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agent.runscan()loss -> 0.184H100{trace}results.ziprerun outliersgpu.alloc
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Meshia is a single workspace that autonomously scales and manages massive compute and intelligence towards solving hard problems

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How Meshia works

Describe your research objective in natural language. Meshia interprets the goal, identifies the right models, and plans the work.

Drop files, repos, images, or logs into your workspace. Everything becomes searchable context for the experiment run.

GPUs provision automatically. Experiments run in parallel across the cluster, scaling up or down as the work demands.

Review results, refine hypotheses, and re-run. Every iteration is tracked with full lineage and review artifacts.

Which hidden biomarker explains the responder group across these assay exports, trace exports, and validation folds?

Research plan6 nodes
GoalFind hidden responder biomarker
HypothesisTemporal assay drift separates cohorts
ExperimentRun embedding scan across 14 folds
SuccessAUC > .82 with held-out validation

A single control pane

Plans, GPU allocation, live visualizations, and review artifacts stay in one inspectable surface.

Meshia run-014 / responder-biomarker
protein-stability-scan · active workspace
Compute4x H100 · 80GBLinkRunningUtil87%
Find the hidden biomarker that explains the responder group. Use de-identified notes, assay exports, and model traces.

I mapped the cohort files, split the scan into 14 validation folds, and started a verifier pass on the hard cases. The strongest signal is temporal assay drift paired with protein stability.

I am reconciling the verifier disagreement now. Two folds are pointing at assay drift as a stable separator.

Briefing3 itemsThreads2 active
AccessWorkspace
Connected
1h 21m
$13.16/hr
17 tools

Optimized for continuous iteration

Autoscaling compute

Boots the right GPUs for each phase, then winds them down when the work is done. You never manage infrastructure.

COMPUTE
4GPUs

Model interplay

Frontier models collaborate, challenge, and reconcile work before results ship. No single point of failure in reasoning.

3 MODELS RECONCILING

Data-aware workspace

Files, repos, logs, metrics, and prior outputs stay searchable as run context. The workspace remembers everything.

▸workspace/
▸data/
·assay_matrix.csv
·assay_results.json
▸runs/
▸run-001/
·checkpoint.pt

Review artifacts

Checkpoints, traces, run summaries, and memos are packaged with lineage so the work stays inspectable.

ARTIFACT
Protein stability scan - Run 14
14 folds reviewed

Pricing

Trial
$0
  • $10 in starter credits
  • All GPU types, subject to availability
  • 1 active session
  • Full agent with 55+ tools
  • 100 GB storage
Start free
Pro
$500/mo
  • Up to 10 concurrent sessions*
  • Priority GPU allocation
  • Persistent volumes with 30-day retention
  • Experiment tracking and scheduled runs
  • Cross-model consensus
  • Agent memory across sessions
Schedule intro
Enterprise
Custom
  • Everything in Pro
  • Reserved H100 and H200 capacity
  • Unlimited sessions
  • SSO and team management
  • Custom model deployment
  • Data residency controls
Schedule intro

Compute availability

Meshia connects to compute around the world and scales with your research and experiments

REGIONS
United StatesFrontier
B200H200H100
CanadaBurst
H100A100
IcelandHigh memory
H200H100
IndiaRegional
H100L40S
JapanRegional
H200H100
GPU TYPES
B300 288GB
288 GB$7.98/hr
Frontier$7.98/hr

Extreme single-GPU memory for long-context inference, large verifier models, and frontier-scale experiments.

Available for persistent Meshia workspaces.
Simulation
Training
Inference
H100 NVL 94GB
94 GB$2.98/hr
Core$2.98/hr

High-throughput Hopper runs with extra memory for large inference, RL, and model-parallel branches.

Available for persistent Meshia workspaces.
Simulation
Training
Inference
RTX PRO 6000 96GB
96 GB$1.94/hr
Frontier$1.94/hr

Blackwell memory headroom for high-resolution vision, large adapters, and heavy inference batches.

Available for persistent Meshia workspaces.
Simulation
Training
Inference
B200 180GB
180 GB$6.88/hr
Frontier$6.88/hr

Largest training branches, long-context inference, and dense verifier passes.

Available for persistent Meshia workspaces.
Simulation
Training
Inference
H200 141GB
141 GB$4.13/hr
Frontier$4.13/hr

High-memory training, retrieval-heavy review, and long document inference.

Available for persistent Meshia workspaces.
Simulation
Training
Inference
H100 SXM 80GB
80 GB$3.09/hr
Core$3.09/hr

General training, RL, adapter sweeps, simulation, and batch inference.

Available for persistent Meshia workspaces.
Simulation
Training
Inference

Put discovery on autopilot

Which hidden biomarker explains the responder group?What recipe might push battery life past the plateau?Which verifier catches hallucinated citations early?What benchmark exposes the brittle policy?
Which hidden biomarker explains the responder group?What recipe might push battery life past the plateau?Which verifier catches hallucinated citations early?What benchmark exposes the brittle policy?
How can temporal intuition live natively inside an LLM?Which agent critique improves the result?Which CRISPR edit restores the failed pathway?Where should compute branch next?
How can temporal intuition live natively inside an LLM?Which agent critique improves the result?Which CRISPR edit restores the failed pathway?Where should compute branch next?
What sensor fusion change makes SLAM stable in shifting rooms?Which controller survives the sim-to-real jump?What material stack lowers thermal drift?What latent signal predicts protein stability?
What sensor fusion change makes SLAM stable in shifting rooms?Which controller survives the sim-to-real jump?What material stack lowers thermal drift?What latent signal predicts protein stability?

Direct massive compute towards a single objective

Stop wrangling infrastructure and intelligence. Start running experiments that converge on results.

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Meshia

Scaling compute and intelligence to solve hard problems

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