Startup profile for Together AI: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Together AI funding, valuation and investors

Neocloud GPU platform for production AI training and open-model inference.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series C-scale

$800M · 2026

Latest known valuation

$8.3B

Series C-scale · 2026

Total disclosed equity funding

$800M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

growth · San Francisco, CA

Investors in latest funding

Other: AI Fund

Sources: latest funding Last verified: 2026-07-25

Overview

Together AI operates GPU cloud infrastructure for training and serving open-weight and custom models, positioned as a neocloud alternative when hyperscaler GPU queues and pricing constrain builders. The company raised $800M in 2026 at an $8.3B valuation per VCT coverage, with AI Fund among directory-linked investors. Together targets availability, price-performance, and open-model serving for agent and production workloads.

Why Together AI is interesting

Hyperscaler GPU allocation is the bottleneck for 2026 AI shipping — Together monetizes dedicated neocloud capacity with open-model serving stack included.

Product & use cases

GPU clusters, inference APIs, and fine-tuning infrastructure for developers running open-weight models at production scale.

  • Fine-tuning and serving Llama-class open models
  • Burst GPU capacity beyond cloud provider quotas
  • Cost-sensitive inference versus DIY cluster ops

Key facts

  • 2026 raise: $800M at $8.3B valuation (VCT/TechCrunch refs)
  • Neocloud / GPU cloud category
  • AI Fund on cap table per directory
  • Open-weight model serving focus

Funding history (newest first)

Investors in our directory

Funds linked from Together AI's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Combined neocloud capacity plus open-model serving software — one vendor for weights and compute.

Neocloud is capital-intensive and commoditizing; winners need utilization, reliability, and developer UX. Together's $800M round signals belief it can sustain unit economics at scale.

  • CoreWeave direct

    GPU neocloud scale player.

  • AWS/GCP/Azure GPU incumbent

    Hyperscaler instances with allocation friction.

  • Modal / Baseten adjacent

    Inference platforms with different infra models.

Notable stories

  • VCT profile framed Together as proof dedicated AI compute attracts growth-scale capital in 2026.

Industries

AI & Machine Learning Infrastructure & Cloud

Related funding articles

Venture Capital Tracker pieces that cover Together AI's financing or category context.

FAQs about Together AI

Practical answers founders, operators, and investors typically search for.

GPU cloud (neocloud) for AI training and inference, especially open-weight models.
$800M at $8.3B valuation in 2026 per VCT coverage.
Dedicated GPU cloud with open-model serving versus general hyperscaler queues.
AI Fund among directory investors. See /fund/ai-fund.
Dedicated GPU cloud providers separate from AWS/Azure/GCP.
Yes — inference and fine-tuning for open-weight models is core positioning.
Private; unit economics debated industry-wide for GPU clouds.
Agent workloads multiply token demand straining shared hyperscaler capacity.
San Francisco Bay Area AI infra company.
Both neoclouds; compare p95 latency, utilization, and $/token under real traffic.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.