Inferact tech stack
Inferact builds mostly with Python, Rust, C++, Bash. Its stack also includes vLLM, PyTorch, SGLang, Kubernetes. vLLM is named in 30 of the 30 job postings Inferact published in the last 12 months (100%). Counted by Alion from the job postings of Inferact, updated Sep 27, 2026.
What programming languages does Inferact use?
Python is named in 43% of job postings at Inferact, followed by Rust (23%), C++ (20%), Bash (10%).
What frameworks and libraries does Inferact use?
PyTorch is named in 40% of job postings at Inferact, followed by SGLang (37%), TensorRT-LLM (33%), Triton (23%).
Show all (19)
What cloud and platforms does Inferact use?
vLLM is named in 100% of job postings at Inferact, followed by Kubernetes (27%), CUDA Toolkit (17%), AWS (17%).
Show all (22)
What developer tools does Inferact use?
TensorRT is named in 33% of job postings at Inferact, followed by Terraform (23%), Helm (20%), TPU (20%).
Show all (15)
What AI and ML technologies does Inferact use?
LLM is named in 40% of job postings at Inferact.
Which engineering practices does Inferact ask for?
KV Cache is named in 33% of job postings at Inferact, followed by Quantization (30%), Machine Learning (20%), AI Agents (13%).
Show all (11)
What does each Inferact team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
18 postingsHow does your stack fit Inferact?
How is the Inferact stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Inferact stack?
Inferact scores 65 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Inferact stack in its industry?
Share of the 2,054 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Inferact apart
Companies with a stack like Inferact
Questions about the Inferact tech stack
What programming languages does Inferact use?
The languages named in Inferact job postings are Python (43%), Rust (23%), C++ (20%), Bash (10%), Go (3%), as a share of the 30 postings of the last 12 months.
Does Inferact use PyTorch?
Yes. PyTorch is named in 12 of 30 job postings (40%) and required in 4 of them.
What cloud and platforms does Inferact use?
The cloud and platforms named in Inferact job postings are vLLM (30), Kubernetes (8), CUDA Toolkit (5) (postings in brackets).
What skills do you need for a AI/ML job at Inferact?
AI/ML postings at Inferact most often require vLLM (18), Python (11), Kubernetes (7), Rust (6), out of 18 postings in the last 12 months.
Is the Inferact tech stack changing?
Yes. NCCL, Ansible, AWS Lambda, CoreWeave first appeared in Inferact job postings in the last six months.
How modern is the Inferact tech stack?
Inferact scores 65 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Inferact tech stack?
Alion reads every job posting Inferact publishes and tags the technologies each one names. The figures on this page count the 30 postings of the last 12 months and were updated on Sep 27, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Inferact tech stack: 73 technologies from 30 job postings", as of Sep 27, 2026. https://alion.io/company/inferact/technologies
