Inference tech stack

Inference builds mostly with C#, C++, Python. Its stack also includes .NET, GitHub, PyTorch, DeepSpeed. C# is named in 3 of the 3 job postings Inference published in the last 12 months (100%). Counted by Alion from the job postings of Inference, updated Sep 27, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 27, 2026
Technologies in use
38
Postings analysed
3
Open now
3
Modernity
84 /100

What programming languages does Inference use?

C# is named in 100% of job postings at Inference, followed by C++ (33%), Python (33%).

C# 3 100% optional · 3 open now · since Jul 2025
C++ 1 33% required in 100% · 1 open now · since Jan 2026
Python 1 33% required in 100% · 1 open now · since Jan 2026

What frameworks and libraries does Inference use?

PyTorch is named in 100% of job postings at Inference, followed by DeepSpeed (67%), Transformers (67%), CUDA (33%).

PyTorch 3 100% required in 100% · 3 open now · since Jan 2026
DeepSpeed 2 67% required in 100% · 2 open now · since Jan 2026
Transformers 2 67% required in 100% · 2 open now · since Jan 2026
CUDA 1 33% required in 100% · 1 open now · since Jan 2026
Megatron-LM 1 33% required in 100% · 1 open now · since Jan 2026
PyTorch C++ 1 33% required in 100% · 1 open now · since Jan 2026
SGLang 1 33% required in 100% · 1 open now · since Jan 2026
TRL 1 33% required in 100% · 1 open now · since Jan 2026
Show all (9)
TensorRT-LLM1

What cloud and platforms does Inference use?

.NET is named in 100% of job postings at Inference, followed by GitHub (100%), Hugging Face (67%), CUDA Toolkit (33%).

.NET 3 100% required in 100% · 3 open now · since Jul 2025
GitHub 3 100% optional · 3 open now · since Jan 2026
Hugging Face 2 67% required in 100% · 2 open now · since Jan 2026
CUDA Toolkit 1 33% required in 100% · 1 open now · since Jan 2026
vLLM 1 33% required in 100% · 1 open now · since Jan 2026
Kubernetes 1 33% optional · 1 open now · since Jan 2026

What developer tools does Inference use?

Axolotl is named in 33% of job postings at Inference, followed by Docker (33%), TensorRT (33%).

Axolotl 1 33% required in 100% · 1 open now · since Jan 2026
Docker 1 33% optional · 1 open now · since Jul 2025
TensorRT 1 33% optional · 1 open now · since Jan 2026

What AI and ML technologies does Inference use?

GPT-5 is named in 100% of job postings at Inference, followed by LLM (100%), LoRA (33%), PEFT (33%).

GPT-5 3 100% required in 100% · 3 open now · since Jan 2026
LLM 3 100% required in 100% · 3 open now · since Jul 2025
LoRA 1 33% required in 100% · 1 open now · since Jan 2026
PEFT 1 33% optional · 1 open now · since Jan 2026

Which engineering practices does Inference ask for?

Knowledge Distillation is named in 100% of job postings at Inference, followed by Model Distillation (100%), Post-training (67%), SFT (67%).

Knowledge Distillation 3 100% required in 100% · 3 open now · since Jan 2026
Model Distillation 3 100% required in 100% · 3 open now · since Jan 2026
Post-training 2 67% required in 100% · 2 open now · since Jan 2026
SFT 2 67% required in 100% · 2 open now · since Jan 2026
Multimodal AI 2 67% optional · 2 open now · since Jan 2026
DPO 1 33% required in 100% · 1 open now · since Jan 2026
ETL/ELT 1 33% required in 100% · 1 open now · since Jan 2026
KV Cache 1 33% required in 100% · 1 open now · since Jan 2026
Show all (13)
Quantization1
RLHF1
Reinforcement Learning1
Speculative Decoding1
Embeddings1

How does your stack fit Inference?

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How is the Inference 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.

Not named for 6 months
.NETJan 2026
GPT-5Jan 2026
Knowledge DistillationJan 2026
LLMJan 2026
Model DistillationJan 2026
PyTorchJan 2026
C#Jan 2026
GitHubJan 2026

How modern is the Inference stack?

Cutting-edge AI adopter 84/100

Inference scores 84 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.

Questions about the Inference tech stack

What programming languages does Inference use?

The languages named in Inference job postings are C# (100%), C++ (33%), Python (33%), as a share of the 3 postings of the last 12 months.

Does Inference use PyTorch?

Yes. PyTorch is named in 3 of 3 job postings (100%) and required in 3 of them.

What cloud and platforms does Inference use?

The cloud and platforms named in Inference job postings are .NET (3), GitHub (3), Hugging Face (2) (postings in brackets).

Is the Inference tech stack changing?

No new technology has appeared in Inference job postings in the last six months.

How modern is the Inference tech stack?

Inference scores 84 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.

How does Alion know the Inference tech stack?

Alion reads every job posting Inference publishes and tags the technologies each one names. The figures on this page count the 3 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, "Inference tech stack: 38 technologies from 3 job postings", as of Sep 27, 2026. https://alion.io/company/inference/technologies

Licence: CC BY-SA 4.0JSON