Lambda (Lambda Labs) vs Together AI: which should you pick in 2026?
Head-to-head on the facts that decide the purchase: real prices in the provider's own unit, minimum, KYC, proof, payment and terms - every number sourced in the linked reviews.
Short answer: too close to call (7.3/10 and 7.1/10). The deciding factor is your priority: Lambda (Lambda Labs) for track record, Together AI for ease of use. Facts checked 2026-09-24.
| Lambda (Lambda Labs) | Together AI | |
|---|---|---|
| Overall score (0-10) | 7.3 | 7.1 |
| Vertical | GPU / AI compute | GPU / AI compute |
| Type | GPU cloud | GPU cloud |
| Price from | $0.690 per GPU/hr | $1.99 per GPU/hr |
| Minimum | unknown | $5 |
| KYC | not documented | not documented |
| Proof | none published | none published |
| Payment | fiat | fiat |
| Contract term | unknown | unknown |
| Maintenance / fee | unknown | unknown |
| Operator | Lambda | Together AI |
| Facts checked | 2026-09-24 | 2026-09-24 |
// Score breakdown
Lambda (Lambda Labs) leads on track record (+1).
why 7.3/10?
why 7.1/10?
// Lambda (Lambda Labs) at a glance
An established, well-run GPU cloud with clear per-minute billing, no ingress/egress fees and a live status page, but it is fiat-only and non-refundable, frequently short on the cheapest GPUs, and its Inference API is being wound down.
++ What works
- Fifteen-year-old AI-only company with a public status page and enterprise track record
- Per-minute billing on on-demand instances; no ingress or egress charges
- Broad NVIDIA lineup from RTX 6000/V100 up to B200 and GH200, plus 1-Click Clusters with volume discounts
- Self-serve onboarding plus Lambda Stack (PyTorch/TF) and reserved capacity for scaling
-- What to watch
- Fiat/card and invoicing only - no crypto payment
- Cloud fees are non-cancelable and non-refundable; refunds are expiring service credits
- Community reports frequent H100/A100 stock shortages
- No compute proof or published uptime SLA; the Inference API is being withdrawn
// Together AI at a glance
A polished, enterprise-grade open-model inference and GPU-cluster provider with transparent published per-token and per-GPU rates, but it is centralized, card/ACH-only with no crypto path, fully prepaid and non-refundable, and offers no compute proof.
++ What works
- Published per-1M-token inference prices and per-GPU cluster rates (on-demand, preemptible, reserved)
- Broad NVIDIA cluster lineup (H100/H200/B200 up to GB200/GB300 NVL72) plus serverless, fine-tuning and storage
- Prepaid credits never expire; $5 minimum makes small trials possible
- Enterprise SLAs and Provisioned Throughput for production workloads
-- What to watch
- Fiat-only: cards and U.S. ACH; prepaid cards rejected, no crypto at all
- Fully prepaid, fees non-cancelable and non-refundable, no free trial
- Centralized and opaque about physical infrastructure; no compute proof
- Community reports inconsistent serverless latency and, at points, a smaller big-model catalog than competitors
// FAQ
Which is cheaper, Lambda (Lambda Labs) or Together AI?
Lambda (Lambda Labs) is cheaper at $0.690 per GPU/hr versus $1.99 per GPU/hr.
Which is more verifiable, Lambda (Lambda Labs) or Together AI?
Neither publishes an independent proof (pool worker, on-chain payout or attestation) - that is a caution for both.
Which needs less KYC, Lambda (Lambda Labs) or Together AI?
At least one provider does not document its KYC policy - treat it as unknown, not as "no KYC".
Which has the longer track record?
Lambda (Lambda Labs) has the longer track record (since 2012).
Scores and facts: meta-reviews with dated sources - Lambda (Lambda Labs) · Together AI. Method: how we verify. More: all providers compared.