Lambda vs Avoma Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
NVIDIA B200 SXM6 (8x)
- VRAM/GPU: 180 GB
- vCPUs: 208
- RAM: 2900 GiB
- Storage: 22 TiB SSD
NVIDIA H100 SXM (8x)
- VRAM/GPU: 80 GB
- vCPUs: 208
- RAM: 1800 GiB
- Storage: 22 TiB SSD
NVIDIA A100 SXM 80GB (8x)
- VRAM/GPU: 80 GB
- vCPUs: 240
- RAM: 1800 GiB
- Storage: 19.5 TiB SSD
NVIDIA A100 SXM 40GB (8x)
- VRAM/GPU: 40 GB
- vCPUs: 124
- RAM: 1800 GiB
- Storage: 5.8 TiB SSD
NVIDIA Tesla V100 (8x)
- VRAM/GPU: 16 GB
- vCPUs: 88
- RAM: 448 GiB
- Storage: 5.8 TiB SSD
NVIDIA B200 SXM6 (4x)
- VRAM/GPU: 180 GB
- vCPUs: 104
- RAM: 1440 GiB
- Storage: 11 TiB SSD
NVIDIA H100 SXM (4x)
- VRAM/GPU: 80 GB
- vCPUs: 104
- RAM: 900 GiB
- Storage: 11 TiB SSD
NVIDIA A100 PCIe (4x)
- VRAM/GPU: 40 GB
- vCPUs: 120
- RAM: 900 GiB
- Storage: 1 TiB SSD
NVIDIA A6000 (4x)
- VRAM/GPU: 48 GB
- vCPUs: 56
- RAM: 400 GiB
- Storage: 1 TiB SSD
NVIDIA B200 SXM6 (2x)
- VRAM/GPU: 180 GB
- vCPUs: 52
- RAM: 720 GiB
- Storage: 5.5 TiB SSD
NVIDIA H100 SXM (2x)
- VRAM/GPU: 80 GB
- vCPUs: 52
- RAM: 450 GiB
- Storage: 5.5 TiB SSD
NVIDIA A100 PCIe (2x)
- VRAM/GPU: 40 GB
- vCPUs: 60
- RAM: 450 GiB
- Storage: 1 TiB SSD
NVIDIA A6000 (2x)
- VRAM/GPU: 48 GB
- vCPUs: 28
- RAM: 200 GiB
- Storage: 1 TiB SSD
NVIDIA B200 SXM6 (1x)
- VRAM/GPU: 180 GB
- vCPUs: 26
- RAM: 360 GiB
- Storage: 2.75 TiB SSD
NVIDIA GH200 (1x)
- VRAM/GPU: 96 GB
- vCPUs: 64
- RAM: 432 GiB
- Storage: 4 TiB SSD
NVIDIA H100 SXM (1x)
- VRAM/GPU: 80 GB
- vCPUs: 26
- RAM: 225 GiB
- Storage: 2.75 TiB SSD
NVIDIA H100 PCIe (1x)
- VRAM/GPU: 80 GB
- vCPUs: 26
- RAM: 225 GiB
- Storage: 1 TiB SSD
NVIDIA A100 SXM (1x)
- VRAM/GPU: 40 GB
- vCPUs: 30
- RAM: 220 GiB
- Storage: 512 GiB SSD
NVIDIA A100 PCIe (1x)
- VRAM/GPU: 40 GB
- vCPUs: 30
- RAM: 225 GiB
- Storage: 512 GiB SSD
NVIDIA A10 (1x)
- VRAM/GPU: 24 GB
- vCPUs: 30
- RAM: 226 GiB
- Storage: 1.3 TiB SSD
NVIDIA A6000 (1x)
- VRAM/GPU: 48 GB
- vCPUs: 14
- RAM: 100 GiB
- Storage: 512 GiB SSD
NVIDIA Quadro RTX 6000 (1x)
- VRAM/GPU: 24 GB
- vCPUs: 14
- RAM: 46 GiB
- Storage: 512 GiB SSD
Startup
- Up to 25 Paid Seats
- Unlimited Free View-only Seats
- Unlimited 1:1 Scheduling
- Automatic Video Recording
- Unlimited Real-time Transcription
- Unlimited AI Summary Notes
- "Ask Avoma" for a Meeting
- AI Email Follow-ups
- Auto Save Notes to CRM Records
- Dialer Integration
Organization
Popular- Up to 100 Paid Seats
- Custom AI Topics & Templates
- Group and Round-robin Scheduling
- Limited Conversation Intelligence
- Smart Playlist & AI Automations
- Translate Transcription & Notes
- Custom AI Email Templates
- Enforce Org-level Policies
- API Integration & Webhooks
- Customer Success Manager
Enterprise
- Minimum 10 Paid Seats
- Global "Ask Avoma"
- Designated Success Manager
- Concierge Onboarding & Training
- Quarterly Business Reviews
- Unlimited Usage Intelligence
- Team-Specific Access Controls
- Mutually Signed DPAs
- Single Sign-On (SAML/OIDC)
- Data Retention Policies
- HIPAA Compliance
Conversation Intelligence
- AI Coaching Recommendations
- Auto Call Scoring with AI
- Custom AI Scorecards
- SPICED, Sandler, MEDDICC, etc. AI Scorecards
- Smart Playlists – Rule Based Auto Curation
- Real-time Answer Assistant
- Global "Ask Avoma" across all your conversations
- Member & Scorecard Performance Trend Dashboard
- Interaction & Talk-Pattern Skills
- Standard Topic Intelligence
- Custom Keyword Trackers
- Custom Smart Topic Trackers
Revenue Intelligence
- "Ask Avoma" across Accounts
- "Ask Avoma" across Deals
- Dealboard for Pipeline Review
- 2-way CRM Field Updates
- AI-powered Deal Risk Alerts
- AI Deal Health Score
- AI Sales Methodology Tracker
- Roll-up & Aggregated Forecasting
- AI Win-Loss Deal Analysis
- Pipeline and Forecasting Reports
- Native CRM Integration
- Dialer Integration
Lead Router
- 1:1 Scheduling Links
- Customize Event Titles
- Embed Scheduler to your Website
- Save contacts to CRM
- Group Scheduling
- Round Robin Scheduling
- Real-time Lead Qualification and Routing
- Round Robin Scheduling based on Custom Rules and CRM fields
- Lead Routing based CRM Contact and Account Owner
- Lead Routing based on CRM Custom fields
- Form Field Based Router
- SDR to AE Handoff Router
Lambda vs Avoma FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Neither has a free plan. But Avoma offers a free trial.
- How do they charge?
- Different approach here. Lambda uses usage-based pricing, while Avoma goes with per-seat. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Lambda: Lambda positions as a serious alternative to hyperscalers (AWS, GCP, Azure) for ML teams who want raw GPU access without cloud markup or complexity. They're not the cheapest bare-metal option, but the no-egress-fees policy and 1-Click Clusters are a direct shot at teams burned by AWS networking costs. Avoma: Avoma sits in the mid-market sweet spot — cheaper than Gong or Chorus for full revenue intelligence, but more capable than basic transcription tools like Otter or Fireflies. They're clearly targeting mid-size revenue teams that want Gong-lite functionality without the Gong-sized contract, and the modular add-on structure lets them compete on entry price while upselling aggressively.
Keep tabs on both.
We'll monitor pricing changes for Lambda and Avoma and let you know when something moves.