployed in production, serving millions of requests daily.
We're hiring world-class engineers and researchers. Come build the fastest inference platform on earth.