Compute Comparison
vs
All providers →

Oblivus vs Together AI: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Oblivus and Together AI. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2022
2022
Headquarters
Europe
San Francisco, CA
Billing model
On-demand, Reservations
Per-token (inference), On-demand / Reserved (GPU cloud)
Min commitment
None
None
Support tier
Community → Business
Community → Enterprise
Regions
2 regions
2 regions

Strengths & Best For

Oblivus

Oblivus is a GPU cloud offering H200, H100 SXM5, H100 NVLink, H100 PCIe, A100 NVLink, A100 PCIe, L40, RTX 4090, and RTX A6000 instances with transparent all-in pricing (vCPUs, RAM, and storage included). Reservation pricing available for H100 SXM5. Price is locked at deployment — if prices decrease, you benefit; if they increase, your rate stays unchanged. RTX 5090 now available on demand. No spot instances — dedicated instances only.

Strengths
  • Price locked at deployment — protected from future price increases
  • All-in pricing: vCPUs, RAM, storage included — no hidden fees
  • H200, H100 SXM5, A100 — competitive dedicated pricing
  • RTX 5090 now available on demand
  • Dedicated instances only — no noisy-neighbor effects
  • Free data ingress and egress
Weaknesses
  • No spot instances — dedicated only (higher minimum cost)
  • Smaller provider — limited scale vs hyperscalers
  • Limited documentation and support resources
Best For
Cost-sensitive AI training with predictable pricingTeams wanting dedicated (non-spot) instancesBudget H100 and A100 workloadsEuropean startups and researchers
Visit Oblivus

Affiliate link — we may earn a commission.

Oblivus Rating

No reviews yet — add yours ↗

Together AI

Together AI is a full-stack AI platform combining a high-throughput inference API (200+ open-source models), dedicated GPU clusters (H100 SXM, A100), and a managed fine-tuning service. Together MoE optimization cuts costs on large mixture-of-experts models. Function calling and JSON mode across all major models. Fine-tuning: LoRA and full fine-tune for Llama, Mistral, and Qwen. GPU cloud: H100 SXM and A100 clusters for large-scale training. Check api.together.ai/models for current per-token rates.

Strengths
  • 200+ open-source models — wide inference API catalog
  • Llama 4 Scout — competitive frontier-open pricing
  • Together MoE optimization reduces cost on large MoE models
  • Managed fine-tuning: LoRA and full fine-tune for Llama, Mistral, Qwen
  • Function calling and JSON mode across all major models
  • GPU cloud + inference API from one vendor
Weaknesses
  • GPU cloud side less polished than pure-play providers like CoreWeave
  • Inference API latency trails Fireworks and Cerebras on speed benchmarks
  • Enterprise SLAs require custom contracts — not self-serve
Best For
Teams wanting inference API + GPU training from one vendorFine-tuning Llama, Mistral, or Qwen at scaleCost-conscious teams replacing OpenAI with open-source modelsResearchers needing broad model access without self-hosting
Visit Together AI
Together AI Rating

No reviews yet — add yours ↗

Live GPU Pricing

Live prices load below.

Region Coverage

Popular Comparisons

Key differences

Oblivus

H200, H100 SXM, A100, RTX 4090 — price locked at deployment

Together AI

Full-stack AI platform — 200+ models, GPU cloud, fine-tuning, and Together MoE optimization

AttributeOblivusTogether AI
Provider typespecialistspecialist
Billing modelOn-demand, ReservationsPer-token (inference), On-demand / Reserved (GPU cloud)
Min commitmentNoneNone
Regions2 (EU, US)2 (US-East, US-West)
Support tierCommunity → BusinessCommunity → Enterprise
Best forCost-sensitive AI training with predictable pricing, Teams wanting dedicated (non-spot) instancesTeams wanting inference API + GPU training from one vendor, Fine-tuning Llama, Mistral, or Qwen at scale
Founded / HQ2022 · Europe2022 · San Francisco, CA