GPU compute for
AI agents.

Submit Python through MCP. Run training, benchmarks, ablations on real GPUs. Per-second billing. Reproducible to the seed.

Start Free with $5 CreditView Examples
Kernel latency benchmarkCustom Triton vs PyTorch SDPA · RTX 4090 · FP16010203040ms5121024204840968192sequence length0.81.21.42.12.34.74.112.37.238.6TritonPyTorch5.4xfaster at 8192Benchmarked in 4.2s · cost: $0.003 · reproducible

01 \u2014 Agents That Ship

For agents that ship.

$ volspan run benchmark.py --parallelSubmitting 5 parallel runs to Volspan...Llama-3-8B   ████████████ 87.3%  3.2s/exampleMistral-7B   ████████████ 84.1%  2.8s/examplePhi-3-mini   ████████████ 79.2%  1.4s/exampleGemma-7B     ████████████ 82.8%  2.9s/exampleQwen2-7B     ████████████ 88.1%  3.1s/example✓ Complete in 3m 42sTotal cost: $0.42Reproducibility: seed=42

Benchmarking

Compare models in parallel.

Submit 8 models, get results in the time of one. Per-second billing on every run. Find the right model for your use case in minutes.

8 models \u00b7 4 minutes \u00b7 $0.42 \u00b7 Reproducible

Training

Train models from your agent.

From dataset to trained adapter in seconds. Reproducible to the random seed. Permanent URLs for every run, citable forever.

17 seconds \u00b7 $0.09 \u00b7 4.3MB adapter \u00b7 Seed 42

$ volspan run train.py --gpu rtx4090Submitting training run to Volspan...step  1/20   loss=4.76   lr=3e-4   tokens/sec=15234step  5/20   loss=2.84   lr=3e-4   tokens/sec=15891step 10/20   loss=1.94   lr=3e-4   tokens/sec=15723step 15/20   loss=1.42   lr=3e-4   tokens/sec=15856step 20/20   loss=1.23   lr=3e-4   tokens/sec=15912✓ Training complete in 17.3sAdapter: r2.volspan.dev/runs/abc123/adapter.safetensors (4.3MB)Cost: $0.087Reproducibility hash: sha256:f8b3a2...

02 \u2014 Agents That Research

For agents that research.

$ volspan run ablation.py --sweepSubmitting 18 parallel runs to Volspan...config_01  lr=1e-4  dataset=A  seed=42   val_loss=0.847config_02  lr=1e-4  dataset=A  seed=43   val_loss=0.852config_03  lr=1e-4  dataset=A  seed=44   val_loss=0.849config_04  lr=3e-4  dataset=A  seed=42   val_loss=0.723config_05  lr=3e-4  dataset=A  seed=43   val_loss=0.731config_06  lr=3e-4  dataset=A  seed=44   val_loss=0.728  ...12 more runs✓ 18 runs complete in 11m 47sBest: config_04 (lr=3e-4, dataset=A, val_loss=0.723)Total cost: $1.42All runs citable: r2.volspan.dev/ablations/study-xyz789

Ablations

Run experiments in parallel.

Submit your full sweep. Every run reproducible to the seed. Permanent URLs for citation in your methods section. From hypothesis to result in minutes.

18 runs \u00b7 11 minutes \u00b7 $1.42 \u00b7 Citable forever

Embeddings

Embed your corpus once.

Process thousands of documents in a single batch. Build RAG systems, run semantic search, prepare for retrieval-augmented research at corpus scale.

5,000 abstracts \u00b7 47 seconds \u00b7 $0.31 \u00b7 One-time cost

$ volspan run embed.py --batchLoading model: all-MiniLM-L6-v2 (89MB)... doneProcessing 5,000 abstracts in batches of 64...[████████████████████████████████] 5000/5000  100%✓ Embedding complete in 47.3sOutput: 5000 × 384 dimensional vectorsFile: r2.volspan.dev/runs/def456/embeddings.npy (7.7MB)Cost: $0.31

Free Credit

$5

On every new account. No card required. Enough to fine-tune three models, run a benchmark suite, or generate a few hundred images.

Claim Your $5

Pricing

Per-second. Pay only for what you use.

Free
$0/month

For trying Volspan and small projects.

  • ✓$5 free credit (never expires)
  • ✓RTX 4090 access
  • ✓Per-second billing
  • ✓1 concurrent run
  • ✓Reproducible runs
  • ✓MCP integration
  • ✓Community support
Get Started
Pro
$19/month

For individual ML engineers and researchers.

  • ✓Everything in Free
  • ✓A100 80GB access
  • ✓5 concurrent runs
  • ✓30 days run history
  • ✓Email support
Start Free Trial
Team
$299/month

For teams shipping ML to production.

  • ✓Everything in Pro
  • ✓H100 80GB access
  • ✓100 concurrent runs
  • ✓Unlimited team members
  • ✓Audit logs
  • ✓Priority support
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Pay-as-You-Go GPU Rates

RTX 4090 24GB$0.0005/sec$1.80/hour
A100 80GB$0.0015/sec$5.40/hour
H100 80GB$0.0022/sec$7.92/hour

Start running GPU code from your agent.

Get Started Free

$5 of GPU compute. No card required. Free tier never expires.