Lambda vs Yandex
Relationship
Lambda Inference and Yandex DataSphere do comparable work on model hosting; both also serve buyers who need to serve a model in production; Yandex's scale not recorded; ships API service, application and 2 more rather than the same layer.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 5 capabilities — Shares model hosting, model inference and model training.
Ludbee capability tags · from the product recordsDifferent layer — Yandex ships API service, application and 2 more, not the same layer.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for Yandex · 2
Recorded for Lambda. Yandex’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Lambda · 15
Recorded for Yandex. Lambda’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Lambda
No shared stack layer with the other side.
Yandex
No shared stack layer with the other side.
No counterpart
Lambda sells these in a stack layer with no product recorded for Yandex yet — nothing on the other side to compare them against.
Infrastructure service
Self-serve GPU clusters from 16 to 2,000+ NVIDIA B200 or H100 GPUs, provisioned without a sales cycle for training, fine-tuning and large inference runs.
On-demand NVIDIA instances for training, fine-tuning and serving — 1 to 8 GPUs launched in minutes with self-serve access — billed by the minute with no egress charge, alongside the 1-Click Clusters and liquid-cooled superclusters Lambda sells for larger runs.
Hourly NVIDIA GPU instances — H100, H200, B200 and A100 — launched in minutes with no egress fees.
Rents dedicated large-scale AI training and inference GPU clusters at supercomputer scale.
Model API
Hosted inference endpoints for open-weight models on Lambda's own GPU fleet, billed per token.
Yandex sells these in a stack layer with no product recorded for Lambda yet — nothing on the other side to compare them against.
Application
Yandex's consumer AI assistant and chat product, which answers questions with web search, analyses uploaded files, and generates text and images from Yandex's own generative models.
Speech-analytics service that transcribes and analyses voice and text customer conversations to surface topics, sentiment and service-quality metrics.
API service
Speech recognition and speech synthesis API built on the technology behind the Alice assistant, used for voice assistants, call-centre automation and service-quality monitoring.
Neural machine translation API supporting more than 100 languages, sold as a Yandex Cloud service.
Computer-vision API that recognises and extracts text, tables, handwriting, document fields and licence plates from images and PDFs in 48 languages.
Developer tool
Yandex's AI coding assistant for VS Code and JetBrains IDEs, offering completion, chat, code review and an agent mode that carries out development tasks from natural-language instructions.
Platform
Yandex Cloud platform that serves Yandex's generative models (YandexGPT, YandexART, embeddings, classifiers) over an API, with fine-tuning, a model gallery and agent/assistant tooling.
End-to-end managed ML development environment with notebooks, distributed training jobs and one-click model deployment on elastically scaled CPU/GPU resources.