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.

Lambda Avoma
Starts at Custom $19/mo
Number of plans 22 4
Free plan
Free trial
Pricing model usage-based per-seat

NVIDIA B200 SXM6 (8x)

Custom
  • VRAM/GPU: 180 GB
  • vCPUs: 208
  • RAM: 2900 GiB
  • Storage: 22 TiB SSD

NVIDIA H100 SXM (8x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 208
  • RAM: 1800 GiB
  • Storage: 22 TiB SSD

NVIDIA A100 SXM 80GB (8x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 240
  • RAM: 1800 GiB
  • Storage: 19.5 TiB SSD

NVIDIA A100 SXM 40GB (8x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 124
  • RAM: 1800 GiB
  • Storage: 5.8 TiB SSD

NVIDIA Tesla V100 (8x)

Custom
  • VRAM/GPU: 16 GB
  • vCPUs: 88
  • RAM: 448 GiB
  • Storage: 5.8 TiB SSD

NVIDIA B200 SXM6 (4x)

Custom
  • VRAM/GPU: 180 GB
  • vCPUs: 104
  • RAM: 1440 GiB
  • Storage: 11 TiB SSD

NVIDIA H100 SXM (4x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 104
  • RAM: 900 GiB
  • Storage: 11 TiB SSD

NVIDIA A100 PCIe (4x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 120
  • RAM: 900 GiB
  • Storage: 1 TiB SSD

NVIDIA A6000 (4x)

Custom
  • VRAM/GPU: 48 GB
  • vCPUs: 56
  • RAM: 400 GiB
  • Storage: 1 TiB SSD

NVIDIA B200 SXM6 (2x)

Custom
  • VRAM/GPU: 180 GB
  • vCPUs: 52
  • RAM: 720 GiB
  • Storage: 5.5 TiB SSD

NVIDIA H100 SXM (2x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 52
  • RAM: 450 GiB
  • Storage: 5.5 TiB SSD

NVIDIA A100 PCIe (2x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 60
  • RAM: 450 GiB
  • Storage: 1 TiB SSD

NVIDIA A6000 (2x)

Custom
  • VRAM/GPU: 48 GB
  • vCPUs: 28
  • RAM: 200 GiB
  • Storage: 1 TiB SSD

NVIDIA B200 SXM6 (1x)

Custom
  • VRAM/GPU: 180 GB
  • vCPUs: 26
  • RAM: 360 GiB
  • Storage: 2.75 TiB SSD

NVIDIA GH200 (1x)

Custom
  • VRAM/GPU: 96 GB
  • vCPUs: 64
  • RAM: 432 GiB
  • Storage: 4 TiB SSD

NVIDIA H100 SXM (1x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 26
  • RAM: 225 GiB
  • Storage: 2.75 TiB SSD

NVIDIA H100 PCIe (1x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 26
  • RAM: 225 GiB
  • Storage: 1 TiB SSD

NVIDIA A100 SXM (1x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 30
  • RAM: 220 GiB
  • Storage: 512 GiB SSD

NVIDIA A100 PCIe (1x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 30
  • RAM: 225 GiB
  • Storage: 512 GiB SSD

NVIDIA A10 (1x)

Custom
  • VRAM/GPU: 24 GB
  • vCPUs: 30
  • RAM: 226 GiB
  • Storage: 1.3 TiB SSD

NVIDIA A6000 (1x)

Custom
  • VRAM/GPU: 48 GB
  • vCPUs: 14
  • RAM: 100 GiB
  • Storage: 512 GiB SSD

NVIDIA Quadro RTX 6000 (1x)

Custom
  • VRAM/GPU: 24 GB
  • vCPUs: 14
  • RAM: 46 GiB
  • Storage: 512 GiB SSD

Startup

$19/mo
  • 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
$29/mo

Enterprise

$39/mo

Conversation Intelligence

$29/mo
  • AI Coaching Recommendations
  • AI Call Scoring
  • Smart Trackers
  • Global "Ask Avoma"

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 mid-market — cheaper than heavyweight revenue intelligence platforms like Gong or Chorus, but pricier than bare-bones transcription tools. They're positioning as the value pick for teams that want conversation intelligence AND meeting scheduling/notes in one tool, without paying enterprise-software prices.

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